repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/mcp_ai_agents/browser_mcp_agent/main.py | mcp_ai_agents/browser_mcp_agent/main.py | import asyncio
import os
import streamlit as st
from textwrap import dedent
from mcp_agent.app import MCPApp
from mcp_agent.agents.agent import Agent
from mcp_agent.workflows.llm.augmented_llm_openai import OpenAIAugmentedLLM
from mcp_agent.workflows.llm.augmented_llm import RequestParams
# Page config
st.set_page_co... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/mcp_ai_agents/multi_mcp_agent/multi_mcp_agent.py | mcp_ai_agents/multi_mcp_agent/multi_mcp_agent.py | import asyncio
import os
import uuid
from textwrap import dedent
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp import MultiMCPTools
from agno.db.sqlite import SqliteDb
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
GITHUB_TOKEN = os.getenv("GITH... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/mcp_ai_agents/notion_mcp_agent/notion_mcp_agent.py | mcp_ai_agents/notion_mcp_agent/notion_mcp_agent.py | import asyncio
import json
import os
import sys
import uuid
from textwrap import dedent
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.mcp import MCPTools
from agno.db.sqlite import SqliteDb
from mcp import StdioServerParameters
from dotenv import load_dotenv
# Load environmen... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/mcp_ai_agents/github_mcp_agent/github_agent.py | mcp_ai_agents/github_mcp_agent/github_agent.py | import asyncio
import os
import streamlit as st
from textwrap import dedent
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.tools.mcp import MCPTools
from mcp import StdioServerParameters
st.set_page_config(page_title="🐙 GitHub MCP Agent", page_icon="🐙", layout="wide")
st.markdown("<h1 c... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/mixture_of_agents/mixture-of-agents.py | starter_ai_agents/mixture_of_agents/mixture-of-agents.py | import streamlit as st
import asyncio
import os
from together import AsyncTogether, Together
# Set up the Streamlit app
st.title("Mixture-of-Agents LLM App")
# Get API key from the user
together_api_key = st.text_input("Enter your Together API Key:", type="password")
if together_api_key:
os.environ["TOGETHER_API... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/web_scrapping_ai_agent/local_ai_scrapper.py | starter_ai_agents/web_scrapping_ai_agent/local_ai_scrapper.py | # Import the required libraries
import streamlit as st
from scrapegraphai.graphs import SmartScraperGraph
# Set up the Streamlit app
st.title("Web Scrapping AI Agent 🕵️♂️")
st.caption("This app allows you to scrape a website using Llama 3.2")
# Set up the configuration for the SmartScraperGraph
graph_config = {
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/web_scrapping_ai_agent/ai_scrapper.py | starter_ai_agents/web_scrapping_ai_agent/ai_scrapper.py | # Import the required libraries
import streamlit as st
from scrapegraphai.graphs import SmartScraperGraph
# Set up the Streamlit app
st.title("Web Scrapping AI Agent 🕵️♂️")
st.caption("This app allows you to scrape a website using OpenAI API")
# Get OpenAI API key from user
openai_access_token = st.text_input("Open... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/xai_finance_agent/xai_finance_agent.py | starter_ai_agents/xai_finance_agent/xai_finance_agent.py | # import necessary python libraries
from agno.agent import Agent
from agno.models.xai import xAI
from agno.tools.yfinance import YFinanceTools
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.os import AgentOS
# create the AI finance agent
agent = Agent(
name="xAI Finance Agent",
model = xAI(id="gro... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/opeani_research_agent/research_agent.py | starter_ai_agents/opeani_research_agent/research_agent.py | import os
import uuid
import asyncio
import streamlit as st
from datetime import datetime
from dotenv import load_dotenv
from agents import (
Agent,
Runner,
WebSearchTool,
function_tool,
handoff,
trace,
)
from pydantic import BaseModel
# Load environment variables
load_dotenv()
# Set up... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_medical_imaging_agent/ai_medical_imaging.py | starter_ai_agents/ai_medical_imaging_agent/ai_medical_imaging.py | import os
from PIL import Image as PILImage
from agno.agent import Agent
from agno.models.google import Gemini
from agno.run.agent import RunOutput
import streamlit as st
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.media import Image as AgnoImage
if "GOOGLE_API_KEY" not in st.session_state:
st.sess... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_life_insurance_advisor_agent/life_insurance_advisor_agent.py | starter_ai_agents/ai_life_insurance_advisor_agent/life_insurance_advisor_agent.py | import json
import os
from datetime import datetime
from typing import Any, Dict, Optional
import streamlit as st
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.e2b import E2BTools
from agno.tools.firecrawl import FirecrawlTools
st.set_page_config(
page_title="Life Insuranc... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_blog_to_podcast_agent/blog_to_podcast_agent.py | starter_ai_agents/ai_blog_to_podcast_agent/blog_to_podcast_agent.py | import os
from uuid import uuid4
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.openai import OpenAIChat
from agno.tools.firecrawl import FirecrawlTools
from elevenlabs import ElevenLabs
import streamlit as st
# Streamlit Setup
st.set_page_config(page_title="📰 ➡️ 🎙️ Blog to Podcas... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_travel_agent/local_travel_agent.py | starter_ai_agents/ai_travel_agent/local_travel_agent.py | from textwrap import dedent
