Update app.py

app.py

@@ -6,10 +6,6 @@ import cv2
 from PIL import Image
 import spaces
 
-from fastapi import FastAPI, UploadFile, Form
-from fastapi.responses import StreamingResponse
-import io
-
 
 # 🌟 Auto-detect device (CPU/GPU)
 device = "cuda"
@@ -133,30 +129,6 @@ with gr.Blocks() as demo:
         inputs=[prompt, strength, guidance],
         outputs=[edge_output, result_output]
     )
-
-# Define your own FastAPI app for external access
-external_api = FastAPI()
-
-# Add your custom POST route (for Rhino/Grasshopper)
-@external_api.post("/run_external")
-async def run_external(prompt: str = Form(...), image: UploadFile = Form(...)):
-    contents = await image.read()
-    img = Image.open(io.BytesIO(contents)).convert("RGB")
-    # Use your generate_image function (you already have it)
-    _, result = generate_image(prompt, img, 100, 150, 0.7, 7.5, 0.5)
-
-    # Return image as PNG stream
-    buf = io.BytesIO()
-    result.save(buf, format="PNG")
-    buf.seek(0)
-    return StreamingResponse(buf, media_type="image/png")
-
-# 🔁 Mount Gradio under the FastAPI app
-external_api.mount("/", demo)  # Gradio stays at root (/) in the browser
-
-# This is the app Hugging Face expects
-app = external_api
-
     
 # 🚀 Launch the app
-#demo.launch()
+demo.launch()