Welcome to the world of ChatWeb, a versatile tool designed to crawl web pages or extract text from various document formats like PDF, DOCX, and TXT, and provide you with a summarized version of the content. It can even answer questions based on the extracted text, thanks to the advanced GPT-3.5 technology. In this article, we’ll walk you through the installation process, usage, and troubleshooting tips to enhance your experience with ChatWeb.

Basic Principle of ChatWeb

The functionality of ChatWeb can be compared to a highly efficient librarian. Imagine walking into a library with a massive collection of books, where every book is organized by genre and author. Whenever you have a question or need a specific piece of information, the librarian swiftly scans through the library, finds the relevant books, extracts important text, and summarizes it for you in no time, ensuring that you get the exact answer without sifting through the entire collection.

Here’s how ChatWeb operates:

• Crawls web pages or extracts text from supported documents.
• Generates vectors for each paragraph using the GPT-3.5 embedding API to understand the context.
• Calculates similarity scores to summarize the text.
• Stores vector-text mapping in a vector database for efficient retrieval.
• Processes user queries and returns relevant answers using the chat API.

Getting Started with ChatWeb

To start using ChatWeb, follow the steps below based on your preferred installation method:

Manual Installation

1. Install Python3 on your machine.
2. Clone the repository: git clone https://github.com/SkywalkerDarren/chatWeb.git
3. Navigate to the directory: cd chatWeb
4. Copy the example configuration file: cp config.example.json config.json
5. Edit config.json and add your OpenAI API key.
6. Install the necessary dependencies: pip3 install -r requirements.txt
7. Start the application: python3 main.py

Using Docker

If you prefer using Docker, follow these steps:

1. Build the Docker container: docker-compose build
2. Copy the example configuration: cp config.example.json config.json
3. If needed, set the OpenAI key.
4. Run the container: docker-compose up
5. Open the application in your browser at http://localhost:7860.

Configuration Settings

You can customize your ChatWeb experience by editing the config.json file according to your preferences:

• Set language options.
• Select modes such as console, API, or web UI.
• Adjust the temperature for responses (0 for stable, 1 for creative).
• Optional: Enable PostgreSQL for enhanced text storage.

Troubleshooting Common Issues

If you encounter any issues while using ChatWeb, here are some troubleshooting ideas:

• Make sure Python 3 is installed correctly and is accessible via your command line.
• Check that your OpenAI API key is correctly entered in the config.json file.
• If using Docker, ensure that the container is running and ports are correctly mapped.
• For Windows users, ensure that the command line has the necessary permissions to execute the commands.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Now you’re all set to dive into the world of ChatWeb. Whether you’re summarizing extensive documents or extracting key information from web pages, ChatWeb is here to assist you efficiently!