📖 AI Story Generator

Welcome to the AI Story Generator App! This web application uses a trained LSTM model to generate creative story continuations based on a user-provided starting sentence.

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🚀 Demo

Start the app locally:

streamlit run app.py

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🧠 About the Project

This project uses deep learning with LSTM (Long Short-Term Memory) to build a text generation model trained on story-like text. The trained model continues a sentence by predicting and generating the next words, one at a time.

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🗂 Project Structure

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├── app.py                # Streamlit application code
├── story_generator.h5    # Trained LSTM model (Keras)
├── tokenizer.pkl         # Tokenizer used during training
├── requirements.txt      # Python dependencies
└── README.md             # You're reading this!

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🧪 Features

• Generate stories word-by-word from a custom seed sentence
• Adjustable output length (10–100 words)
• Fast and simple web interface via Streamlit

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⚙️ Setup Instructions

1. ✅ Clone the repository or download the files
2. ✅ Install dependencies:

pip install -r requirements.txt

3. ✅ Run the app:

streamlit run app.py

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📆 Requirements

• Python 3.7+
• TensorFlow
• Numpy
• Streamlit

(See requirements.txt for full list.)

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✨ Example Output

Input: The prince entered the forest Generated: The prince entered the forest and saw a strange creature standing in the mist. It looked at him with glowing eyes and then...

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🙌 Acknowledgements

• Built with ❤️ using Keras and Streamlit
• Inspired by creative text generation projects and LSTM-based language models

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📬 Contact

If you’d like to collaborate or give feedback, feel free to reach out!