Travel Guide Bot

This project implements a Flask web application that acts as a travel guide bot, leveraging Google's Gemini AI model for generating responses and OpenAI's image generation API for creating images.

Features

• AI-powered travel planning: The bot provides personalized travel plans based on user prompts, considering weather conditions and suggesting relevant activities.
• Weather information: The bot fetches weather data for the location mentioned in the prompt using the OpenWeatherMap API.
• Image generation: The bot generates images based on user prompts using OpenAI's image generation API.
• Conversation context: The bot maintains conversation context, remembering previous responses and using them to provide more relevant and personalized suggestions.

Setup

1. Create a .env file:

   • Create a file named .env in the project root directory.
   • Add the following lines, replacing the placeholders with your actual API keys:

     GOOGLE_API_KEY=YOUR_GOOGLE_API_KEY
     OPENAI_API_KEY=YOUR_OPENAI_API_KEY
     

   • You can obtain your API keys from the Google Cloud Platform and OpenAI websites.

2. Install dependencies:

   • Install the required Python packages using pip:

     pip install -r requirements.txt

Running the Application

1. Start the Flask server:
   • Run the following command in your terminal:

     flask run

   • The application will be accessible at http://127.0.0.1:5000/.

Usage

1. Access the web application: Open the URL http://127.0.0.1:5000/ in your web browser.
2. Enter a prompt: Type your travel-related prompt in the text area and click the "SUBMIT" button.
3. View the response: The bot will generate a response based on your prompt, including weather information and travel suggestions.
4. Generate an image: Enter a description for the image you want to generate in the "Visualize Your Destination" section and click the "Generate Image" button.

Code Structure

The project consists of the following files:

• app.py: The main Flask application file, containing the routes, API calls, and logic for the bot.
• templates/index.html: The HTML template for the frontend interface.
• static/: Folder containing static files like CSS and JavaScript.

Dependencies

• Flask
• google.generativeai
• pyttsx3
• requests
• openai
• dotenv
• os

Notes

• This project requires an active Google Cloud Platform account and an OpenAI API key.
• The gemini-1.5-flash model is used for generating responses. You can explore other Gemini models available on Google Cloud.
• The OpenWeatherMap API key is hardcoded in the get_weather function. You can replace it with your own API key.
• The clean_text function removes asterisk characters from the response, which might be used for formatting purposes.
• The session dictionary stores conversation context, allowing the bot to remember previous responses.

Future Improvements

• Error handling: Implement more robust error handling for API calls and other potential issues.
• User authentication: Add user authentication to personalize travel plans and store user preferences.
• Database integration: Store conversation history and user data in a database for persistence.
• More advanced features: Explore additional features like trip itinerary generation, booking functionality, and integration with other travel-related APIs.