Update app.py

app.py

@@ -4,13 +4,13 @@ model = keras.models.load_model('facial_expression1.h5')
 class_names = ['angry', 'disgust', 'fear', 'happy', 'neutral', 'sad', 'surprise']
 
 def predict_input_image(img):
-  img_4d=img.reshape(-1,40,40,1)
+  img_4d=img.reshape(-1,48,48,1)
   prediction=model.predict(img_4d)[0]
   return {class_names[i]: float(prediction[i]) for i in range(len(class_names))}
 
 
-image = gr.inputs.Image(shape=(40,40))
-label = gr.outputs.Label(num_top_classes=2)
+image = gr.inputs.Image(shape=(48,48))
+label = gr.outputs.Label(num_top_classes=len(class_names))
 
 gr.Interface(fn=predict_input_image, inputs=image, outputs=label,interpretation='default').launch(debug='True')