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-0.1.6.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-0.1.6-py3-none-any.whl (25.5 MB view details)

Uploaded Python 3

File details

Details for the file streamlit_ai_voice_chat-0.1.6.tar.gz.

File metadata

  • Download URL: streamlit_ai_voice_chat-0.1.6.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-0.1.6.tar.gz
Algorithm Hash digest
SHA256 dafca0a61d1d5af2e9f0afbe095bebaeee9cc46d4cd05260e80b6c4824dad064
MD5 5a77093d9a3e42e33bcdfe8729190532
BLAKE2b-256 5e0ee9f375c68dd821b55d8cc3a7dec3a7aac665115378c5e112e73da5f1e8c1

See more details on using hashes here.

File details

Details for the file streamlit_ai_voice_chat-0.1.6-py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_ai_voice_chat-0.1.6-py3-none-any.whl
Algorithm Hash digest
SHA256 8fc5a600ea3feb30cffe1051eef4efb2128df6535e2609a08bb5836933baaf74
MD5 e272cddf2a8377afa837a75c391d87c5
BLAKE2b-256 8314cba90b76e76d00facb5b0a8bc13cb1ea74ac37a7db9b268ba98a4c6b399e

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