history chatbot and a document question-answering chatbot

lib/chatbot_custom/README.md

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+# Alwrity RAG Chatbot
+
+### Overview
+
+The `alwrity_rag_chatbot.py` module combines functionalities of both a history chatbot and a document question-answering chatbot, providing a comprehensive solution for engaging in conversation with AI and querying information from local documents.
+
+### Key Features
+
+- **History Chatbot**: Save and load past conversation history, allowing users to continue previous chats seamlessly.
+- **Document QA Chatbot**: Query information from local documents, PDFs, videos, and audio files using AI.
+- **Streamlit Integration**: A user-friendly interface to interact with the chatbot and manage chat histories.
+
+### Setup and Installation
+
+#### Prerequisites
+
+- Python 3.6 or higher
+- Required packages: `streamlit`, `joblib`, `google.generativeai`, `dotenv`, `llama_index`, `openai`
+
+#### Installation
+
+1. Clone the repository:
+    ```bash
+    git clone https://github.com/AJaySi/AI-Writer.git
+    cd AI-Writer
+    ```
+
+2. Install dependencies:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+### Usage
+
+To run the combined chatbot module, execute the following command:
+
+```bash
+streamlit run lib/chatbot_custom/alwrity_rag_chatbot.py
+```
+
+#### Modes of Operation
+
+1. **History Chatbot**: 
+   - This mode allows users to save and load previous chat sessions.
+   - The chatbot will display past messages and handle new user inputs, streaming responses from AI.
+
+2. **Document QA Chatbot**: 
+   - This mode enables users to query information from various data sources (local docs, PDFs, videos, audio files).
+   - The chatbot will load and index documents, allowing users to ask questions and receive AI-generated responses.
+
+#### Example
+
+1. **History Chatbot Mode**:
+   - Run the app and select "History Chatbot" from the sidebar.
+   - Interact with the chatbot, and it will save the conversation history for future sessions.
+
+2. **Document QA Chatbot Mode**:
+   - Run the app and select "Document QA Chatbot" from the sidebar.
+   - Choose the data source (e.g., local docs, PDFs) and provide the necessary input (e.g., folder path).
+   - Ask questions, and the chatbot will provide responses based on the indexed documents.
+
+### Contributing
+
+We welcome contributions to enhance the functionalities of the `alwrity_rag_chatbot.py` module. To contribute, follow these steps:
+
+1. Fork the repository.
+2. Create a new branch (`git checkout -b feature-branch`).
+3. Make your changes and commit them (`git commit -m 'Add new feature'`).
+4. Push to the branch (`git push origin feature-branch`).
+5. Open a Pull Request.
+
+### License
+
+This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
+
+---
+
+For any issues or questions, feel free to open an issue on the [GitHub repository](https://github.com/AJaySi/AI-Writer/issues).
+
+Happy coding!