Update app.py

app.py

@@ -104,32 +104,32 @@ with gr.Blocks() as file:
         submit_button.click(transcribe, [input_audio_microphone, output], [output, latency_textbox], concurrency_limit=None)
         clear_button.click(clear, outputs=[output])
 
-with gr.Blocks() as translate:
-    with gr.Column():
-        gr.Markdown(f"# Realtime Whisper Large V3 Turbo (Translation): \n Transcribe and Translate Audio in Realtime. This Demo uses the Checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers.\n Note: The first token takes about 5 seconds. After that, it works flawlessly.")
-        with gr.Row():
-            input_audio_microphone = gr.Audio(streaming=True)
-            output = gr.Textbox(label="Transcription and Translation", value="")
-            latency_textbox = gr.Textbox(label="Latency (seconds)", value="0.0", scale=0)
-            target_language_dropdown = gr.Dropdown(
-                choices=["english", "french", "hindi", "spanish", "russian"],  
-                label="Target Language",
-                value="<|es|>"  
-            )
-        with gr.Row():
-            clear_button = gr.Button("Clear Output")
-
-        input_audio_microphone.stream(
-            translate_and_transcribe, 
-            [input_audio_microphone, output, target_language_dropdown], 
-            [output, latency_textbox], 
-            time_limit=45, 
-            stream_every=2, 
-            concurrency_limit=None
-        )
-        clear_button.click(clear, outputs=[output])
+# with gr.Blocks() as translate:
+#     with gr.Column():
+#         gr.Markdown(f"# Realtime Whisper Large V3 Turbo (Translation): \n Transcribe and Translate Audio in Realtime. This Demo uses the Checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers.\n Note: The first token takes about 5 seconds. After that, it works flawlessly.")
+#         with gr.Row():
+#             input_audio_microphone = gr.Audio(streaming=True)
+#             output = gr.Textbox(label="Transcription and Translation", value="")
+#             latency_textbox = gr.Textbox(label="Latency (seconds)", value="0.0", scale=0)
+#             target_language_dropdown = gr.Dropdown(
+#                 choices=["english", "french", "hindi", "spanish", "russian"],  
+#                 label="Target Language",
+#                 value="<|es|>"  
+#             )
+#         with gr.Row():
+#             clear_button = gr.Button("Clear Output")
+
+#         input_audio_microphone.stream(
+#             translate_and_transcribe, 
+#             [input_audio_microphone, output, target_language_dropdown], 
+#             [output, latency_textbox], 
+#             time_limit=45, 
+#             stream_every=2, 
+#             concurrency_limit=None
+#         )
+#         clear_button.click(clear, outputs=[output])
 
 with gr.Blocks() as demo:
-    gr.TabbedInterface([microphone, translate, file], ["Microphone", "Realtime Translation", "Transcribe from file"])
+    gr.TabbedInterface([microphone, file], ["Microphone", "Transcribe from file"])
 
 demo.launch()