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.tools.serpapi import SerpApiTools
import streamlit as st
import re
from agno.models.ollama import Ollama
from icalendar import Calendar, Event
from datetime import datetime, timedelta
def generate_ics_content(plan_... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_travel_agent/travel_agent.py | starter_ai_agents/ai_travel_agent/travel_agent.py | from textwrap import dedent
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.tools.serpapi import SerpApiTools
import streamlit as st
import re
from agno.models.openai import OpenAIChat
from icalendar import Calendar, Event
from datetime import datetime, timedelta
def generate_ics_content(p... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_startup_trend_analysis_agent/startup_trends_agent.py | starter_ai_agents/ai_startup_trend_analysis_agent/startup_trends_agent.py | import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.tools.duckduckgo import DuckDuckGoTools
from agno.models.google import Gemini
from agno.tools.newspaper4k import Newspaper4kTools
# Setting up Streamlit app
st.title("AI Startup Trend Analysis Agent 📈")
st.caption("Get ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_breakup_recovery_agent/ai_breakup_recovery_agent.py | starter_ai_agents/ai_breakup_recovery_agent/ai_breakup_recovery_agent.py | from agno.agent import Agent
from agno.models.google import Gemini
from agno.media import Image as AgnoImage
from agno.tools.duckduckgo import DuckDuckGoTools
import streamlit as st
from typing import List, Optional
import logging
from pathlib import Path
import tempfile
import os
# Configure logging for errors only
l... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/multimodal_ai_agent/multimodal_reasoning_agent.py | starter_ai_agents/multimodal_ai_agent/multimodal_reasoning_agent.py | import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.media import Image
from agno.models.google import Gemini
import tempfile
import os
def main():
# Streamlit app title
st.title("Multimodal Reasoning AI Agent 🧠")
# Get Gemini API key from user in sidebar
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/multimodal_ai_agent/mutimodal_agent.py | starter_ai_agents/multimodal_ai_agent/mutimodal_agent.py | import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.google import Gemini
from agno.media import Video
import time
from pathlib import Path
import tempfile
st.set_page_config(
page_title="Multimodal AI Agent",
page_icon="🧬",
layout="wide"
)
st.title("M... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_data_analysis_agent/ai_data_analyst.py | starter_ai_agents/ai_data_analysis_agent/ai_data_analyst.py | import tempfile
import csv
import streamlit as st
import pandas as pd
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.duckdb import DuckDbTools
from agno.tools.pandas import PandasTools
# Function to preprocess and save the uploaded file
def preprocess_and_save(file):
try:
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_music_generator_agent/music_generator_agent.py | starter_ai_agents/ai_music_generator_agent/music_generator_agent.py | import os
from uuid import uuid4
import requests
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.openai import OpenAIChat
from agno.tools.models_labs import FileType, ModelsLabTools
from agno.utils.log import logger
import streamlit as st
# Sidebar: User enters the API keys
st.sideba... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_reasoning_agent/local_ai_reasoning_agent.py | starter_ai_agents/ai_reasoning_agent/local_ai_reasoning_agent.py | from agno.agent import Agent
from agno.models.ollama import Ollama
from agno.playground import Playground, serve_playground_app
reasoning_agent = Agent(name="Reasoning Agent", model=Ollama(id="qwq:32b"), markdown=True)
# UI for Reasoning agent
app = Playground(agents=[reasoning_agent]).get_app()
# Run the Playground... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_reasoning_agent/reasoning_agent.py | starter_ai_agents/ai_reasoning_agent/reasoning_agent.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from rich.console import Console
regular_agent = Agent(model=OpenAIChat(id="gpt-4o-mini"), markdown=True)
console = Console()
reasoning_agent = Agent(
model=OpenAIChat(id="gpt-4o"),
reasoning=True,
markdown=True,
structured_outputs=... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_data_visualisation_agent/ai_data_visualisation_agent.py | starter_ai_agents/ai_data_visualisation_agent/ai_data_visualisation_agent.py | import os
import json
import re
import sys
import io
import contextlib
import warnings
from typing import Optional, List, Any, Tuple
from PIL import Image
import streamlit as st
import pandas as pd
import base64
from io import BytesIO
from together import Together
from e2b_code_interpreter import Sandbox
warnings.filt... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/starter_ai_agents/ai_meme_generator_agent_browseruse/ai_meme_generator_agent.py | starter_ai_agents/ai_meme_generator_agent_browseruse/ai_meme_generator_agent.py | import asyncio
import streamlit as st
from browser_use import Agent, SystemPrompt
from langchain_openai import ChatOpenAI
from langchain_anthropic import ChatAnthropic
from langchain_core.messages import HumanMessage
import re
async def generate_meme(query: str, model_choice: str, api_key: str) -> None:
