streamlit run gui.py 自动运行 如果你使用了自动安装脚本,那么可以执行下面的脚本来自动运行。 windows下,双击 start.bat mac或者linux下执行: bash start.sh 在日志文件中可以看到程序运行的日志信息。 里面有浏览器的地址,可以通过浏览器打开这个地址来访问程序。 打开之后,你会看到下面的界面: 左侧目前有三项配置...
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Most people start in a Jupyter Notebook. Expose to your end users via Slackbot, web app, Streamlit app, or a custom front end. Extending Vanna Vanna is designed to connect to any database, LLM, and vector database. There's a VannaBase abstract base class that defines some basic functio...
For requirements and the Streamlit Python code, see the the GitHub repository. Benchmarking Results Let's compare the outputs from directly asking the LLM vs using RAG with LLM. The LLM originally gives the following response: Diabetes is a serious health problem in Africa, where it affects ...
streamlit run Home.py Test real-time queries and batch queries using the Streamlit portal Open the Streamlit portal URL from the output of the preceding command in a browser and complete the following steps to test the application on the portal: Choose case ID...
Deep Learning MediaPipe Pose Estimation Streamlit This article aims to build an AI fitness trainer that can help you perform squats seamlessly, irrespective of whether you are a beginner or a pro. To achieve this task, we can harness the power of a deep learning based human pose estimation ...
In the main function, we calculate the stats of both Messi and Ronaldo and display them as a dataframe using streamlit.dataframegoals = [messi_events_data_df['goal'].sum(), ronaldo_events_data_df['goal'].sum()] assists = [messi_events_data_df['assist'].sum(), ronaldo_events_data_...
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In the last few years there have been more attempts at a fresh approach to statistical timeseries forecasting using the increasingly accessible tools of machine learning. This means methods like neural networks and extreme gradient boosting, as supple...
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