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# app.py
import gradio as gr
from openai import OpenAI
import os
from dotenv import load_dotenv
# Load API key (from .env or Colab environment)
load_dotenv()
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))
SYSTEM_PROMPT = (
"You are a kind and professional healthcare assistant. "
"Provide general medical information, healthy lifestyle advice, "
"and explanations for symptoms. "
"Do NOT give strict diagnoses or prescribe medications. "
"Always remind users to consult a doctor for confirmation."
)
def chat_with_bot(history, user_message):
"""Chatbot logic for Gradio"""
messages = [{"role": "system", "content": SYSTEM_PROMPT}]
for h in history:
messages.append({"role": "user", "content": h[0]})
messages.append({"role": "assistant", "content": h[1]})
messages.append({"role": "user", "content": user_message})
try:
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=messages
)
reply = response.choices[0].message.content
except Exception as e:
reply = f"⚠️ Error: {str(e)}"
history.append((user_message, reply))
return history, ""
# Gradio Chat Interface
chatbot = gr.Chatbot(
label="🩺 Healthcare Assistant",
avatar_images=["https://cdn-icons-png.flaticon.com/512/3774/3774299.png", None]
)
demo = gr.Blocks()
with demo:
gr.Markdown("# 🩺 AI Healthcare Chatbot")
gr.Markdown("💬 I'm here to provide **general health information** — not a replacement for a doctor.")
state = gr.State([])
with gr.Row():
chatbot.render()
with gr.Row():
msg = gr.Textbox(placeholder="Describe your symptoms or ask a health question...", show_label=False)
send = gr.Button("Send", variant="primary")
send.click(chat_with_bot, [state, msg], [state, msg])
msg.submit(chat_with_bot, [state, msg], [state, msg])
gr.Markdown("⚠️ **Disclaimer:** This chatbot provides general information and is **not** a substitute for professional medical advice.")
# Run
if __name__ == "__main__":
demo.launch()
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