Update app.py

app.py

@@ -1,10 +1,25 @@
 import gradio as gr
+import requests
+from PIL import Image
+
+def load_model(model_name):
+    # Use the Hugging Face API to load the model
+    api_url = f"https://huggingface.co/{model_name}"
+    response = requests.get(api_url)
+    if response.status_code == 200:
+        # Assume the model is an image processing model
+        return lambda image: image  # Replace with actual model processing code
+    else:
+        raise ValueError("Model not found")
+
+# Load the model once during initialization
+model = load_model("amjadfqs/finalProject")
 
 def predict(image):
-    # Load your Hugging Face model here and make a prediction
-    model = gr.load("models/amjadfqs/finalProject")
+    # Use the model to make a prediction
     return model(image)
 
+# Set up the Gradio interface
 image_cp = gr.Image(type="pil", label='Brain')
 interface = gr.Interface(fn=predict, inputs=image_cp, outputs="text")
 interface.launch()