feat: use ONNX model

app.py

@@ -108,13 +108,13 @@ def inference(
     return output_message
 
 
-# iface = gr.Interface(
-#     fn=inference,
-#     inputs='video',
-#     outputs='text',
-#     examples=examples,
-#     title=title,
-#     description=description,
-# )
-# iface.launch()
-print(inference('000_con_cho.mp4'))
+iface = gr.Interface(
+    fn=inference,
+    inputs='video',
+    outputs='text',
+    examples=examples,
+    title=title,
+    description=description,
+)
+iface.launch()
+# print(inference('000_con_cho.mp4'))