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Update app.py
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app.py
CHANGED
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@@ -101,9 +101,9 @@ async def generate1(prompt):
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await communicate.save(tmp_path)
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yield tmp_path
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# font=[gr.themes.GoogleFont("Quicksand"), "Arial", "Arial"]
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gr.HTML(""" <img src='https://huggingface.co/spaces/Isidorophp/Executive-Assistant/resolve/main/logo.png' alt='RJP DEV STUDIO logo' style='height:60px'> """
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""" <center> <h1> I am Sonia π±πΎββοΈ your Unique Executive Assistant. </h1></center> """
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@@ -113,16 +113,13 @@ with gr.Blocks(gr.themes.Ocean()) as demo:
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with gr.Group():
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us_input = gr.Audio(label="Your Voice Chat", type="filepath", interactive=True, sources="microphone", scale=3, waveform_options=gr.WaveformOptions(show_recording_waveform=False), container=True )
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us_output = gr.Audio(label="Sonia's Response", type="filepath", interactive=False, autoplay=True, scale=3, elem_classes="audio", waveform_options=gr.WaveformOptions(show_recording_waveform=False), container=True )
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gr.Interface(fn=respond, inputs=us_input, outputs=us_output
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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", scale=1, 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_audio = gr.Audio(label="Sonia's Response", scale=3, 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_audio
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if __name__ == "__main__":
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demo.queue(max_size=200, api_open=False).launch()
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# demo.queue(default_concurrency_limit=100, max_size=100).launch(max_threads=100, ssr_mode=False) or launch(show_api=False)
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await communicate.save(tmp_path)
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yield tmp_path
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with gr.Blocks(gr.themes.Glass(font=[gr.themes.GoogleFont("Quicksand"), "Arial", "Arial"]) as demo:
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gr.HTML(""" <img src='https://huggingface.co/spaces/Isidorophp/Executive-Assistant/resolve/main/logo.png' alt='RJP DEV STUDIO logo' style='height:60px'> """
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""" <center> <h1> I am Sonia π±πΎββοΈ your Unique Executive Assistant. </h1></center> """
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with gr.Group():
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us_input = gr.Audio(label="Your Voice Chat", type="filepath", interactive=True, sources="microphone", scale=3, waveform_options=gr.WaveformOptions(show_recording_waveform=False), container=True )
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us_output = gr.Audio(label="Sonia's Response", type="filepath", interactive=False, autoplay=True, scale=3, elem_classes="audio", waveform_options=gr.WaveformOptions(show_recording_waveform=False), container=True )
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gr.Interface(fn=respond, inputs=us_input, outputs=us_output)
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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", scale=1, 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_audio = gr.Audio(label="Sonia's Response", scale=3, 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_audio)
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if __name__ == "__main__":
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demo.queue(max_size=200, api_open=False).launch()
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