app.py

import gradio as gr
import requests
from PIL import Image
from io import BytesIO

# Roboflow config
API_URL = "https://detect.roboflow.com"
API_KEY = "dxkgGGHSZ3DI8XzVn29U"
WORKSPACE = "naveen-kumar-hnmil"
WORKFLOW =  "detect-count-and-visualize-10" 

def detect_image_with_log(image):
    try:
        print("🔄 Converting image to JPEG bytes")
        buffered = BytesIO()
        image.save(buffered, format="JPEG")
        image_bytes = buffered.getvalue()

        endpoint = f"{API_URL}/{WORKSPACE}/{WORKFLOW}?api_key={API_KEY}"
        print(f"📡 Sending POST request to: {endpoint}")

        response = requests.post(
            endpoint,
            files={"file": image_bytes},
            data={"confidence": "0.4", "overlap": "0.3"}
        )

        print(f"📥 Roboflow response: {response.status_code}")
        if response.status_code != 200:
            return None, f"❌ API error: {response.status_code}\n{response.text}"

        result_json = response.json()
        print(f"📊 Parsed response JSON: {result_json}")

        annotated_url = result_json.get("image", {}).get("url")
        if not annotated_url:
            return None, f"❌ No 'image.url' found in response.\nFull Response: {result_json}"

        print(f"🌐 Fetching annotated image from: {annotated_url}")
        image_response = requests.get(annotated_url)
        if image_response.status_code != 200:
            return None, f"❌ Failed to load annotated image.\nURL: {annotated_url}"

        result_image = Image.open(BytesIO(image_response.content))
        return result_image, "✅ Detection successful."

    except Exception as e:
        return None, f"❌ Exception: {str(e)}"

# Gradio app
interface = gr.Interface(
    fn=detect_image_with_log,
    inputs=gr.Image(type="pil", label="Upload a Solar Panel Image"),
    outputs=[
        gr.Image(label="Annotated Output"),
        gr.Textbox(label="Detection Log")
    ],
    title="Solar Panel Fault Detection",
    description="Upload an image to detect cracks, dents, and faults using a Roboflow-trained YOLOv8 model.",
    allow_flagging="never"
)

if __name__ == "__main__":
    interface.launch()