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README.md
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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### **AI Kids' Story Generator – English & Arabic**
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#### **Project Objectives**
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The AI Kids' Story Generator is designed to create fun and imaginative short stories for children. By inputting a character name and a setting, users can generate engaging stories in either English or Arabic. This project leverages advanced natural language processing techniques to provide a creative and interactive storytelling experience.
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#### **Implemented Pipelines**
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The project utilizes text generation pipelines from the **Transformers** library:
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- **Model Selection:**
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- **English:** Utilizes the **microsoft/Phi-3-mini-4k-instruct** model for generating fluent and engaging English stories.
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- **Arabic:** Employs the **ALLaM-AI/ALLaM-7B-Instruct-preview** model, optimized for Arabic language generation.
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#### **How to Use the Interface**
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1. **Enter a Character Name:** Input the name of the main character.
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2. **Specify the Setting:** Choose a setting for the story (e.g., a magical forest).
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3. **Select Language:** Choose whether the story should be in English or Arabic.
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4. **Generate Story:** Click the "Submit" button to create a unique children's story. The generated story will be displayed in the "Kids' Story" textbox.
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5. **Use Examples:** Predefined examples are available to help users see how the generator works. Simply click on an example to populate the fields automatically.
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#### **Justification for Model and Pipeline Choices**
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- **Model Suitability:** The selected models are optimized for instruction-following tasks, making them ideal for generating structured and engaging narratives.
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- **Pipeline Configuration:** Parameters are fine-tuned to encourage creativity and engagement, essential for crafting captivating children's stories.
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#### **Bilingual Support**
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The application supports both **English and Arabic**, enabling users to generate stories in their preferred language, making storytelling accessible to a wider audience.
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