# Initiali... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/test_session_state.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/test_session_state.py | #!/usr/bin/env python3
"""
Test script to verify the session state improvements work correctly
"""
# Simulate the key functions from the updated app
import tempfile
from typing import Tuple
# Mock streamlit session state for testing
class MockSessionState:
def __init__(self):
self.app = None
self.... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/chat_youtube.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_youtube_videos/chat_youtube.py | import tempfile
import streamlit as st
from embedchain import App
from youtube_transcript_api import YouTubeTranscriptApi
from typing import Tuple
def embedchain_bot(db_path: str, api_key: str) -> App:
return App.from_config(
config={
"llm": {"provider": "openai", "config": {"model": "gpt-4", "... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/chat_arxiv_llama3.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/chat_arxiv_llama3.py | # Import the required libraries
import streamlit as st
from agno.agent import Agent
from agno.models.ollama import Ollama
from agno.tools.arxiv import ArxivTools
# Set up the Streamlit app
st.title("Chat with Research Papers 🔎🤖")
st.caption("This app allows you to chat with arXiv research papers using Llama-3 runnin... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/chat_arxiv.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_research_papers/chat_arxiv.py | # Import the required libraries
import streamlit as st
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.arxiv import ArxivTools
# Set up the Streamlit app
st.title("Chat with Research Papers 🔎🤖")
st.caption("This app allows you to chat with arXiv research papers using OpenAI GPT... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_substack/chat_substack.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_substack/chat_substack.py | import streamlit as st
from embedchain import App
import tempfile
# Define the embedchain_bot function
def embedchain_bot(db_path, api_key):
return App.from_config(
config={
"llm": {"provider": "openai", "config": {"model": "gpt-4-turbo", "temperature": 0.5, "api_key": api_key}},
"v... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/chat_pdf_llama3.2.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/chat_pdf_llama3.2.py | # Import necessary libraries
import os
import tempfile
import streamlit as st
from embedchain import App
import base64
from streamlit_chat import message
# Define the embedchain_bot function
def embedchain_bot(db_path):
return App.from_config(
config={
"llm": {"provider": "ollama", "config": {"... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/chat_pdf.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/chat_pdf.py | import os
import tempfile
import streamlit as st
from embedchain import App
def embedchain_bot(db_path, api_key):
return App.from_config(
config={
"llm": {"provider": "openai", "config": {"api_key": api_key}},
"vectordb": {"provider": "chroma", "config": {"dir": db_path}},
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/chat_pdf_llama3.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_pdf/chat_pdf_llama3.py | # Import necessary libraries
import os
import tempfile
import streamlit as st
from embedchain import App
# Define the embedchain_bot function
def embedchain_bot(db_path):
return App.from_config(
config={
"llm": {"provider": "ollama", "config": {"model": "llama3:instruct", "max_tokens": 250, "te... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_github/chat_github.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_github/chat_github.py | # Import the required libraries
from embedchain.pipeline import Pipeline as App
from embedchain.loaders.github import GithubLoader
import streamlit as st
import os
loader = GithubLoader(
config={
"token":"Your GitHub Token",
}
)
# Create Streamlit app
st.title("Chat with GitHub Repository 💬")... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_github/chat_github_llama3.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_github/chat_github_llama3.py | # Import the required libraries
import tempfile
from embedchain import App
from embedchain.loaders.github import GithubLoader
import streamlit as st
import os
GITHUB_TOKEN = os.getenv("Your GitHub Token")
def get_loader():
loader = GithubLoader(
config={
"token": GITHUB_TOKEN
}
)
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/chat_gmail.py | advanced_llm_apps/chat_with_X_tutorials/chat_with_gmail/chat_gmail.py | import tempfile
import streamlit as st
from embedchain import App
# Define the embedchain_bot function
def embedchain_bot(db_path, api_key):
return App.from_config(
config={
"llm": {"provider": "openai", "config": {"model": "gpt-4-turbo", "temperature": 0.5, "api_key": api_key}},
"v... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_finetuning_tutorials/gemma3_finetuning/finetune_gemma3.py | advanced_llm_apps/llm_finetuning_tutorials/gemma3_finetuning/finetune_gemma3.py | import torch
from unsloth import FastModel # Unsloth fast loader + training utils
from unsloth.chat_templates import get_chat_template, standardize_sharegpt
from datasets import load_dataset # Hugging Face datasets
from trl import SFTTrainer # Supervised fine-tuning trainer
from transformers import TrainingArguments... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_finetuning_tutorials/llama3.2_finetuning/finetune_llama3.2.py | advanced_llm_apps/llm_finetuning_tutorials/llama3.2_finetuning/finetune_llama3.2.py | import torch
from unsloth import FastLanguageModel
from datasets import load_dataset
