Update README.md

README.md

@@ -1,16 +1,50 @@
 ---
-title: Veda Programming
-emoji: 💬
-colorFrom: yellow
-colorTo: purple
+title: Veda Programming LLM
+emoji: 🕉️
+colorFrom: purple
+colorTo: blue
 sdk: gradio
-sdk_version: 5.42.0
+sdk_version: 3.50.0
 app_file: app.py
 pinned: false
-hf_oauth: true
-hf_oauth_scopes:
-- inference-api
 license: mit
 ---
 
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+# 🕉️ Veda Programming LLM
+
+A TensorFlow-based Large Language Model for programming code generation.
+
+## Features
+
+- **Code Generation**: Generate Python code from prompts
+- **Custom Training**: Train on your own code samples
+- **Transformer Architecture**: Uses modern transformer blocks
+- **Interactive Interface**: Easy-to-use Gradio interface
+
+## Model Architecture
+
+- Transformer-based decoder architecture
+- Configurable model sizes (small/medium/large)
+- Causal attention masking for autoregressive generation
+- Custom tokenizer optimized for code
+
+## Usage
+
+1. **Generate Code**: Enter a code prompt and adjust generation parameters
+2. **Train Model**: Paste your code samples and train the model
+3. **View Model Info**: Check model architecture and parameters
+
+## Parameters
+
+- **Temperature**: Controls randomness (lower = more deterministic)
+- **Top-K**: Limits sampling to top K tokens
+- **Top-P**: Nucleus sampling threshold
+- **Max Tokens**: Maximum number of tokens to generate
+
+## Training Data
+
+The model can be trained on `programming.txt` containing Python code samples.
+
+## License
+
+MIT License