changed to async, hardcoded scroll logo, added negative prompts.

app.py

@@ -1,5 +1,6 @@
 import os
 import io
+import asyncio
 import socket
 import requests
 import sys
@@ -113,7 +114,7 @@ def convert_to_base64(pil_image):
 def inference(
     control_image: Image.Image,
     prompt: str,
-    negative_prompt: str,
+    negative_prompt = "sexual content, racism, humans, faces",
     guidance_scale: float = 8.0,
     controlnet_conditioning_scale: float = 1,
     control_guidance_start: float = 1,    
@@ -196,7 +197,8 @@ def generate_image_from_parameters(prompt, guidance_scale, controlnet_scale, con
             temp_image.write(image.file.read())
 
         # Open the uploaded image using PIL
-        control_image = Image.open(temp_image_path)
+        control_image_path = "scrollwhite.png"
+        control_image = Image.open(control_image_path)
 
         # Call existing inference function with the provided parameters
         generated_image, _, _, _ = inference(control_image, prompt, "", guidance_scale, controlnet_scale, 0, controlnet_end, upscaler_strength, seed, sampler_type)
@@ -260,9 +262,7 @@ async def generate_image(
         logger.error("Error occurred during image generation: %s", str(e))
         return "Failed to generate image"
 
-if __name__ == "__main__":
-    import uvicorn
-
+async def start_fastapi():
     # Get internal IP address
     internal_ip = socket.gethostbyname(socket.gethostname())
 
@@ -275,4 +275,11 @@ if __name__ == "__main__":
     print(f"Internal URL: http://{internal_ip}:7860")
     print(f"Public URL: http://{public_ip}:7860")
 
-    uvicorn.run(app, host="0.0.0.0", port=7860, reload=True)
+    # Run FastAPI using hypercorn
+    config = uvicorn.Config(app="app:app", host="0.0.0.0", port=7860, reload=True)
+    server = uvicorn.Server(config)
+    await server.serve()
+
+# Call the asynchronous function using asyncio.run()
+if __name__ == "__main__":
+    asyncio.run(start_fastapi())