This project automates the creation of Twitter content focused on Python programming topics. It uses OpenAI's GPT models and LangChain to generate engaging and concise tweets.
- Generates tweets based on Python programming topics.
- Utilizes OpenAI's GPT models for natural language processing.
- Customizable tweet format with support for hashtags.
- Python
- An OpenAI API key
- A .txt file with headers : No., Topic, Explaination seperated with '|' dividers.
Example:
| No. | Topic | Explanation |
|---|---|---|
| 1 | List Comprehensions | How to use list comprehensions for more concise and readable code. |
- Set up your
.envfile with your OpenAI API key:
OPENAI_API_KEY=your_api_key_here
- Launch Jupyter Notebook:
python -m notebook
-
Open the
finalPrompt.ipynbfile in Jupyter Notebook. -
Run the cells in the Jupyter Notebook to generate tweets.
You can edit the parameters within the notebook to customize the topics and formats of the tweets.
- OpenAI for providing the GPT models.
- LangChain for their language modeling tools.