Data Explorer Streamlit App w/ GenAI | LLaMA3 by Meta
🔗 Links
Github: https://github.com/curiositydataanaly...
In this video, we walk through building a data explorer app that uses generative AI to extract insights from a dataset. We’ll integrate the Groq API to create a conversational interface powered by Meta’s Llama3 model. The chatbot will have three core features — Ask, Aggregate and Create - which allow users to extract insights, summarize data, and generate visualizations using Plotly.
📝 Topics covered in this video:
Building a Streamlit app
Interacting with Groq API and Meta’s Llama3 model
Creating a chatbot with Streamlit's chat_input and chat_message functions
Implementing features for asking questions, aggregating data, and generating plots
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