/chatgpt-whisper-streamlit-voice-assistant

Primary LanguagePython

ChatGPT + Whisper = Voice assistant!

Project description

This is an small app based on ChatGPT and deployed with Streamlit. The repo also include a version to run directly from console.

  • Receives input audio through the microphone
  • Transcribe (or translate if necessary) with Wishper API
  • Send it to OPENAI ChatGPT API
  • Use Google Text-to-Speech API to read ChatGPT response out loud

How to run it

  • Start by cloning the repository: git clone https://github.com/PabloCanovas/chatgpt-whisper-streamlit-voice-assistant gpt_voice_assistant

  • If you don't have pipenv installed to manage dependencies, then go ahead: pip install pipenv --user

  • Install required libraries. You can install them just by going to the cloned directory: cd gpt_voice_assistant and by running: pipenv install which will install dependencies based on my Pipfile.lock. It can take a while.

  • With all libraries installed, we need to manually introduce our own OpenAI api key. You need to create a new file called myapikeys.py with this line inside: OPENAI_KEY = "my-apikey-goes-here"

  • With all the set up ready, simply run the bot typing python chatbot.py

  • You also can run it on the browser making use of the streamlit library. Run streamlit run chatbot_streamlit.py

Use instructions:

  • Press Enter to start and stop recording.
  • Don't forget to reflect on the times we are living on. What a time to be alive!

Streamlit webapp snapshot