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chatbot_openai_model

Fine tuned Telegram chatbot with OpenAI models

This repository contains the code and necessary resources for fine-tuning OpenAI models and creating a Telegram chatbot capable of recommending courses from the Platzi educational platform.

Example Operation

Project Description

The goal of this project is to develop a Telegram chatbot that can interact with users and provide course recommendations from the Platzi platform based on their interests and learning needs. We use pre-trained language models from OpenAI to achieve natural and effective conversation.

Key Features

  • Natural Conversation: The chatbot uses pre-trained language models to maintain coherent and understandable conversations with users.

  • Personalized Recommendations: Based on the user's preferences, the chatbot recommends specific Platzi courses that align with their interests.

  • Integration with Telegram: The chatbot integrates with the Telegram messaging platform, allowing users to interact with it conveniently.

Usage Guide

Prerequisites

  • NLP and neural networks understanding.
  • Python libraries as specified in requirements.txt
  • Telegram account to configure the bot.
  • OpenAI API Token

Configuration

  1. Clone this repository.

  2. Create a virtual environment and install dependencies using pip install -r requirements.txt.

  3. If you want to train, You will need an appropiate format (JSONL) that OpenAI models require for fine tunning. You can convert the data with the following command:

openai tools fine_tunes.prepare_data -f datasets/data.csv

  1. Create a bot on Telegram and obtain your API token.

  2. Configure the API token in an enviroment variable or use load_env and generate a .env file.

Execution

Run the main chatbot script using the following command:

python chatbot.py