Build a Weather App with Python Streamlit, LangChain, and OpenAI GPT | Step-by-Step Tutorial

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🌦️ Want to create your own weather app with a twist? In this tutorial, we'll show you how to build a dynamic and interactive weather application using Python, Streamlit, LangChain, and the power of OpenAI's GPT model. 🌐

🔥 Whether you're a beginner or an experienced developer, we'll guide you through every step of the process, making it easy for you to follow along and create your own personalized weather app.

📋 What you'll learn in this tutorial:
1️⃣ Setting up your development environment
2️⃣ Collecting real-time weather data
3️⃣ Creating a user-friendly interface with Streamlit
4️⃣ Leveraging LangChain to enhance your weather app
5️⃣ Integrating OpenAI's GPT model for natural language interactions

🚀 By the end of this video, you'll have a fully functional weather app that not only provides accurate weather information but also allows users to have conversations with the AI, thanks to GPT!

📦 Download the code and resources:

🕒 Time Stamps:
00:00 - Introduction and Demo
02:40 - Creating Virtual Environment
04:55 - Installing Libraries(LangChain, Streamlit, OpenAI, python-decouple)
05:35 - DataForSeo With LangChain
07:00 - Setting Up Environment Variables
09:00 - Streamlit Chat UI
17:20 - Creating AI Functionality
20:50 - Prompt Engineering
22:15 - LangChain Expression Language (LCEL)
23:08 - Generating AI Response

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#Python #Streamlit #LangChain #OpenAI #GPT #WeatherApp #Tutorial #AI #Development #WebApp #WeatherForecast #Programming #Tech #codewithprince

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Thanks for watching, and let's get started on building your own Weather App with a twist! 🌟

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