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---
title: Voice Ai
emoji: 🦀
colorFrom: yellow
colorTo: indigo
sdk: streamlit
sdk_version: 1.42.0
app_file: app.py
pinned: false
license: mpl-2.0
thumbnail: >-
https://cdn-uploads.huggingface.co/production/uploads/6752c8b21288ea13c1ceeef0/pOdkspnUGlneUDIERdXab.jpeg
short_description: A Streamlit-based Voice AI with text, speech, and replies.
---
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
# Voice AI - Chat & Voice Assistant 🎙️🤖
## 🌟 Overview
Voice AI is an interactive chatbot that supports both **text and voice-based conversations**. Built using **Streamlit, Whisper API, LLaMA 3, and Edge TTS**, it provides a seamless experience where users can **speak or type their queries** and get **AI-generated responses** in both **text and speech formats**.
## 🚀 Features
- 🎤 **Voice Input**: Record your voice and get AI-generated answers.
- 📝 **Text Input**: Type questions and receive intelligent responses.
- 🔊 **Text-to-Speech (TTS)**: AI responses are converted to speech and played back.
- 📜 **Conversational Memory**: Holds the conversation history in the session.
- 🎶 **Dynamic Audio File Naming**: Each response generates a new numbered audio file.
- 🌍 **Hosted on Hugging Face Spaces**: Accessible anywhere, anytime.
## 🏗️ Technologies Used
- **Streamlit**: UI Framework for interactive web apps.
- **Whisper API (Groq)**: Converts voice input to text.
- **LLaMA 3 (Groq)**: AI model for intelligent responses.
- **Edge TTS**: Converts AI-generated responses into speech.
## 📖 How It Works
1. **Start Chatting**
- Type your question OR press the **mic button** to record your voice.
2. **AI Processing**
- If using voice, your speech is converted to text.
- AI generates a relevant response based on the input.
3. **Response Output**
- The response is displayed on the screen.
- A voice response is also generated and played automatically.
4. **Continue the Conversation**
- Each new message is appended to the conversation history.
- Previous responses remain visible, and only the latest audio autoplays.
## 📦 Installation & Running Locally
If you want to run the project on your own machine:
### Prerequisites
- Python 3.8+
- Install dependencies
```bash
pip install -r requirements.txt
```
### Run the App
```bash
streamlit run app.py
```
## 🎭 Demo
Check out the live app on [Hugging Face Spaces](https://huggingface.co/spaces/vsj0702/voice_ai)!
## 📝 License
This project is licensed under the **MPL-2.0 License**.
---
💡 *Contributions & Feedback are Welcome!* 🚀 |