Skip to content

This Python script generates PowerPoint presentations based on user's command. This is a sub project developed to improve an add on feature for project- MALAR. It utilizes Hugging Face's models for natural language processing and image styling.

License

Notifications You must be signed in to change notification settings

harxharish19/Melody_PPT_GENERATOR

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Melody PPT Generator

This Python script generates PowerPoint presentations based on user input. It utilizes Hugging Face's models for natural language processing and image styling.

How to Use

  1. Install the required libraries using pip install -r requirements.txt.
  2. Run the script using python main.py.
  3. Follow the instructions and provide the necessary input.

Project Structure

  • main.py: Main script for generating PowerPoint presentations.
  • textfiles/: Directory containing text files for the script.
  • images/: Directory for storing images used in the presentation.

Dependencies

APIs

The script uses the following APIs:

  1. Hugging Face Inference API: Utilized for natural language processing tasks.
  2. GoofyAI Cyborg Style XL API: Used for styling images.

Important Note

To use the APIs, you need to obtain your own API keys. Replace the placeholder <YOUR_API_KEY> in the script with your actual API keys.

Feel free to customize this structure based on your preferences. Once you've organized your project, you can create a new GitHub repository and upload your files.

License: This project is licensed under the MIT License.

About

This Python script generates PowerPoint presentations based on user's command. This is a sub project developed to improve an add on feature for project- MALAR. It utilizes Hugging Face's models for natural language processing and image styling.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%