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| import gradio as gr | |
| from helper_functions import ai_assistant | |
| title = 'Ai Assistant 🤖' | |
| description = 'A cascade approach consisting of a text transcription model combined with an llm and a synthesizer to create an ai assistant' | |
| demo = gr.Interface( | |
| fn=ai_assistant, | |
| inputs=[gr.Audio(label='Command Input', sources=['microphone', 'upload'], type='filepath'), gr.Textbox(label='Groq API Key')], | |
| outputs=[gr.Audio(label='Output', type='numpy'), gr.Textbox(label="Reponse")], | |
| flagging_mode='never', | |
| title=title, | |
| description=description | |
| ) | |
| demo.launch() | |