Story generation tool using deep learning models- Hugging Face Transformer architecture model

[Panchadip-128]

Related Issues or bug

-StoryCraft AI is an interactive web application that uses advanced text generation models to create engaging stories based on user-provided prompts. Leveraging the power of Hugging Face's Transformers, this tool allows users to generate creative and compelling narratives with customizable length.

Fixes: #836

Proposed Changes

• Features: Interactive Text Input: Users can enter a prompt to generate a story. Adjustable Length: Use a slider to select the desired length of the generated story. Real-time Generation: Get instant story generation with a single click. User-Friendly Interface: Built with Streamlit for an intuitive and accessible experience.

Getting Started: To run StoryCraft AI locally, follow these steps:

Clone the Repository: git clone https://github.com/Panchadip-128/StoryCraft.AI-An-AI-Web-application-for-Story-Creation-.git

Select the appropriate file for run: cd "StoryCraft.AI-An-AI-Web-application-for-Story-Creation-"

Install the Required Packages: pip install -r requirements.txt

Finally run the main application: streamlit run app.py

The screen will be redirected to streamlit web application from where user can enter a prompt, adjust the slider for required words and get appropriate result.

Additional Info

• Anything related Issues

Screenshots

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original screenshot	updated screenshot

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🎉🎉 Thank you for your contribution! Your PR #844 has been merged! 🎉🎉