The WebLINX Chatbot is an advanced conversational interface developed as a group project for COMP 545, which focuses on Natural Language Understanding with Deep Learning. This chatbot enhances human-computer interaction by enabling users to navigate and interact with websites through a conversational interface. Employing the latest advancements in NLP, our system allows users to execute web-based tasks such as clicking buttons, scrolling through pages, filling out forms, and seamlessly navigating across websites.
- Multi-Turn Dialogue: Engage in a dynamic conversation with the chatbot to perform tasks on the web.
- Advanced NLP Capabilities: Utilizes a fine-tuned LLaMA-2 7B model for understanding and processing user commands.
- Automated Web Interaction: Translates the model's structured output into Selenium-compatible actions.
- User-Friendly Interface: Streamlit-based front end for easy interaction with the chatbot.
- An Anaconda or Miniconda distribution of Python 3.9 or higher installed on your machine.
- Access to the internet to fetch dependencies and interact with remote APIs.
- Clone the Repository:
git clone https://github.com/yourusername/yourrepository.git
cd yourrepository
- Set Up Environment Variables:
Create a
.envfile in the project root and fill in the Hugging Face API endpoints:
API_URL_DMR="YOUR_DMR_API_KEY"
API_URL_ACTION="YOUR_ACTION_LLM_KEY"
- Create a Conda Environment:
conda create -n weblinx_chatbot python=3.9
conda activate weblinx_chatbot
- Install Dependencies:
pip install -r requirements.txt
To start the WebLINX Chatbot, run the following command in your terminal:
streamlit run main.py
Navigate to the provided local URL in your web browser to interact with the chatbot interface.
- Type your commands into the chat input box to interact with websites.
- Use the "Continue" command to proceed with actions or "Quit" to terminate the session.
- View the interaction history and web navigation results in real-time through the Streamlit interface.
- If you encounter issues with network connections or API limits, verify your
.envfile settings and ensure your network is stable. - For any unexpected behavior or errors, try restarting Streamlit or reactivating your Conda environment.