Update app.py

app.py

@@ -39,7 +39,7 @@ transform = transforms.Compose([
 
 # Function to predict from image content
 def predict_from_image(image):
-    # Ensure the image is a PIL Image
+    print(f"Processing image: {image}")
     if not isinstance(image, Image.Image):
         raise ValueError("Invalid image format received. Please provide a valid image.")
 
@@ -59,27 +59,30 @@ def predict_from_image(image):
     else:
         return {"error": "Unexpected class prediction."}
 
-# Function to predict from URL
-def predict_from_url(url):
+# Function to predict from path or URL
+def predict_from_path_or_url(path_or_url):
     try:
-        response = requests.get(url)
-        response.raise_for_status()  # Ensure the request was successful
-        image = Image.open(BytesIO(response.content))
+        if path_or_url.startswith("http://") or path_or_url.startswith("https://"):
+            response = requests.get(path_or_url)
+            response.raise_for_status()  # Ensure the request was successful
+            image = Image.open(BytesIO(response.content))
+        elif os.path.isfile(path_or_url):
+            image = Image.open(path_or_url)
+        else:
+            return {"error": "Invalid path or URL. Please provide a valid URL or local file path."}
+        
         return predict_from_image(image)
     except Exception as e:
-        return {"error": f"Failed to process the URL: {str(e)}"}
+        return {"error": f"Failed to process the path or URL: {str(e)}"}
 
 # Gradio interface
 iface = gr.Interface(
-    fn=lambda image, url: predict_from_image(image) if image else predict_from_url(url),
-    inputs=[
-        gr.Image(type="pil", label="Upload an Image"),
-        gr.Textbox(label="Or Enter an Image URL", placeholder="Provide a valid image URL"),
-    ],
+    fn=predict_from_image,  # Adjust to handle images only
+    inputs=[gr.Image(type="pil", label="Upload an Image")],
     outputs=gr.JSON(label="Prediction Result"),
     live=True,
     title="Maize Anomaly Detection",
-    description="Upload an image or provide a URL to detect anomalies in maize crops.",
+    description="Upload an image to detect anomalies in maize crops.",
 )
 
 # Launch the interface