The following steps need to be completed to use the Reflex LLM Examples project:
- environmental preparation: Ensure that the Python environment is installed on the system (version 3.8+ recommended)
- Get Code: Cloning project repositories via git
git clone https://github.com/reflex-dev/reflex-llm-examples.git - Installation of dependencies: Go to the project directory and install the required packages
pip install -r requirements.txt - Select Module: Selection of specific functional modules (e.g. AI agent or PDF interaction) according to requirements
- Configuration runs: Start the application after modifying the corresponding configuration file
The project provides detailed instructions on how to use it. For example, to start the PDF Interactive function, simply run thepython chat_with_pdf_locally.pycommands , and then through the graphical interface you can upload and query PDF documents . All modules are similarly simple to call, greatly reducing the threshold of use.
This answer comes from the articleReflex LLM Examples: a collection of AI applications demonstrating practical applications of large language modelsThe
May not be reproduced without permission:AI productivity tools " How to get started quickly with the Reflex LLM Examples program?
