| import streamlit as st |
| import requests as req |
| from streamlit_lottie import st_lottie |
| from prediction_helper import predict_class_way1, predict_class_way2 |
|
|
| st.set_page_config(page_title="Welcome to Iris Classifier",page_icon=":blossom:") |
|
|
| with st.container(): |
| st.title("Welcome to Iris Classifier :blossom:") |
| st.subheader("Author: Ahmad Baseer") |
| st.write("You can find the code [here](https://github.com/Ahmad-Baseer/AI-Projects)") |
|
|
| st.write("---") |
|
|
| def load_lottieurl(url): |
| r=req.get(url) |
| if r.status_code !=200: |
| None |
| return r.json() |
|
|
| lottie_flower=load_lottieurl("https://lottie.host/db599348-de9d-44a3-9e66-6490a4920520/jiH4zhQwAD.json") |
|
|
| left_col, right_col = st.columns(2) |
|
|
| with left_col: |
| |
| sepal_length = st.number_input("Sepal length (cm)", min_value=0.0, max_value=100.0) |
| sepal_width = st.number_input("Sepal width (cm)", min_value=0.0, max_value=100.0) |
| petal_length = st.number_input("Petal length (cm)", min_value=0.0, max_value=100.0) |
| petal_width = st.number_input("Petal width (cm)", min_value=0.0, max_value=100.0) |
|
|
| datapoint = [sepal_length,sepal_width,petal_length,petal_width] |
|
|
| |
| st.write("Sepal length:", sepal_length) |
| st.write("Sepal width:", sepal_width) |
| st.write("Petal length:", petal_length) |
| st.write("Petal width:", petal_width) |
| st.write(" **This model got accuracy of:** ", 0.8933) |
|
|
| if(sepal_length!=0 and sepal_width!=0 and petal_length!=0 and petal_width!=0): |
| st.write("---") |
| result_1=predict_class_way1(datapoint) |
| result_2=predict_class_way2(datapoint) |
|
|
| st.write(f" I guess 🤔 it belongs to (using method 1): **{result_1.capitalize()}** ") |
| st.write(f" I guess 🤔 it belongs to (using method 2): **{result_2.capitalize()}** ") |
|
|
| if result_1==result_2: |
| st.write(" **Hurray :partying_face: we got same results from both techniques!**") |
|
|
| with right_col: |
| st_lottie(lottie_flower,height=250,key="flower") |
|
|
| st.caption("Made with :heart: by Ahmad") |
|
|
| |
| def local_css_for_contact_form(file_name): |
| with open(file_name) as f: |
| st.markdown(f"<style>{f.read()}</style>",unsafe_allow_html=True) |
| |
| local_css_for_contact_form("style.css") |