from trl import SFTTrainer
from transformers import TrainingArguments
from unsloth.chat_templates import get_chat_template, standardize_sharegpt
# Load model and tokenizer
model, tokenizer = FastLanguageModel.from_pretrained(
mode... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/gpt_oss_critique_improvement_loop/streamlit_app.py | advanced_llm_apps/gpt_oss_critique_improvement_loop/streamlit_app.py | """Streamlit Critique & Improvement Loop Demo using GPT-OSS via Groq
This implements the "Automatic Critique + Improvement Loop" pattern:
1. Generate initial answer (Pro Mode style)
2. Have a critic model identify flaws/missing pieces
3. Revise the answer addressing all critiques
4. Repeat if needed
Run with:
str... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/multi_llm_memory.py | advanced_llm_apps/llm_apps_with_memory_tutorials/multi_llm_memory/multi_llm_memory.py | import streamlit as st
from mem0 import Memory
from openai import OpenAI
import os
from litellm import completion
st.title("Multi-LLM App with Shared Memory 🧠")
st.caption("LLM App with a personalized memory layer that remembers each user's choices and interests across multiple users and LLMs")
openai_api_key = st.t... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_apps_with_memory_tutorials/llama3_stateful_chat/local_llama3_chat.py | advanced_llm_apps/llm_apps_with_memory_tutorials/llama3_stateful_chat/local_llama3_chat.py | import streamlit as st
from openai import OpenAI
# Set up the Streamlit App
st.title("Local ChatGPT with Memory 🦙")
st.caption("Chat with locally hosted memory-enabled Llama-3 using the LM Studio 💯")
# Point to the local server setup using LM Studio
client = OpenAI(base_url="http://localhost:1234/v1", api_key="lm-s... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory/travel_agent_memory.py | advanced_llm_apps/llm_apps_with_memory_tutorials/ai_travel_agent_memory/travel_agent_memory.py | import streamlit as st
from openai import OpenAI
from mem0 import Memory
# Set up the Streamlit App
st.title("AI Travel Agent with Memory 🧳")
st.caption("Chat with a travel assistant who remembers your preferences and past interactions.")
# Set the OpenAI API key
openai_api_key = st.text_input("Enter OpenAI API Key"... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/ai_arxiv_agent_memory.py | advanced_llm_apps/llm_apps_with_memory_tutorials/ai_arxiv_agent_memory/ai_arxiv_agent_memory.py | import streamlit as st
import os
from mem0 import Memory
from multion.client import MultiOn
from openai import OpenAI
st.title("AI Research Agent with Memory 📚")
api_keys = {k: st.text_input(f"{k.capitalize()} API Key", type="password") for k in ['openai', 'multion']}
if all(api_keys.values()):
os.environ['OPEN... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/local_chatgpt_memory.py | advanced_llm_apps/llm_apps_with_memory_tutorials/local_chatgpt_with_memory/local_chatgpt_memory.py | import streamlit as st
from mem0 import Memory
from litellm import completion
# Configuration for Memory
config = {
"vector_store": {
"provider": "qdrant",
"config": {
"collection_name": "local-chatgpt-memory",
"host": "localhost",
"port": 6333,
"embe... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory/llm_app_memory.py | advanced_llm_apps/llm_apps_with_memory_tutorials/llm_app_personalized_memory/llm_app_memory.py | import os
import streamlit as st
from mem0 import Memory
from openai import OpenAI
st.title("LLM App with Memory 🧠")
st.caption("LLM App with personalized memory layer that remembers ever user's choice and interests")
openai_api_key = st.text_input("Enter OpenAI API Key", type="password")
os.environ["OPENAI_API_KEY"... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_optimization_tools/toonify_token_optimization/quick_test.py | advanced_llm_apps/llm_optimization_tools/toonify_token_optimization/quick_test.py | """
Quick test to verify Toonify installation and basic functionality
Run this to quickly see the token savings in action!
"""
import json
from toon import encode, decode
def quick_test():
"""Quick demonstration of Toonify savings."""
print("🎯 TOONIFY QUICK TEST")
print("=" * 60)
# Sample ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_optimization_tools/toonify_token_optimization/toonify_app.py | advanced_llm_apps/llm_optimization_tools/toonify_token_optimization/toonify_app.py | """
Toonify Interactive Streamlit App
Visualize token savings and test TOON format with your own data
"""
import streamlit as st
import json
from toon import encode, decode
import tiktoken
import pandas as pd
def count_tokens(text: str, model: str = "gpt-4") -> int:
"""Count tokens in text."""
encoding = tik... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/llm_optimization_tools/toonify_token_optimization/toonify_demo.py | advanced_llm_apps/llm_optimization_tools/toonify_token_optimization/toonify_demo.py | """
Toonify Token Optimization Demo
Demonstrates how to reduce LLM API costs by 30-60% using TOON format
"""
import json
from toon import encode, decode
import tiktoken
from openai import OpenAI
from anthropic import Anthropic
import os
def count_tokens(text: str, model: str = "gpt-4") -> int:
"""Count the numbe... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/resume_job_matcher/app.py | advanced_llm_apps/resume_job_matcher/app.py | import streamlit as st
import requests
import fitz # PyMuPDF for PDF parsing
st.set_page_config(page_title="📄 Resume & Job Matcher", layout="centered")
st.title("📄 Resume & Job Matcher")
st.sidebar.info("""
This app uses a local LLM via **Ollama**.
