xikest / app_chatbot

AI Chatbot

This project is an AI-powered chatbot that uses OpenAI's GPT-3.5 Turbo model and DALL·E to provide natural language understanding and image generation capabilities. It is designed to respond to text input from users and generate text-based responses as well as create images based on prompts.

Features

• AI Chatbot: The chatbot is powered by OpenAI's GPT-3.5 Turbo model and can engage in natural language conversations with users.
• Image Generation: The project also includes a feature that generates images using DALL·E based on user prompts.
• Logging: The application logs user interactions and bot responses, allowing users to track and review their conversations.

Getting Started

To get started with this project, follow these steps:

1. Clone the repository to your local machine:

git clone https://github.com/your-username/ai-chatbot-image-generator.git

2. Install the required dependencies. You can use pip to install the necessary libraries:

pip install -r requirements.txt

3. Obtain API keys:

• Create an OpenAI API key from the OpenAI platform.
• Create a Telegram bot and obtain the API token from the BotFather on Telegram.

4. Set environment variables for your API keys. You can export them as follows:

export TELEGRAM_BOT_TOKEN="your-telegram-bot-token"
export OPENAI_API_KEY="your-openai-api-key"

5. Run the application:

python app_chatbot.py

6. You can interact with the AI chatbot on Telegram by sending messages to your bot.

Usage

• To start a new conversation with the chatbot, send the /new command to the bot. It will create a new conversation log for you.
• To generate images using DALL·E, send the /img command followed by your image prompt.
• You can engage in natural language conversations by sending text messages to the bot. The chatbot will respond based on the context of the conversation.

Logs

User interactions and bot responses are logged and stored in the logs directory. You can review your conversations by accessing the log files.

Acknowledgments

This project was built with the help of the following technologies and libraries:

• OpenAI for the GPT-3.5 Turbo model and DALL·E.
• Python Telegram Bot for the Telegram bot integration.