Update app.py

app.py

@@ -49,16 +49,15 @@ def predict(image):
     else:
         return "Unexpected class prediction."
 
-# Create the Gradio interface and expose it as an API
+# Create the Gradio interface
 iface = gr.Interface(
     fn=predict,  # Prediction function
     inputs=gr.Image(type="pil"),  # Image input (PIL format)
     outputs=gr.Textbox(),  # Text output (Predicted class description)
     live=True,  # Update predictions as the user uploads an image
     title="Maize Anomaly Detection",
-    description="Upload an image of maize to detect anomalies like disease or pest infestation.",
-    api=True  # Expose the Gradio interface for API calls (POST requests)
+    description="Upload an image of maize to detect anomalies like disease or pest infestation."
 )
 
-# Launch the Gradio interface
-iface.launch()
+# Expose Gradio interface as API endpoint
+iface.launch(share=True, server_name="0.0.0.0", server_port=7860)