This repository contains a Python script for analyzing text using the OpenAI gpt-3.5-turbo language model. The script takes a text or PDF file as input, and allows users to ask questions about the content. If you need documentation from OpenAI of the model, you can find it here.
- Clone the repository:
git clone https://github.com/ddtdanilo/Text-Analysis-with-OpenAI-GPT-3.5.git- Install the required packages:
pip install openai PyPDF2 python-dotenv- Set up your OpenAI API key by following the instructions in the OpenAI documentation.
- Load a text by running the script with the file paths as arguments:
python scripts/text_analysis.py examples/example_prompt.txt examples/example_response.txt examples/example-text_to_analyze.txt-
Ask questions about the text by typing them in at the prompt. The script will generate answers using the OpenAI GPT-3 language model.
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To exit the script, type "exit" at the prompt.
The script currently uses the "gpt-3.5-turbo", which is the most powerful.
Contributions to this project are welcome. If you find any bugs or have suggestions for new features, please create an issue or submit a pull request.
This project is licensed under the MIT License.