Update app.py

app.py

@@ -104,33 +104,34 @@ def format_timestamp(t):
     mi = (t - int(t))*1000
     return f"{int(hh):02d}:{int(mm):02d}:{int(ss):02d},{int(mi):03d}"
 
-def gradio_interface():
-    with gr.Blocks() as demo:
-    
-        with gr.Row():
-    
-            with gr.Column():
-    
-                with gr.Row():
-                    url = gr.Textbox(placeholder='Youtube video URL', label='URL')
-    
-                with gr.Row():
-    
-                    model_size = gr.Dropdown(choices=model_size, value='tiny', label="Model")
-                    lang = gr.Dropdown(choices=langs, value="None", label="Language (Optional)")
-                    format = gr.Dropdown(choices=["None", ".srt"], value="None", label="Timestamps? (Optional)")
-    
-                with gr.Row():
-                    gr.Markdown("Larger models are more accurate, but slower. For 1min video, it'll take ~30s (tiny), ~1min (base), ~3min (small), ~5min (medium), etc.")
-                    transcribe_btn = gr.Button('Transcribe')
-    
-            with gr.Column():
-                outputs = gr.Textbox(placeholder='Transcription of the video', label='Transcription')
-    
-        transcribe_btn.click(get_transcript, inputs=[url, model_size, lang, format], outputs=outputs)
 
-#demo.launch(debug=True)
-io = gr.Interface(gradio_interface)
+with gr.Blocks() as demo:
+
+    with gr.Row():
+
+        with gr.Column():
+
+            with gr.Row():
+                url = gr.Textbox(placeholder='Youtube video URL', label='URL')
+
+            with gr.Row():
+
+                model_size = gr.Dropdown(choices=model_size, value='tiny', label="Model")
+                lang = gr.Dropdown(choices=langs, value="None", label="Language (Optional)")
+                format = gr.Dropdown(choices=["None", ".srt"], value="None", label="Timestamps? (Optional)")
+
+            with gr.Row():
+                gr.Markdown("Larger models are more accurate, but slower. For 1min video, it'll take ~30s (tiny), ~1min (base), ~3min (small), ~5min (medium), etc.")
+                transcribe_btn = gr.Button('Transcribe')
+
+        with gr.Column():
+            outputs = gr.Textbox(placeholder='Transcription of the video', label='Transcription')
+
+    transcribe_btn.click(get_transcript, inputs=[url, model_size, lang, format], outputs=outputs)
+
+demo.launch(debug=True)
+
+#io = gr.Interface(gradio_interface)
 
-app = gr.mount_gradio_app(app, io, path=CUSTOM_PATH)
+#app = gr.mount_gradio_app(app, io, path=CUSTOM_PATH)
 uvicorn.run(app, host="0.0.0.0", port=7860)