Create app.py

app.py

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+import gradio as gr
+import requests
+import os
+from PIL import Image
+from io import BytesIO
+
+# Roboflow API config
+API_URL = "https://detect.roboflow.com"
+API_KEY = "dxkgGGHSZ3DI8XzVn29U"
+WORKSPACE = "naveen-kumar-hnmil"
+WORKFLOW = "detect-count-and-visualize-5"
+
+def detect_image(image):
+    # Convert PIL to bytes
+    buffered = BytesIO()
+    image.save(buffered, format="JPEG")
+    image_bytes = buffered.getvalue()
+
+    # Build full API endpoint
+    endpoint = f"{API_URL}/{WORKSPACE}/{WORKFLOW}?api_key={API_KEY}"
+
+    # Make the POST request to Roboflow
+    response = requests.post(endpoint, files={"file": image_bytes}, data={"confidence": "0.5", "overlap": "0.4"})
+
+    if response.status_code != 200:
+        return f"Error from Roboflow: {response.text}"
+
+    # Roboflow returns image as bytes
+    result = requests.get(response.json()["image"]["url"])
+    result_img = Image.open(BytesIO(result.content))
+
+    return result_img
+
+# Gradio UI
+gr.Interface(
+    fn=detect_image,
+    inputs=gr.Image(type="pil", label="Upload a Solar Panel Image"),
+    outputs=gr.Image(type="pil", label="Annotated Output"),
+    title="Solar Panel Fault Detection",
+    description="Upload an image to detect cracks, dents, and faulty parts using a Roboflow-trained YOLOv8 model.",
+    allow_flagging="never"
+).launch()