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-# 🦅 Falcon-7B Instruct Chatbot
-
-This project is a simple conversational chatbot built using the **[Falcon-7B-Instruct](https://huggingface.co/tiiuae/falcon-7b-instruct)** model from Hugging Face. It uses **Transformers**, **Gradio**, and **PyTorch** to create a web interface for interacting with the model in real-time.
-
----
-
-## 🚀 Features
-
-- Open-access LLM: No API keys or approvals needed
-- Real-time interaction using Gradio
-- Clean UI with chat history
-- Easy to run locally or on cloud platforms like Google Colab or Hugging Face Spaces
-
----
-
-## 🛠️ Installation
-
-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
-