Pijush2023 commited on
Commit
89afef0
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1 Parent(s): ff202f4

Update app.py

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Files changed (1) hide show
  1. app.py +1 -3
app.py CHANGED
@@ -669,6 +669,7 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
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  chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input], api_name="voice_query")
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  tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta", "Gamma"], value="Alpha")
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  retriver_button = gr.Button("Retriever")
 
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  location_output = gr.HTML()
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  retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
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  fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot, gr.Audio(interactive=False, autoplay=True)], api_name="Ask_Retriever").then(
@@ -682,9 +683,6 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
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  audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy')
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  audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="voice_query_to_text")
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-
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- gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
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- location_output = gr.HTML() # Initialize location_output here
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  with gr.Column():
 
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  chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input], api_name="voice_query")
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  tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta", "Gamma"], value="Alpha")
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  retriver_button = gr.Button("Retriever")
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+ gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
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  location_output = gr.HTML()
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  retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
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  fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot, gr.Audio(interactive=False, autoplay=True)], api_name="Ask_Retriever").then(
 
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  audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy')
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  audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="voice_query_to_text")
 
 
 
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  with gr.Column():