1. Install Ollama: https://ollama.ai
2. Run a model (e.g., `ollam... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat-with-tarots/app.py | advanced_llm_apps/chat-with-tarots/app.py | from langchain.prompts import PromptTemplate
import pandas as pd
from langchain_core.runnables import RunnableParallel, RunnableLambda # Import necessary for LCEL
import random
import streamlit as st
import helpers.help_func as hf
from PIL import Image
# --- Load the dataset ---
csv_file_path = 'data/tarots.csv'
try... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/chat-with-tarots/helpers/help_func.py | advanced_llm_apps/chat-with-tarots/helpers/help_func.py | import random
from langchain_ollama import ChatOllama
# --- Function to generate a random draw of cards ---
def generate_random_draw(num_cards, card_names_dataset):
"""
Generates a list of dictionaries representing a random draw of cards.
Args:
num_cards (int): The number of cards to include in t... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/cursor_ai_experiments/ai_web_scrapper.py | advanced_llm_apps/cursor_ai_experiments/ai_web_scrapper.py | import streamlit as st
from scrapegraphai.graphs import SmartScraperGraph
# Streamlit app title
st.title("AI Web Scraper")
# Input fields for user prompt and source URL
prompt = st.text_input("Enter the information you want to extract:")
source_url = st.text_input("Enter the source URL:")
# Input field for OpenAI AP... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/cursor_ai_experiments/multi_agent_researcher.py | advanced_llm_apps/cursor_ai_experiments/multi_agent_researcher.py | import streamlit as st
from crewai import Agent, Task, Crew, Process
from langchain_openai import ChatOpenAI
import os
# Initialize the GPT-4 model
gpt4_model = None
def create_article_crew(topic):
"""Creates a team of agents to research, write, and edit an article on a given topic.
This function sets up a c... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/cursor_ai_experiments/chatgpt_clone_llama3.py | advanced_llm_apps/cursor_ai_experiments/chatgpt_clone_llama3.py | import streamlit as st
from ollama import Client
# Initialize Ollama client
client = Client()
# Set up Streamlit page
st.set_page_config(page_title="Local ChatGPT Clone", page_icon="🤖", layout="wide")
st.title("🤖 Local ChatGPT Clone")
# Initialize chat history
if "messages" not in st.session_state:
st.session_... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/cursor_ai_experiments/llm_router_app/llm_router.py | advanced_llm_apps/cursor_ai_experiments/llm_router_app/llm_router.py | import os
os.environ["OPENAI_API_KEY"] = "your_openai_api_key"
os.environ['TOGETHERAI_API_KEY'] = "your_togetherai_api_key"
import streamlit as st
from routellm.controller import Controller
# Initialize RouteLLM client
client = Controller(
routers=["mf"],
strong_model="gpt-4o-mini",
weak_model="together_... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_llm_apps/cursor_ai_experiments/local_chatgpt_clone/chatgpt_clone_llama3.py | advanced_llm_apps/cursor_ai_experiments/local_chatgpt_clone/chatgpt_clone_llama3.py | import streamlit as st
from openai import OpenAI
# Set up the Streamlit App
st.title("ChatGPT Clone using Llama-3 🦙")
st.caption("Chat with locally hosted Llama-3 using the LM Studio 💯")
# Point to the local server setup using LM Studio
client = OpenAI(base_url="http://localhost:1234/v1", api_key="lm-studio")
# In... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/product_launch_intelligence_agent.py | advanced_ai_agents/multi_agent_apps/product_launch_intelligence_agent/product_launch_intelligence_agent.py | import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.team import Team
from agno.models.openai import OpenAIChat
from agno.tools.firecrawl import FirecrawlTools
from dotenv import load_dotenv
from textwrap import dedent
import os
# ---------------- Page Config -------------... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent/tools.py | advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent/tools.py | import os
import logging
from google import genai
from google.genai import types
from google.adk.tools import ToolContext
from pydantic import BaseModel, Field
from dotenv import load_dotenv
load_dotenv()
# Configure logging
logger = logging.getLogger(__name__)
# =====================================================... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent/__init__.py | advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent/__init__.py | """AI Home Renovation Planner - Multi-Agent Pattern Demo with Multimodal Vision"""
from .agent import root_agent
__all__ = ["root_agent"] | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent/agent.py | advanced_ai_agents/multi_agent_apps/ai_home_renovation_agent/agent.py | """AI Home Renovation Planner - Coordinator/Dispatcher Pattern with Multimodal Vision
This demonstrates ADK's Coordinator/Dispatcher Pattern with Gemini 3 Flash's multimodal
capabilities where a routing agent analyzes requests and delegates to specialists:
- General questions → Quick info agent
- Renovation planning ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_domain_deep_research_agent/ai_domain_deep_research_agent.py | advanced_ai_agents/multi_agent_apps/ai_domain_deep_research_agent/ai_domain_deep_research_agent.py | import os
import asyncio
import streamlit as st
from dotenv import load_dotenv
from agno.agent import Agent
from agno.run.agent import RunOutput
from composio_agno import ComposioToolSet, Action
from agno.models.together import Together
# Load environment variables
load_dotenv()
# Set page config
st.set_page_config(
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_aqi_analysis_agent/ai_aqi_analysis_agent_gradio.py | advanced_ai_agents/multi_agent_apps/ai_aqi_analysis_agent/ai_aqi_analysis_agent_gradio.py | from typing import Dict, Optional
