https://github.com/alterxyz/telegram_speech_notebook

Telegram_bot Voice Notebook with Dify and Whisper
https://github.com/alterxyz/telegram_speech_notebook

Last synced: 23 days ago
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Telegram_bot Voice Notebook with Dify and Whisper

• Host: GitHub
• URL: https://github.com/alterxyz/telegram_speech_notebook
• Owner: alterxyz
• License: mit
• Created: 2024-06-03T05:45:04.000Z (6 months ago)
• Default Branch: main
• Last Pushed: 2024-06-29T18:19:42.000Z (5 months ago)
• Last Synced: 2024-10-05T09:21:42.246Z (about 1 month ago)
• Language: Python
• Size: 21.5 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Telegram Speech-to-Text Bot

A simple Telegram bot that converts voice messages to text using Local or OpenAI-API[Whisper](https://github.com/openai/whisper), or Deepgram API.

Fix or refine the transcribed text with the Dify work flow.

## Features

- Your audio files are stored locally where the bot is hosted (when using Local Whisper)

- Transcribe voice messages to text, and it is editable!

## Usage

1. Send a voice message or audio file to the bot

2. The bot will reply with the transcribed text

3. Try those buttons!

## Requirements

- Python 3.x

- Telegram Bot Token

- Dify API for process transcribed text

- Speech-to-Text Service

    - Local Whisper

    - OpenAI API

    - Deepgram API

## Deployment

1. Clone this repository

2. Install the requirements by `pip install -r requirements.txt`

3. Set up the environment variables

    1. Put your Telegram Bot Token in `bot.py`

    2. Put your Dify API key in `audio_whisper.py` [view more detail](doc/deployment.md#dify)

    3. Set up the Speech-to-Text Service and update at `bot.py` [view more detail](doc/deployment.md#speech-to-text-service)

- Run `python3 bot.py` or `python bot.py` (run it with tmux to prevent it from stopping when you close the terminal)

## Future Work

- [x] Add GPT refinement to the transcribed text.

- [ ] Groq API

GLHF!