app.py

# app.py for Hugging Face Space frontend
import requests
from PIL import Image
from io import BytesIO
import streamlit as st  # HF Spaces supports Streamlit out of the box

# -----------------------------
# Config: Use your cloudflare URL
# -----------------------------
API_URL = "https://greensboro-scholar-under-voted.trycloudflare.com/predict"

st.title("Solar PV EL Image Segmentation")

uploaded_file = st.file_uploader("Upload an EL image", type=["png", "jpg", "jpeg"])

if uploaded_file is not None:
    st.image(uploaded_file, caption="Input EL Image", use_column_width=True)

    # Prepare image for POST
    files = {"file": (uploaded_file.name, uploaded_file, "image/png")}
    with st.spinner("Running segmentation..."):
        response = requests.post(API_URL, files=files)

    if response.status_code == 200:
        # Read image from response
        segmented_img = Image.open(BytesIO(response.content))
        st.image(segmented_img, caption="Segmented Output", use_column_width=True)
    else:
        st.error(f"Segmentation failed! Status code: {response.status_code}")