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Create app.py
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app.py
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'''
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+----------------------+ +-------------------------+ +-------------------------------+ +-------------------------+
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| Step 1: Set Up | | Step 2: Set Up Gradio | | Step 3: Speech-to-Text | | Step 4: Text-to-Speech |
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| Environment | | Interface | | & Language Model Processing | | Output |
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+----------------------+ +-------------------------+ +-------------------------------+ +-------------------------+
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| - Import Python | | - Define interface | | - Transcribe audio | | - XTTS model generates |
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| libraries | | components | | to text using | | spoken response from |
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| - Initialize models: |--------> - Configure audio and |------->| Faster Whisper ASR |------->| LLM's text response |
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| Whisper, Mistral, | | text interaction | | - Transcribed text | | |
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| XTTS | | - Launch interface | | is added to | | |
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| | | | | chatbot's history | | |
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| | | | | - Mistral LLM | | |
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| | | | | processes chatbot | | |
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| | | | | history to generate | | |
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| | | | | response | | |
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+----------------------+ +-------------------------+ +-------------------------------+ +-------------------------+
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'''
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###### Set Up Environment ######
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import os
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- Speech to Text Model: [Faster-Whisper-large-v3](https://huggingface.co/Systran/faster-whisper-large-v3) an ASR model, to transcribe recorded audio to text.
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- Large Language Model: [Mistral-7b-instruct-v0.1-quantized](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF) a LLM to generate the chatbot responses.
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- Text to Speech Model: [XTTS-v2](https://huggingface.co/spaces/coqui/xtts) a TTS model, to generate the voice of the chatbot.
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Note:
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- Responses generated by chat model should not be assumed correct or taken serious, as this is a demonstration example only
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- iOS (Iphone/Ipad) devices may not experience voice due to autoplay being disabled on these devices by Vendor"""
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###### Set Up Environment ######
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import os
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- Speech to Text Model: [Faster-Whisper-large-v3](https://huggingface.co/Systran/faster-whisper-large-v3) an ASR model, to transcribe recorded audio to text.
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- Large Language Model: [Mistral-7b-instruct-v0.1-quantized](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.1-GGUF) a LLM to generate the chatbot responses.
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- Text to Speech Model: [XTTS-v2](https://huggingface.co/spaces/coqui/xtts) a TTS model, to generate the voice of the chatbot.
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Note:
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- Responses generated by chat model should not be assumed correct or taken serious, as this is a demonstration example only
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- iOS (Iphone/Ipad) devices may not experience voice due to autoplay being disabled on these devices by Vendor"""
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