Update app.py

app.py

@@ -63,32 +63,27 @@ def classify_image(input):
     predicted_class = categories[np.argmax(preds)]
     recycle_preds = dict_recycle[predicted_class]
 
-    return cls_preds, recycle_preds
+    return cls_preds
 
 
 
 # Defining the Gradio Interface
 # This is how the Demo will look like.
 title = "Should I Recycle This?"
-description = """
+# description = """
 
-This app was created to help people recycle the right type of waste.
+# This app was created to help people recycle the right type of waste.
 
-You can use it at the comfort of your own home. Just take a picture of the waste material you want to know if
-its recyclible and upload it to this app and using Artificial Intelligence it will determine if you should
-throw the waste in the recycling bin or the normal bin.
+# You can use it at the comfort of your own home. Just take a picture of the waste material you want to know if
+# its recyclible and upload it to this app and using Artificial Intelligence it will determine if you should
+# throw the waste in the recycling bin or the normal bin.
 
-Enjoy!
-
-Made by Viola, you can reach out to me here: <a href="[email protected]">Send Email</a> 
-
-
-"""
+# """
 
 image = gr.Image(shape=(224,224))
 label = gr.Label(num_top_classes=3, label='Prediction Material')
-recycle = gr.Textbox(label='Should you recycle?')
-outputs = [label, recycle]
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=outputs, title = title, description = description, 
+#recycle = gr.Textbox(label='Should you recycle?')
+outputs = [label]
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=outputs, title = title, 
                     cache_examples=False)
 intf.launch(enable_queue=True)