from dataclasses import dataclass
from pydantic import BaseModel, Field
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.openai import OpenAIChat
from firecrawl import FirecrawlApp
import gradio as gr
import json
class AQIResponse(BaseModel):
succ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_aqi_analysis_agent/ai_aqi_analysis_agent_streamlit.py | advanced_ai_agents/multi_agent_apps/ai_aqi_analysis_agent/ai_aqi_analysis_agent_streamlit.py | from typing import Dict, Optional
from dataclasses import dataclass
from pydantic import BaseModel, Field
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.models.openai import OpenAIChat
from firecrawl import FirecrawlApp
import streamlit as st
class AQIResponse(BaseModel):
success: bool... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_email_gtm_outreach_agent/ai_email_gtm_outreach_agent.py | advanced_ai_agents/multi_agent_apps/ai_email_gtm_outreach_agent/ai_email_gtm_outreach_agent.py | import json
import os
import sys
from typing import Any, Dict, List, Optional
import streamlit as st
from agno.agent import Agent
from agno.run.agent import RunOutput
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.tools.exa import ExaTools
def require_env(var_name: str) -> No... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/ai_mental_wellbeing_agent.py | advanced_ai_agents/multi_agent_apps/ai_mental_wellbeing_agent/ai_mental_wellbeing_agent.py | import streamlit as st
from autogen import (SwarmAgent, SwarmResult, initiate_swarm_chat, OpenAIWrapper,AFTER_WORK,UPDATE_SYSTEM_MESSAGE)
import os
os.environ["AUTOGEN_USE_DOCKER"] = "0"
if 'output' not in st.session_state:
st.session_state.output = {
'assessment': '',
'action': '',
'follo... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/ai_financial_coach_agent.py | advanced_ai_agents/multi_agent_apps/ai_financial_coach_agent/ai_financial_coach_agent.py | import streamlit as st
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from typing import Dict, List, Optional, Any
import os
import asyncio
from datetime import datetime
from dotenv import load_dotenv
import json
import logging
from pydantic import BaseModel, Field
import csv
from io ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | true |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/main.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/main.py | from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from agents.coordinator_agent import coordinator_agent
from agno.agent import RunResponse
from dotenv import load_dotenv
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/feedback_agent.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/feedback_agent.py | from agno.agent import Agent
from agno.models.together import Together
from dotenv import load_dotenv
import os
load_dotenv()
# Define the content analysis agent
feedback_agent = Agent(
name="feedback-agent",
model=Together(
id="meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",
api_key=os.getenv(... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/coordinator_agent.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/coordinator_agent.py | from agno.team.team import Team
from agno.agent import Agent, RunResponse
from agno.models.together import Together
from agents.facial_expression_agent import facial_expression_agent
from agents.voice_analysis_agent import voice_analysis_agent
from agents.content_analysis_agent import content_analysis_agent
from agents... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/voice_analysis_agent.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/voice_analysis_agent.py | from agno.agent import Agent, RunResponse
from agno.agent import Agent
from agno.models.together import Together
from agents.tools.voice_analysis_tool import analyze_voice_attributes as voice_analysis_tool
from agno.utils.pprint import pprint_run_response
from dotenv import load_dotenv
import os
load_dotenv()
# Defin... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/content_analysis_agent.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/content_analysis_agent.py | from agno.agent import Agent
from agno.models.together import Together
from dotenv import load_dotenv
import os
load_dotenv()
# Define the content analysis agent
content_analysis_agent = Agent(
name="content-analysis-agent",
model=Together(
id="meta-llama/Llama-3.3-70B-Instruct-Turbo-Free",
ap... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/facial_expression_agent.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/facial_expression_agent.py | from agno.agent import Agent, RunResponse
from agno.models.together import Together
from agents.tools.facial_expression_tool import analyze_facial_expressions as facial_expression_tool
from agno.utils.pprint import pprint_run_response
from dotenv import load_dotenv
import os
load_dotenv()
# Define the facial expressi... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/tools/facial_expression_tool.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/tools/facial_expression_tool.py | import cv2
import numpy as np
import mediapipe as mp
from deepface import DeepFace
from agno.tools import tool
import json
def log_before_call(fc):
"""Pre-hook function that runs before the tool execution"""
print(f"About to call function with arguments: {fc.arguments}")
def log_after_call(fc):
"""Post-ho... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/tools/voice_analysis_tool.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/backend/agents/tools/voice_analysis_tool.py | import os
import json
import tempfile
import numpy as np
import librosa
from moviepy import VideoFileClip
from faster_whisper import WhisperModel
from agno.tools import tool
from dotenv import load_dotenv
load_dotenv()
def extract_audio_from_video(video_path: str, output_audio_path: str) -> str:
"""
