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.
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.
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Natural Conversation: The chatbot uses pre-trained language models to maintain coherent and understandable conversations with users.
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Personalized Recommendations: Based on the user's preferences, the chatbot recommends specific Platzi courses that align with their interests.
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Integration with Telegram: The chatbot integrates with the Telegram messaging platform, allowing users to interact with it conveniently.
- NLP and neural networks understanding.
- Python libraries as specified in
requirements.txt - Telegram account to configure the bot.
- OpenAI API Token
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Clone this repository.
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Create a virtual environment and install dependencies using
pip install -r requirements.txt. -
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-
Create a bot on Telegram and obtain your API token.
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Configure the API token in an enviroment variable or use
load_envand generate a .env file.
Run the main chatbot script using the following command:
python chatbot.py