Update app.py

app.py

@@ -12,7 +12,7 @@ output_name = inf_session.get_outputs()[0].name
 
 classes = ['Art', 'Astrology', 'Biology', 'Chemistry', 'Economics', 'History', 'Literature', 'Philosophy', 'Physics', 'Politics', 'Psychology', 'Sociology']
 
-def classify(review):
+def classify(vid,review):
     input_ids = token(review)['input_ids'][:512]
     logits = inf_session.run([output_name],{input_name : [input_ids]})[0]
     logits = torch.FloatTensor(logits)
@@ -21,7 +21,7 @@ def classify(review):
     return dict(zip(classes,map(float,probs)))
 
 label = gr.outputs.Label(num_top_classes=5)
-iface = gr.Interface(fn=classify,inputs='text',outputs = label)
+iface = gr.Interface(fn=classify,inputs=[gr.Video(),'text'],outputs = label)
 iface.launch(inline=False)