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PROJECT
Query CSV Files with Natural Language Using LangChain and Panel
In this project, we will learn to build a Panel application with LangChain, where users can query and analyze tabular datasets through natural language.
You will learn to:
Create a web application using HoloViz Panel.
Plot custom scatter plots using Plotly.
Work with CSV files.
Create DataFrame agents that analyze tabular data to answer queries in natural language.
Skills
Large Language Models (LLMs)
Natural Language Processing
API Integration
Data Visualization
Prerequisites
Intermediate programming skills with Python
Basic knowledge of working with large language models
Basic knowledge of LangChain framework
Technologies
Panel
OpenAI
Plotly
HoloViz
LangChain
Project Description
The LangChain library provides pandas DataFrame agents that can be used to analyze data in a CSV file. These agents work by using large language models such as GPT-3 to first logically deduce what is required, then use that information to write code that achieves the purpose using the LLM, and finally run the code to get an observation. This cycle can repeat several times until the required answer is achieved.
In this project, we will use the Python Panel library to create an interactive dashboard that can be used to analyze any CSV file that is uploaded to it. The following components will be available on the web page:
A file upload widget that can be used to upload any CSV file.
A chat box for interacting with the agent.
An interactive table that shows the data present in the CSV file.
A Plotly scatter plot that can be used to visualize relations between any two features with respect to the target class.
The complete dashboard can be seen in the figure below:
Project Tasks
1
Introduction
Task 0: Get Started
Task 1: Load the Libraries
2
The Panel Web Application
Task 2: The Initialization Method
Task 3: Load the Page Components
Task 4: Construct the Web Application's Frontend
Task 5: Create Custom Plots
Task 6: Upload New CSV File
Task 7: Run the Agent
Congratulations!
Relevant Courses
Use the following content to review prerequisites or explore specific concepts in detail.