Extracts ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/frontend/sidebar.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/frontend/sidebar.py | # Sidebar with About section
import streamlit as st
def render_sidebar():
st.sidebar.header("About")
st.sidebar.info(
"""
**AI Speech Trainer** helps users improve their public speaking skills through:\
📽️ Video Analysis\
🗣️ Voice Analysis\
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/frontend/Home.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/frontend/Home.py | import streamlit as st
import requests
import tempfile
import os
import json
import numpy as np
from page_congif import render_page_config
render_page_config()
# Initialize session state variables
if "begin" not in st.session_state:
st.session_state.begin = False
if "video_path" not in st.session_state:
st.s... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/frontend/page_congif.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/frontend/page_congif.py | import streamlit as st
from sidebar import render_sidebar
def render_page_config():
# Set page configuration
st.set_page_config(
page_icon="🎙️",
page_title="AI Speech Trainer",
initial_sidebar_state="auto",
layout="wide")
# Load external CSS
with open("style.css") as... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/frontend/pages/1 - Feedback.py | advanced_ai_agents/multi_agent_apps/ai_speech_trainer_agent/frontend/pages/1 - Feedback.py | import streamlit as st
import plotly.graph_objects as go
import json
from page_congif import render_page_config
render_page_config()
# Get feedback response from session state
if st.session_state.feedback_response:
feedback_response = json.loads(st.session_state.feedback_response)
feedback_scores = feedback_r... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_Self-Evolving_agent/ai_Self-Evolving_agent.py | advanced_ai_agents/multi_agent_apps/ai_Self-Evolving_agent/ai_Self-Evolving_agent.py | import os
from dotenv import load_dotenv
from evoagentx.models import OpenAILLMConfig, OpenAILLM, LiteLLMConfig, LiteLLM
from evoagentx.workflow import WorkFlowGenerator, WorkFlowGraph, WorkFlow
from evoagentx.agents import AgentManager
from evoagentx.actions.code_extraction import CodeExtraction
from evoagentx.actio... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/bootstrap_demo.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/bootstrap_demo.py | import os
import sys
import tempfile
import requests
import zipfile
from tqdm import tqdm
DEMO_URL = "https://github.com/arun477/beifong/releases/download/v1.2.0/demo_content.zip"
TARGET_DIRS = ["databases", "podcasts"]
def ensure_empty(dir_path):
"""check if directory is empty (or create it). exit if not empty.... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/celery_worker.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/celery_worker.py | from services.celery_tasks import app
worker_options = [
"worker",
"--loglevel=INFO",
"--concurrency=4",
"--hostname=beifong_worker@%h",
"--pool=threads",
]
if __name__ == "__main__":
print("Starting Beifong podcast agent workers...")
app.worker_main(worker_options) | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/main.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/main.py | from fastapi import FastAPI, Request, Response
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse, StreamingResponse
import uvicorn
import os
import aiofiles
from contextlib import asynccontextmanager
from routers import article_rout... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/pack_demo.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/pack_demo.py | import os
import zipfile
SOURCE_DIRS = ["databases", "podcasts"]
OUTPUT_ZIP = "demo_content.zip"
def create_zip(source_dirs, output_zip):
print("packing.....")
"""zip up each source directory into a single archive."""
with zipfile.ZipFile(output_zip, "w", zipfile.ZIP_DEFLATED) as z:
for src in so... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/__init__.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/__init__.py | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false | |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/scheduler.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/scheduler.py | import os
import time
import signal
import subprocess
from datetime import datetime
import traceback
from concurrent.futures import ThreadPoolExecutor
from apscheduler.schedulers.background import BackgroundScheduler
from apscheduler.triggers.interval import IntervalTrigger
from apscheduler.jobstores.sqlalchemy import ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/db_init.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/db_init.py | import os
import sqlite3
import asyncio
import time
from contextlib import contextmanager
from concurrent.futures import ThreadPoolExecutor
from services.db_service import get_db_path
@contextmanager
def db_connection(db_path):
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
conn.execute("P... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/source_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/source_service.py | from typing import List, Optional, Dict, Any
from fastapi import HTTPException
from datetime import datetime
from services.db_service import sources_db, tracking_db
from models.source_schemas import SourceCreate, SourceUpdate, SourceFeedCreate, PaginatedSources
class SourceService:
"""Service for managing source ... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/article_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/article_service.py | from typing import List, Optional, Dict, Any
from fastapi import HTTPException
import json
from services.db_service import tracking_db, sources_db
from models.article_schemas import Article, PaginatedArticles
class ArticleService:
"""Service for managing article operations with the new database structure."""
