Skip to main content

A Streamlit custom component that provides a chat window with voice capabilities for conversation handling

Project description

AI Voice LLM Chat

A Streamlit custom component that provides a chat window with voice capabilities for conversation handling.

Features

  • Voice-activated chat interface
  • Face recognition capabilities
  • Customizable conversation handling
  • React-based frontend with TypeScript
  • Integration with custom APIs for voice processing

Installation

pip streamlit-ai-voice-chat

See Demo of Component

See Component in Action -- Demo: divergent-thinker.com/stefan

Usage

import streamlit as st
from streamlit_ai_voice_chat import custom_voiceGPT, VoiceGPT_options_builder

# Create options
to_builder = VoiceGPT_options_builder.create()
to = to_builder.build()

# Example usage of custom_voiceGPT
custom_voiceGPT(
    api=f"{st.session_state['ip_address']}/api/data/voiceGPT",
    api_key=os.environ.get('ozz_key'),
    client_user=st.session_state['client_user'],
    self_image="hootsAndHootie.png",
    width=350,
    height=350,
    key='hootsAndHootie.png True',
    hello_audio="test_audio.mp3",
    face_recon=True,
    show_video=True,
    input_text=True,
    show_conversation=True,
    no_response_time=3,
    refresh_ask={},
    force_db_root=True if 'force_db_root' in st.session_state and st.session_state['force_db_root'] else False,
    before_trigger={'how are you': 'hoots_waves__272.mp3', 'phrases': []},
    api_audio=f"{st.session_state['ip_address']}/api/data/",
    agent_actions=["Generate A Summary", "Create a Story"],
    commands=[
        {
            "keywords": [],
            "api_body": {"keyword": "hey hoots"},
        },
        {
            "keywords": ["bye Hoots"],
            "api_body": {"keyword": "bye hoots"},
        }
    ],
    datatree={},
    datatree_title="",
    answers=[],
    initialFinalTranscript=None,
)

Development

This project consists of:

  • Python backend using Streamlit
  • React/TypeScript frontend
  • Face recognition using face-api.js

Requirements

  • Python >= 3.7
  • Streamlit >= 1.0.0
  • Node.js (for frontend development)

License

MIT License

Author

Stefan Stapinski

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Submit a pull request

Repository

https://github.com/nafets33/ai_voice_chat

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamlit_ai_voice_chat-0.1.5.tar.gz (25.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

streamlit_ai_voice_chat-0.1.5-py3-none-any.whl (25.5 MB view details)

Uploaded Python 3

File details

Details for the file streamlit_ai_voice_chat-0.1.5.tar.gz.

File metadata

  • Download URL: streamlit_ai_voice_chat-0.1.5.tar.gz
  • Upload date:
  • Size: 25.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.9.9

File hashes

Hashes for streamlit_ai_voice_chat-0.1.5.tar.gz
Algorithm Hash digest
SHA256 c466e39242c24193a78beef66d20bff3f7bb60dadb35cd7fb2d10cda245d4f94
MD5 936c015d8d380b68a46da1dcb58ae1e9
BLAKE2b-256 4376ed4a2ded2c2ae5b03a1fa4adbbc163f30a3c2b34e456bd91d21020232ece

See more details on using hashes here.

File details

Details for the file streamlit_ai_voice_chat-0.1.5-py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_ai_voice_chat-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 6c1e0747dc02153b3698fe625f86c347a1c3e35f884f5ad45a80217ef9240e2d
MD5 8d20e5c14345ab562bf8d34329480763
BLAKE2b-256 27617176cf63e175a167298c7b530836c3b3513763e9891f6f45d0385bb017c9

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page