HistoryVerse-Chatbot: Your Powerful AI Chat Assistant

Harnessing the power of the Google Gemini API, HistoryVerse-Chatbot brings you a versatile and customizable AI assistant.

Features:

1. Chat with Your Data: Interact directly with your own documents and files.
2. Chat with Images: Ask questions about images you provide.
3. Voice Recognition: Speak your questions and receive spoken responses.
4. Generate Answers from the Internet: Get answers to your questions by tapping into the vast knowledge of the web.
   • Customization: Modify the prompt used for internet searches to tailor the type of responses you receive. Control the scope and style of the answers by providing specific instructions.
5. Chat with Memory: The chatbot can remember past interactions, making conversations more natural and engaging.

Running the Project:

1. Clone the Repository: Use git to clone the repository: git clone https://github.com/PHD-Team/HistoryVerse-Chatbot.git

2. Virtual Environment: Create and activate a new virtual environment with Python 3.10.0 (or a compatible version).

3. Install Dependencies: Install all required packages using pip: python -m pip install -r requirements.txt

4. Google API Key:

   • Obtain your Google API key from [https://ai.google.dev/].
   • Store the key in a .env file within the project directory.

5. OpenAI API Key (for Voice Recognition):

   • Obtain your OpenAI API key from [https://platform.openai.com/account/api-keys].
   • Store the key in a constants.py file within the project directory.
   • Inside constants.py, replacing put your openai api key with your actual key.

6. Data Ingestion:

   • Place your data files (documents, text, etc.) in the SOURCE_DOCUMENTS folder.
   • You can organize multiple folders within SOURCE_DOCUMENTS, and the code will recursively read all files.
   • To ingest your data, run the command: python ingest.py

7. Chatting with Your Data: To interact with your uploaded data only, run: python gemini_data_chat.py

8. Chatting with the Internet (with Customization):

   • To use the internet for answers and customize the type of questions it can handle, run: python gemini.py
   • Customization: The prompt used to query the internet can be adjusted in the gemini.py file.
   • By modifying the prompt string, you can provide context, instructions, or limitations to the AI, ensuring it answers questions within your desired scope.