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/async_podcast_agent_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/async_podcast_agent_service.py | import os
import json
import uuid
from fastapi import status
from fastapi.responses import JSONResponse
import aiosqlite
import glob
from redis.asyncio import ConnectionPool, Redis
from db.config import get_agent_session_db_path
from db.agent_config_v2 import PODCAST_DIR, PODCAST_AUIDO_DIR, PODCAST_IMG_DIR, PODCAST_REC... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/celery_app.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/celery_app.py | from celery import Celery, Task
import redis
import os
import time
import json
from dotenv import load_dotenv
load_dotenv()
REDIS_HOST = os.environ.get("REDIS_HOST", "localhost")
REDIS_PORT = int(os.environ.get("REDIS_PORT", 6379))
REDIS_DB = int(os.environ.get("REDIS_DB", 0))
REDIS_LOCK_EXP_TIME_SEC = 60 * 10
REDIS... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/celery_tasks.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/celery_tasks.py | from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.storage.sqlite import SqliteStorage
import os
from dotenv import load_dotenv
from services.celery_app import app, SessionLockedTask
from db.config import get_agent_session_db_path
from db.agent_config_v2 import (
AGENT_DESCRIPTION,
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/social_media_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/social_media_service.py | import json
from typing import List, Optional, Dict, Any
from fastapi import HTTPException
from services.db_service import social_media_db
from models.social_media_schemas import PaginatedPosts, Post
from datetime import datetime, timedelta
class SocialMediaService:
"""Service for managing social media posts."""
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/task_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/task_service.py | from typing import List, Optional, Dict, Any
from datetime import datetime, timedelta
from fastapi import HTTPException
from services.db_service import tasks_db
from models.tasks_schemas import TASK_TYPES
class TaskService:
"""Service for managing scheduled tasks."""
async def get_tasks(self, include_disable... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/__init__.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/__init__.py | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false | |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/internal_session_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/internal_session_service.py | from typing import Optional, Dict, Any
from fastapi import HTTPException
import json
from datetime import datetime
from db.config import get_db_path
from db.agent_config_v2 import INITIAL_SESSION_STATE
import sqlite3
from contextlib import contextmanager
@contextmanager
def get_db_connection(db_name: str):
"""Get... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/db_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/db_service.py | import os
from typing import Dict, List, Any, Tuple, Union
from fastapi import HTTPException
from contextlib import contextmanager
import sqlite3
from db.config import get_db_path
@contextmanager
def db_connection(db_path: str):
"""Context manager for database connections."""
if not os.path.exists(db_path):
... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/podcast_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/podcast_service.py | import os
import json
from typing import List, Dict, Optional, Any
from datetime import datetime
from fastapi import HTTPException, UploadFile
from services.db_service import podcasts_db
import math
AUDIO_DIR = "podcasts/audio"
IMAGE_DIR = "podcasts/images"
class PodcastService:
"""Service for managing podcast o... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/podcast_config_service.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/services/podcast_config_service.py | from typing import List, Optional, Dict, Any
from datetime import datetime
from fastapi import HTTPException
from services.db_service import tasks_db
class PodcastConfigService:
"""Service for managing podcast configurations."""
async def get_all_configs(self, active_only: bool = False) -> List[Dict[str, Any... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/tools/browser_crawler.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/tools/browser_crawler.py | from playwright.sync_api import sync_playwright
import newspaper
import time
from typing import Dict, List
from datetime import datetime
class PlaywrightScraper:
def __init__(
self,
headless: bool = True,
timeout: int = 20000,
fresh_context_per_url: bool = False,
):
sel... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/tools/jikan_search.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/tools/jikan_search.py | from agno.agent import Agent
import requests
import time
from typing import List, Dict, Any, Optional
import html
import json
def jikan_search(agent: Agent, query: str) -> str:
"""
Search for anime information using the Jikan API (MyAnimeList API).
This provides anime data, reviews, and recommendations to... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
Shubhamsaboo/awesome-llm-apps | https://github.com/Shubhamsaboo/awesome-llm-apps/blob/44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335/advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/tools/web_search.py | advanced_ai_agents/multi_agent_apps/ai_news_and_podcast_agents/beifong/tools/web_search.py | import os
import asyncio
from typing import List
from pydantic import BaseModel, Field
from browser_use import Agent as BrowserAgent, Controller, BrowserSession, BrowserProfile
from langchain_openai import ChatOpenAI
from dotenv import load_dotenv
from agno.agent import Agent
import json
load_dotenv()
BROWSER_AGENT... | python | Apache-2.0 | 44efabeac69a8bd1f7cfbf8fddd8fde5ce32b335 | 2026-01-04T14:38:15.481187Z | false |
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