Create app.py

app.py

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+# 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}")