Update README.md

README.md

@@ -4,35 +4,63 @@ language:
 - en
 pipeline_tag: text-generation
 ---
-# Shakespeare Quote Generator
+# Shakespeare-YQG  
 
-## Model Description
-This model generates Shakespeare-style text based on a given seed text. It uses a neural network trained on Shakespeare's works to predict and generate text that mimics his style. The model is hosted on Hugging Face Spaces and can be accessed [here](https://huggingface.co/spaces/NightPrince/Shakespeare-YQG).
+![Model Banner](https://huggingface.co/NightPrince/Shakespeare-YQG/blob/main/assets/model-banner.png)  
+
+**Creator**: Yahya Muhammad Alnwsany  
+**Model Type**: Text Generation Model  
+**Languages Supported**: English  
+**Intended Use**: Creative writing, text generation, and experimentation  
+
+---
+
+## 📜 Overview  
+
+**Shakespeare-YQG** is a fine-tuned language model crafted to emulate the writing style of William Shakespeare. It generates creative and poetic texts, making it ideal for artistic projects, educational use, and entertaining exploration of Shakespearean language.  
+
+This model leverages cutting-edge natural language processing techniques to blend the charm of classical literature with modern text generation capabilities.  
+
+---
+
+## ✨ Features  
+
+- **Custom Fine-Tuning**: Inspired by the works of William Shakespeare.  
+- **User-Friendly**: Ready to use with Gradio interface and Hugging Face Spaces.  
+- **Interactive Demo**: Experience text generation live on Hugging Face.  
+
+---
+
+## 🚀 Usage  
+
+Here’s how to use the model in your Python project:  
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer  
+
+# Load the model and tokenizer
+tokenizer = AutoTokenizer.from_pretrained("NightPrince/Shakespeare-YQG")  
+model = AutoModelForCausalLM.from_pretrained("NightPrince/Shakespeare-YQG")  
+
+# Provide an input prompt
+prompt = "To be or not to be, that is"  
+inputs = tokenizer(prompt, return_tensors="pt")  
+
+# Generate text
+outputs = model.generate(inputs["input_ids"], max_length=50)  
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))  
 
-## Intended Use
-- **Primary Use Case**: Generate creative text in the style of William Shakespeare.
-- **Input**: A seed text provided by the user.
-- **Output**: A continuation of the seed text in Shakespearean style.
 
-## How to Use
-You can interact with the model through the Gradio interface available on the Hugging Face Space. Simply enter your seed text and specify the number of words you want to generate.
 
-## Training Data
-The model was trained on a dataset comprising the complete works of William Shakespeare. The text was preprocessed to tokenize and sequence the data for training.
+# 🌐 Interactive Demo
+Try the live demo of Shakespeare-YQG here:
 
-## Evaluation
-The model was evaluated based on its ability to generate coherent and stylistically accurate text. User feedback and qualitative analysis were used to assess performance.
+This demo allows you to generate text interactively using Gradio. You can input your own prompts, adjust parameters, and watch the magic unfold in Shakespearean language!
 
-## Limitations
-- The model may not always generate grammatically correct or meaningful text.
-- It is limited to the style and vocabulary present in the training data.
 
-## Future Work
-- Improve the model's ability to handle diverse input styles.
-- Expand the training dataset to include more varied literary works.
+# 📂 Dataset
+The model was trained on a carefully curated dataset consisting of Shakespeare’s works
+and similar Elizabethan-style texts.
+This ensures that the generated outputs stay true to the style and elegance of classical literature.
 
-## Acknowledgements
-This project was inspired by the rich literary heritage of William Shakespeare and aims to bring his style to modern text generation applications.
 
-## Contact
-For questions or feedback, please contact [Your Name] at [Your Email].