Added my contributions to community-contributions-RAG
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week5/community-contributions/tourist-guide/README.md
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# Tourist Assistant
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An interactive voice-enabled tourist guide that provides information about cities, landmarks, and destinations worldwide. This application uses OpenAI's GPT models for text generation and speech features for a natural conversation experience, along with RAG capabilities and Google Places API integration for real-time attraction information.
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## Features
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- Text-based chat interface for asking questions about tourist destinations
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- Voice input capability through microphone recording
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- Audio responses using OpenAI's text-to-speech technology
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- Clean, responsive user interface with Gradio
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- RAG (Retrieval-Augmented Generation) system using PDF knowledge base
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- Google Places API integration for real-time information about attractions
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- Set current location for contextual queries
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- Quick access to nearby attractions information
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## Requirements
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- Python 3.9+
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- OpenAI API key
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- Google Places API key (optional, for location search features)
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## Installation
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1. Clone this repository
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2. Install the required dependencies:
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```
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pip install -r requirements.txt
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```
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3. Create a `.env` file in the project directory with your API keys:
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```
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OPENAI_API_KEY=your_openai_api_key_here
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GOOGLE_PLACES_API_KEY=your_google_places_api_key_here
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```
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4. (Optional) Add PDF files to the `knowledge-base/` directory to enhance the assistant's knowledge about specific locations
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## Running the Application
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Start the application by running:
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```bash
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python tourist-assistant.py
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```
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The interface will automatically open in your default web browser. If it doesn't, navigate to the URL shown in the terminal (typically http://127.0.0.1:7860/).
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## Usage
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1. Type your question about any tourist destination in the text box
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2. Or click the microphone button and speak your question
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3. The assistant will respond with text and spoken audio
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4. Set your current location using the "Set Location" feature
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5. Click "Nearby Attractions" to get information about attractions near your current location
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6. Use the "Refresh Knowledge Base" button to reload PDFs in the knowledge-base directory
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7. Use the "Clear" button to start a new conversation
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## Technologies Used
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- OpenAI GPT-4o Mini for chat completions
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- OpenAI Whisper for speech-to-text
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- OpenAI TTS for text-to-speech
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- Langchain for RAG implementation
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- FAISS for vector storage
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- Google Places API for location-based attraction information
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- Gradio for the web interface
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- pydub for audio processing
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