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+# 🤖 Samsung Manual Chatbot
+
+A chatbot built with **LangChain**, **Gradio**, and **Hugging Face Transformers** that allows you to interact with the **Samsung Manual**.  
+It uses embeddings + ChromaDB for retrieval and a conversational chain for contextual Q&A.
+
+---
+
+## 📂 Project Structure
+
+LLM_chatbot2/
+│── chroma_db/ # Persistent Chroma vector database
+│── temp_docs/ # Store documents (Samsung manual here)
+│── app.py # Main Gradio app
+│── requirements.txt # Dependencies
+│── README.md # Project documentation
+│── .gitattributes
+
+markdown
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+
+---
+
+## ⚙️ Features
+
+- 📄 **Document Loading** – Loads and processes the Samsung manual (`temp_docs/samsung_manual.txt`).
+- ✂️ **Chunking** – Splits the document into manageable chunks for embeddings.
+- 🧠 **Embeddings** – Uses `sentence-transformers/all-MiniLM-L6-v2` for semantic search.
+- 💾 **Vector Database** – Stores embeddings in **ChromaDB** for retrieval.
+- 🔄 **Conversational Memory** – Maintains chat context with `ConversationBufferMemory`.
+- 🗣️ **LLM Response** – Powered by `google/flan-t5-base` via Hugging Face pipeline.
+- 🎨 **Gradio UI** – Simple chat interface for interacting with the chatbot.
+
+---
+
+## 📦 Installation
+
+Clone the repository and install dependencies:
+
+```bash
+git clone https://github.com/your-username/LLM_chatbot2.git
+cd LLM_chatbot2
+pip install -r requirements.txt
+▶️ Running the App
+Make sure you have the Samsung manual text file at temp_docs/samsung_manual.txt.
+
+Then run:
+
+bash
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+python app.py
+Gradio will launch a local server. Open the link shown in the terminal (usually http://127.0.0.1:7860) to interact with the chatbot.
+
+📝 Requirements
+Dependencies are listed in requirements.txt:
+
+nginx
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+pypdf
+gradio
+langchain
+chromadb
+sentence-transformers
+transformers
+torch
+🚀 Usage
+Place your document inside temp_docs/ (default: samsung_manual.txt).
+
+Run the app.
+
+Ask natural language questions like:
+
+"How do I reset my Samsung washing machine?"
+
+"Explain the safety precautions in the manual."
+
+The chatbot retrieves relevant chunks from the document and answers conversationally.
+
+🛠️ Customization
+Change the document: Replace temp_docs/samsung_manual.txt with any .txt file.
+
+Switch embeddings: Modify MODEL_NAME_EMBEDDINGS in app.py.
+
+Try different LLMs: Update MODEL_ID_LLM to another Hugging Face model.
+
+📜 License
+This project is open-source under the MIT License.
+
+yaml
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+
+---
+
+Do you want me to also **add example screenshots of the Gradio UI** in the README (like showing how a query/response looks), or keep it text-only?
+
+
+
+
+
+