AnyChat is a powerful chatbot that allows you to interact with your documents (PDF, TXT, DOCX, ODT, PPTX, CSV, etc.) in a natural and conversational way. It leverages the capabilities of LangChain, Ollama, Groq, Gemini, and Streamlit to provide an intuitive and informative experience.

• Conversational Interaction: Ask questions about your documents and receive human-like responses from the chatbot.
• Multi-Document Support: Upload and process various document formats, including PDFs, text files, Word documents, spreadsheets, and presentations.
• Website-Chat Support: Chat with any valid website.
• Advanced Language Models: Choose from different language models (LLMs) like Ollama, Groq, and Gemini to power the chatbot's responses.
• Embedding Models: Select from Ollama Embeddings or GooglePalm Embeddings to enhance the chatbot's understanding of your documents.
• User-Friendly Interface: Streamlit provides a clean and intuitive interface for interacting with the chatbot.

• Python 3.10 or higher
• A virtual environment (recommended)

Clone the AnyChat repository from GitHub:

git clone https://github.com/shitan198u/AnyChat.git

cd Anychat

1. Install the Rye package manager: Installation Guide

2. Sync the project:

rye sync

1. Create a virtual environment:

python -m venv anychat-env

2. Activate the virtual environment:

source anychat-env/bin/activate

3. Install the required dependencies:

pip install -r requirements.txt

1. Create a conda environment:

conda create -n anychat-env python=3.12

2. Activate the conda environment:

conda activate anychat-env

3. Install the required dependencies:

conda install --file requirements.txt

• Rename the secrets_example.toml file to secrets.toml in the src/anychat/.streamlit/ directory.

To use Ollama for AnyChat, you need to install Ollama and download the necessary models. Follow the instructions below:

1. Install Ollama:

Visit the official Ollama website for installation instructions: Ollama Download

2. Download Ollama Models:

Open your terminal and run the following commands to download the required models:

ollama pull nomic-embed-text

This command downloads the nomic-embed-text model, which is necessary for running Ollama embeddings.

ollama pull openchat

This command downloads the openchat model, which you can use as a language model in AnyChat.

1. Set API Keys:

• If you're using Google Gemini or Groq, obtain the necessary API keys and store them securely in the src/anychat/.streamlit/secrets.toml file or Upload them in the chatbot interface.

2. Run the Application:

cd src/anychat
streamlit run chatbot.py

3. Using Rye

cd src/anychat
rye run streamlit run chatbot.py

4. Upload Documents:

• In the Streamlit interface, upload the documents you want to chat with.
• Click the "Process" button to process the documents.

5. Start Chatting:

• Once the documents are processed, you can start asking questions in the chat input field.
• The chatbot will analyze your documents and provide relevant answers based on their content.

This project is licensed under the MIT License. See the LICENSE file for details.

• For optimal performance, ensure you have the necessary resources (CPU, RAM) to handle the document processing and LLM computations.
• The chatbot's accuracy and responsiveness may vary depending on the complexity of your documents and the chosen LLM.
• Consider using a GPU-enabled environment if you have access to one, as it can significantly speed up the processing.