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# AI Voice Assistant
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This project implements an AI-powered voice assistant using Gradio, Hugging Face models, and other machine learning libraries. The assistant can transcribe audio, generate conversational responses, and respond via text and speech.
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## Features
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- Speech-to-Text (STT) using Whisper
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- Natural Language Understanding (NLU)
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- Text-to-Speech (TTS) using gTTS
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## Setup Instructions
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1. Clone the repository:
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---
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title: AI Voice Assistant
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emoji: 🎙️
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colorFrom: purple
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colorTo: pink
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sdk: gradio
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sdk_version: "3.35.2" # Replace this with your installed Gradio version
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app_file: app.py
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pinned: false
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---
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# AI Voice Assistant
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This project implements an AI-powered voice assistant using Gradio, Hugging Face models, and other machine learning libraries. The assistant can transcribe audio, generate conversational responses, and respond via text and speech.
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## Features
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- **Speech-to-Text (STT):** Converts speech input into text using Whisper.
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- **Natural Language Understanding (NLU):** Processes text input and generates responses using a conversational AI model.
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- **Text-to-Speech (TTS):** Converts text responses into voice output using gTTS.
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## Setup Instructions
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1. Clone the repository:
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