src/streamlit_app.py

import streamlit as st
import requests
import pandas as pd
from PIL import Image
import io

st.title("🌳 Tree Disease Diagnosis System")

uploaded_file = st.file_uploader("Upload an image of a tree leaf", type=["jpg", "jpeg", "png"])

if uploaded_file:
    image = Image.open(uploaded_file)
    st.image(image, caption="Uploaded Image", use_column_width=True)

    with st.spinner("Diagnosing..."):
        response = requests.post(
            "http://localhost:8000/predict",
            files={"file": uploaded_file.getvalue()}
        )
        result = response.json()

    st.success(f"Prediction: **{result['prediction']}**")
    st.write(f"Confidence: {result['confidence']:.2%}")
    st.write(f"Suggested Treatment: {result['treatment']}")
    st.write(f"Fertilizer Advice: {result['fertilizer']}")
    st.write(f"AI Explanation: {result['explanation']}")

    if result["alert"]:
        st.error("⚠️ High-Risk Disease Detected!")