This project automates research on a given topic using Spark AI and DuckDuckGo Search。"It generates a mind map, conducts searches, summarizes findings, and organizes results into separate files for easy analysis.This tool helps streamline research, saves time, and provides a structured approach to information gathering Detailed Information: This is where you provide a comprehensive overview of your project. Include sections like: Introduction: Briefly explain the project's goals and functionality. Features: List the key features and capabilities of the tool. Installation: Provide step-by-step instructions on how to install the necessary libraries and set up the project. Usage: Explain how to use the script, including input parameters and expected output. Examples: Include example usage scenarios to illustrate how the tool works. Contributing: Encourage contributions and provide guidelines for potential contributors. License: Specify the license under which your project is distributed. Additional Tips: Code Comments: Add clear and concise comments within your code to explain the logic and purpose of different sections. Screenshots or GIFs: Include visuals to demonstrate the tool's functionality and output. Keywords: Use relevant keywords in your repository description and README to improve discoverability. Regular Updates: Keep your repository updated with bug fixes, new features, and improved documentation. Example README.md Section (Installation):
- Install required libraries:
pip install sparkai langchain_community rich requests
Replace Placeholders: Replace "你的 App ID", "你的 API Secret", and "你的 API Key" with your actual Spark AI credentials.
By following these guidelines, you can create a well-organized and informative GitHub repository that effectively showcases your research automation project. Remember to tailor the information to your specific project and audience.
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