Isidorophp commited on
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20c351c
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1 Parent(s): 4162c3e

Update app.py

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Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -150,7 +150,7 @@ with gr.Blocks(theme=gr.themes.Glass(font=[gr.themes.GoogleFont("Inconsolata"),
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  with gr.Tab("Write to Sonia"):
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  with gr.Group():
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- user_input = gr.TextArea(label="Your Question", show_copy_button=True, value="What are the key considerations for implementing an expansion plan that would affect a large number of employees of a global biomedical company, My position is logistics global Manager professional in inventory management and supply chain within a biotech industry, particularly in cell therapy. The key responsibilities include managing end-to-end logistics and lab implementation over a dispersed geographical area. generate new programs, develop MRP processes, collaborate with various departments, and ensure compliance with GMP standards. I have several years of practical experience, strong analytical skills, and the ability to work collaboratively in a dynamic environment. Bonus qualifications include experience with cold chain logistics and autologous cell therapy.")
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  output_text = gr.TextArea(label="Sonia's Text Response", interactive=False, show_copy_button=True, value="", container=True)
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  output_audio = gr.Audio(label="Sonia's Audio Response", type="filepath", interactive=False, autoplay=True, elem_classes="audio", waveform_options=gr.WaveformOptions(show_recording_waveform=False), container=True)
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  gr.Interface(fn=generate1, inputs=user_input, outputs=[output_text, output_audio], live=False)
 
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  with gr.Tab("Write to Sonia"):
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  with gr.Group():
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+ user_input = gr.TextArea(label="Your Question", show_copy_button=True, value="What are, Professor Domingo Tortonese greatest achievements.")
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  output_text = gr.TextArea(label="Sonia's Text Response", interactive=False, show_copy_button=True, value="", container=True)
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  output_audio = gr.Audio(label="Sonia's Audio Response", type="filepath", interactive=False, autoplay=True, elem_classes="audio", waveform_options=gr.WaveformOptions(show_recording_waveform=False), container=True)
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  gr.Interface(fn=generate1, inputs=user_input, outputs=[output_text, output_audio], live=False)