Update readme.md

readme.md

@@ -19,3 +19,158 @@ Make sure Python 3.8+ is installed.
 
 ```bash
 pip install transformers torch gradio
+
+
+
+# 🦅 Falcon-7B Instruct Chatbot using Hugging Face & Gradio
+
+This project implements an AI-powered chatbot using the open-access **Falcon-7B-Instruct** model. Built with 🤗 Hugging Face Transformers and 🚀 Gradio, this chatbot can understand and respond to a wide variety of instructions and questions.
+
+---
+
+## 📌 Table of Contents
+
+- [Features](#-features)
+- [Demo](#-demo)
+- [Model Details](#-model-details)
+- [Installation](#-installation)
+- [Usage](#-usage)
+- [File Structure](#-file-structure)
+- [Requirements](#-requirements)
+- [Deployment](#-deployment)
+- [Limitations](#-limitations)
+- [License](#-license)
+- [Author](#-author)
+
+---
+
+## 🚀 Features
+
+✅ Instruction-following chatbot  
+✅ Built using Falcon-7B-Instruct from Hugging Face  
+✅ Runs locally with Gradio interface  
+✅ Clean and minimal chat UI  
+✅ No API key or login required
+
+---
+
+## 🎥 Demo
+
+![Chatbot Demo](https://user-images.githubusercontent.com/your-demo-image.gif)  
+*You can enter any question or instruction in the textbox and the model will reply.*
+
+---
+
+## 🧠 Model Details
+
+- **Model**: [`tiiuae/falcon-7b-instruct`](https://huggingface.co/tiiuae/falcon-7b-instruct)
+- **Type**: Transformer-based language model
+- **Size**: 7 Billion parameters
+- **Tuned for**: Instruction-following and helpful conversational behavior
+- **License**: Apache 2.0
+
+> ⚠️ Requires GPU for smooth performance
+
+---
+
+## 💻 Installation
+
+### 1. Clone the repository
+
+```bash
+git clone https://github.com/yourusername/falcon-chatbot.git
+cd falcon-chatbot
+
+
+Or manually:
+
+bash
+Copy
+Edit
+pip install transformers torch gradio
+▶️ Usage
+1. Run the chatbot
+bash
+Copy
+Edit
+python app.py
+2. Open in browser
+Visit http://127.0.0.1:7860 to chat.
+
+📁 File Structure
+bash
+Copy
+Edit
+falcon-chatbot/
+├── app.py              # Main app with Gradio interface
+├── README.md           # Project documentation
+├── requirements.txt    # Python dependencies
+📝 Code Overview (app.py)
+python
+Copy
+Edit
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+model_name = "tiiuae/falcon-7b-instruct"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", trust_remote_code=True)
+
+chat_pipeline = pipeline("text-generation", model=model, tokenizer=tokenizer, max_new_tokens=200)
+
+def chat(user_input, history=[]):
+    prompt = f"User: {user_input}\nAssistant:"
+    result = chat_pipeline(prompt)[0]["generated_text"]
+    response = result.split("Assistant:")[-1].strip()
+    history.append((user_input, response))
+    return history, history
+
+interface = gr.ChatInterface(
+    fn=chat,
+    chatbot=gr.Chatbot(),
+    textbox=gr.Textbox(placeholder="Ask a question..."),
+    title="🗣️ Falcon 7B Chatbot",
+    description="Chat with an open-source LLM using Falcon-7B-Instruct model."
+)
+
+interface.launch()
+📦 Requirements
+text
+Copy
+Edit
+transformers
+torch
+gradio
+Save as requirements.txt.
+
+🚀 Deployment Options
+✅ Local
+Run with python app.py
+
+✅ Hugging Face Spaces
+Upload app.py, requirements.txt, and README.md
+
+Choose Gradio SDK
+
+✅ Google Colab
+Add the same code into a Colab notebook and run with GPU runtime.
+
+⚠️ Limitations
+Works best on machines with GPU (>=16GB VRAM)
+
+May be slow on CPU
+
+Limited to English conversation and general instructions
+
+Not fine-tuned for safety or moderation
+
+📜 License
+This project is licensed under the Apache 2.0 License.
+The Falcon-7B-Instruct model also follows the Apache-2.0 license.
+
+👩‍💻 Author
+Dr. Shailja Pandit
+AI Consultant & Trainer
+📧 [your-email@example.com]
+🔗 LinkedIn | Website
+