AI-Ready Engineer Day 9 🎯 Build a GPT + RAG Web App with Streamlit — No Coding Headaches
✅ Today’s milestone is a big one! We've successfully deployed a working GPT + RAG CSV Analyzer Web App
This app lets you:
• Upload a CSV file (up to 200MB)
• Ask questions in plain English like “What is the total revenue in Q1?”
• Get instant AI-powered answers grounded in your uploaded data
🧠 Powered by:
• **OpenAI GPT** for natural language responses
• **LlamaIndex** for RAG (Retrieval Augmented Generation)
• **Streamlit Cloud** for easy deployment
🚀 Try It Live (No Installation Required)
Just go to 👉 https://www.instrovate.com/gpt-csv
Fill in your name + email, pass the captcha, and launch the demo.
📸 Here's a quick preview of what it looks like:
🛠 How We Built It (For Curious Minds)
We started from a basic Streamlit + Google Colab prototype in Day 7 & Day 8 of our AI Engineering Series.
Now, it’s live on the web — no Python setup, no ngrok, no Colab. - 👉 https://www.instrovate.com/gpt-csv - You just need to go to the link here , upload your csv file and ask your questions in the natural language.
Under the hood:
• Code hosted on GitHub
• OpenAI API Key stored securely using Streamlit Secrets
• Streamlit Cloud deploys and hosts the app at https://rag-csv-app.streamlit.app
• The app is embedded on our website
📚 Want to Build Your Own GPT App?
If you want to build something like this, go check out my paid **Day 7 & Day 8** posts on Substack — they explain:
• How to build the RAG CSV app from scratch
• How to use Colab, Streamlit, and LlamaIndex
• How to deploy and secure it with secrets and tokens
👉 Or just message me or drop me an email at support@instrovate.com if you want a custom GPT app built for your data!
🔗 Subscribe to follow the full series: https://instrovate.substack.com
Originally published on Substack
