corrected readme.md

README.md

@@ -1 +1,48 @@
-# Assign12_ERAV3
+---
+title: "GPT Transformer Text Generator"
+emoji: "🤖"
+colorFrom: "blue"
+colorTo: "green"
+sdk: "gradio"
+sdk_version: "3.0.0"
+app_file: "app.py"
+pinned: false
+---
+
+# GPT Transformer Model
+
+This repository contains a GPT-like transformer model built using PyTorch for natural language generation. The model is based on the architecture introduced in GPT-2, which has been trained on a custom dataset for text generation.
+
+## Model Overview
+
+The model is a multi-layer transformer-based neural network, consisting of the following components:
+
+- **Causal Self-Attention:** A core component of the transformer that performs self-attention to process the input sequence.
+- **MLP (Feedforward Layer):** Applied to each block in the transformer, which helps the model to learn complex relationships.
+- **Layer Normalization:** Applied before each attention and feedforward layer to stabilize training.
+- **Embedding Layers:** Token embeddings for words and positional embeddings for the sequence.
+
+### Architecture
+- **Embedding Dimension (`n_embd`)**: 768
+- **Number of Attention Heads (`n_head`)**: 12
+- **Number of Layers (`n_layer`)**: 12
+- **Vocabulary Size (`vocab_size`)**: 50,257
+- **Max Sequence Length (`block_size`)**: 1024
+
+The model is trained for text generation and can be fine-tuned with custom data.
+
+## Requirements
+
+To run the model and perform inference, you will need the following dependencies:
+
+- Python 3.7+
+- PyTorch
+- Gradio
+- Transformers
+- Tokenizers (GPT-2)
+
+You can install the required libraries using:
+
+```bash
+pip install torch gradio transformers tiktoken
+