This project aims to monitor a designated folder for recently added video transcript files and automate the execution of a Python script. This script leverages the content within the transcript files to generate prompts for GPT-3.5-Turbo by OpenAI to obtain summaries.
The auto_run.py script employs the watchdog library to monitor file system events within a specified folder. Upon the addition of a new transcript file, it automatically initiates the execution of the chatgpt_automation.py script, passing the name of the newly added file as an argument. In the latter script, an API call is made to GPT-3.5-Turbo, utilizing the content of the transcript file as a prompt, and the model's response is obtained as the summary.
OpenAI and watchdog are the important libraries required for the scripts to run successfully.
pip install --upgrade openai watchdog
Check this to add an environment variable and make your API key accessible to all projects.
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Open the
auto_run.pyfile and update the FOLDER_TO_MONITOR variable with the absolute path of the folder you want to monitor. Also, update output_dir in thechatgpt_automation.pyscript -
Run the script:
python auto_run.pyThis script will now monitor the specified folder, and whenever a new file is added, it will trigger the execution of
chatgpt_automation.pywith the file's name as an argument.
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You can customize the behavior of the script by modifying the MyHandler class in the
auto_run.pyfile. -
Adjust the logic in
chatgpt_automation.pyto process the newly added file according to your requirements.
Understanding pricing is really important before you run this project. So please KEEP THIS IN MIND!
You can check out OpenAI's pricing structure here
Contributions are welcome! Feel free to open issues or submit pull requests.