Update app.py

app.py

@@ -42,14 +42,20 @@ def predict(frame_or_path):
         return frame, {emotion: float(prob) for emotion, prob in zip(EMOTIONS, preds)}
 
 # Define input and output components for Gradio
-image_input = gr.components.Image(sources=["webcam", "upload"], label="Your face")
-image_output = gr.components.Image(label="Predicted Emotion")
-label_output = gr.components.Label(num_top_classes=2, label="Top 2 Probabilities")
+
+image_input = [
+        gr.components.Image(sources="webcam", label="Your face"),
+        gr.components.File(label="Upload Image or Video")
+      ]
+output = [
+        gr.components.Image(label="Predicted Emotion"),
+        gr.components.Label(num_top_classes=2, label="Top 2 Probabilities")
+      ]
 
 # Launch the Gradio interface
 title = "Facial Emotion Recognition"
 description = "How well can this model predict your emotions? Take a picture with your webcam, or upload an image, and it will guess if you are happy, sad, angry, disgusted, scared, surprised, or neutral."
 thumbnail = "https://raw.githubusercontent.com/gradio-app/hub-emotion-recognition/master/thumbnail.png"
 
-gr.Interface(fn=predict, inputs=image_input, outputs=[image_output, label_output],
+gr.Interface(fn=predict, inputs=image_input, outputs=output,
             title=title, description=description, thumbnail=thumbnail).launch()