How to Build an Interactive Chatbot App with Groq's LLMs Using Streamlit | Step-by-Step Tutorial
Explore how to integrate Groq's large language models (LLMs) with a Streamlit interface to create an interactive chat application.
This video provides a step-by-step guide on setting up your environment, using Groq's API, and building a user-friendly interface to chat with different LLMs. Learn how to personalize the system prompt, choose from various models like Llama3 and Mixtral, and manage chat history effectively.
Perfect for developers looking to leverage powerful LLMs in their applications.
Topics Covered in the Video:
✨ Introduction to Interactive Chat with Groq's LLM
📚 Importing essential libraries including Streamlit and their applications
🔑 Obtaining and using the Groq API key
📊 Configuring and interacting with Groq's LLMs
💬 Personalizing system prompts and selecting LLM models (Llama3, Mixtral, Gemma)
🌐 Creating a web-based chat application with Streamlit
📝 Storing and managing the history of user queries and responses
📈 Displaying chat responses dynamically on the Streamlit interface
🔍 Exploring various features of the Groq API and its applications
🛠️ Step-by-step explanation of the script and its uses in building an interactive chat app
Time Stamps:
00:00 ✨ Introduction to ChatBot using the Groq Platform
00:20 📚 Overview and demonstration of the ChatBot application
02:15 🔑 Obtaining the Groq API Key
02:50 🔐 Creating a .env file to securely store the API key
03:20 💬 Developing the ChatBot with a script
08:50 📝 Setting up the chat history
12:30 🌐 Demonstrating the ChatBot application and its functionalities
13:55 🗨️ Using various prompts to interact with the LLM
16:50 🔍 Conclusion
Source Data & Script: https://github.com/AbhisheakSaraswat/...
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👉 Telegram Link: https://t.me/+32-TodtiOvo2Njk9
👉 LinkedIn: / abhisheak-saraswat
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