Chat & plot with excel files using LangChain & gpt-4o|Tutorial:94

Показать описание

**Title:** Chat and Plot with Your Excel File Using LangChain and GPT-4 Omni Model | Tutorial 94

**Description:**

Welcome back to the Total Technology Zone! In this tutorial, hosted by Ronnie, we explore how to create a Streamlit application that allows you to upload an Excel file, chat with it, and generate plots using LangChain and the GPT-4 Omni model. This comprehensive application enables both text-based interactions and chart generation from your data, offering a complete end-to-end solution.

**Tutorial Highlights:**

1. **Introduction:**
- Overview of the tutorial’s objective: creating a Streamlit app for chatting with and plotting Excel data.
- Explanation of the key features: text responses and chart generation.
- Importance of the application for real-world use cases.

2. **Project Setup:**
- Initialize the Streamlit application.
- Install necessary libraries: Streamlit, Pandas, LangChain, and PandasAI.

3. **Streamlit UI Development:**
- Create the UI for file upload.
- Set up title and file uploader component in Streamlit.

4. **Excel File Handling:**
- Read the uploaded Excel file using Pandas.
- Convert the Excel data into a Smart DataFrame using PandasAI.

5. **Chat Functionality:**
- Implement chat functionality to ask questions about the Excel data.
- Set up input area and response display for text-based interactions.

6. **Plotting Functionality:**
- Implement functionality to generate plots based on user instructions.
- Handle the creation and display of plots using Streamlit and PandasAI.

7. **Session Management:**
- Manage different sessions for chat and plotting.
- Clear previous plots before generating new ones to avoid conflicts.

8. **Error Handling:**
- Implement error handling for file uploads and data processing.
- Display appropriate messages for any errors encountered.

9. **Testing and Demonstration:**
- Demonstrate the application by uploading an Excel file.
- Show examples of chatting with the data and generating various plots.

10. **Conclusion and Next Steps:**
- Recap of the tutorial’s key points.
- Encourage viewers to try the application with their own Excel files.
- Request for feedback and suggestions for future tutorials.

**Source Code:**
- Access the source code on our [GitHub repository](#).

By the end of this tutorial, you'll be equipped with the skills to build an interactive application that combines data analysis and visualization using advanced AI models. This tutorial bridges the gap between data processing and user interaction, providing a robust solution for working with Excel files.

---

**Support the Channel:**

If you find our tutorials helpful, please consider subscribing to the Total Technology Zone channel. Your support helps us create more quality content and reach a larger audience. Don't forget to like, comment, and share our videos with your friends and colleagues. Stay updated by hitting the bell notification for future videos.

---

**Additional Resources:**
- Tutorial 93: Extract Information from PDF Tables
- Tutorial 92: Extracting Information from Multipage PDFs
- Upcoming Series: CREI, Autogen, Llama Index

**About the Host:**
Ronnie is dedicated to providing practical, use-case-driven tutorials to help you enhance your tech skills and tackle real-world challenges. Stay tuned for more insightful tutorials and advanced tech solutions!

Happy learning and see you in the next video!