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AI Summarizer App LangChain, Python, Streamlit, OpenAI and Groq (PDF, CSV and Text Files)
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🚀 Let's build an AI Summarizer App with LangChain, Streamlit, OpenAI and Groq. Learn how to use Langchain's components to build AI-Powered Apps. We'll Document Loaders, Text Splitter, Parser and more to build multipel Chains! 🚀
🔑 What You’ll Learn:
✅ How to set up a simple, interactive UI with Streamlit.
✅ The basics of integrating AI models for real-world applications.
✅ How to create an expert summarizer app that can summarize small and larger files.
✅ Using AI prompt templates to structure intelligent responses.
✅ Use Document Loaders to load Text, CVS and PDF files.
✅ Split documents into chunks and summarize each chunk.
✅ Build chains to process the summaries.
🌍 Why This Tutorial?
This tutorial is designed for absolute beginners who want to explore the fascinating world of AI development. We’ll explain every concept in plain language, making it easy for you to follow along—even if you’re new to coding!
📥 Follow Along & Build Your Own App:
No prior experience? No problem! Just grab the code, follow the steps, and create your very own AI-powered summarizer app in no time. 🎉
🎯 Next Steps:
Watch the video and follow along.
Try building your own summarizer app and customize it further.
Hit the like button and subscribe for more beginner-friendly AI tutorials!
🚀 Let’s build something amazing together!
👉 Try it out now and let me know your thoughts in the comments!
Don’t forget to Like, Subscribe, and hit the Bell Icon 🔔 for more exciting projects!
🎉 Connect with me:
Chapters
0:00 Intro
2:42 Getting Started
4:22 Setting Up Environment
8:48 App UI
13:39 Reading File
18:07 Document Loaders
24:28 Text Splitter
13:41 LLMs
34:31 ChatPromptTemplate
35:00 StringOutput Parser
40:57 Chain
46:52 Chunks Summarization
57:45 Final Summary
1:07:20 Large PDF File Summary
1:21:10 Download Summary
1:24:44 Review
📂 Source Code:
Find the complete code on my GitHub:
You can find all files and documentation on this repo.
#Streamlit #AI #Chatbot #Groq #Python #AITutorial #BeginnerCoding #LangChain #AITranslatorApp #OpenAI #ChatGPT #DocumentLoader
🔑 What You’ll Learn:
✅ How to set up a simple, interactive UI with Streamlit.
✅ The basics of integrating AI models for real-world applications.
✅ How to create an expert summarizer app that can summarize small and larger files.
✅ Using AI prompt templates to structure intelligent responses.
✅ Use Document Loaders to load Text, CVS and PDF files.
✅ Split documents into chunks and summarize each chunk.
✅ Build chains to process the summaries.
🌍 Why This Tutorial?
This tutorial is designed for absolute beginners who want to explore the fascinating world of AI development. We’ll explain every concept in plain language, making it easy for you to follow along—even if you’re new to coding!
📥 Follow Along & Build Your Own App:
No prior experience? No problem! Just grab the code, follow the steps, and create your very own AI-powered summarizer app in no time. 🎉
🎯 Next Steps:
Watch the video and follow along.
Try building your own summarizer app and customize it further.
Hit the like button and subscribe for more beginner-friendly AI tutorials!
🚀 Let’s build something amazing together!
👉 Try it out now and let me know your thoughts in the comments!
Don’t forget to Like, Subscribe, and hit the Bell Icon 🔔 for more exciting projects!
🎉 Connect with me:
Chapters
0:00 Intro
2:42 Getting Started
4:22 Setting Up Environment
8:48 App UI
13:39 Reading File
18:07 Document Loaders
24:28 Text Splitter
13:41 LLMs
34:31 ChatPromptTemplate
35:00 StringOutput Parser
40:57 Chain
46:52 Chunks Summarization
57:45 Final Summary
1:07:20 Large PDF File Summary
1:21:10 Download Summary
1:24:44 Review
📂 Source Code:
Find the complete code on my GitHub:
You can find all files and documentation on this repo.
#Streamlit #AI #Chatbot #Groq #Python #AITutorial #BeginnerCoding #LangChain #AITranslatorApp #OpenAI #ChatGPT #DocumentLoader
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