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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) with Hugging Face Transformers
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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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+
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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: