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https://github.com/extrawest/youtube_and_website_ai_summarizer

LangChain: Summarize Text From YT or Website Showcase
https://github.com/extrawest/youtube_and_website_ai_summarizer

ai chatbot gemma gemma-7b-it groq groq-api langchain python streamlit summarization

Last synced: 18 days ago
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LangChain: Summarize Text From YT or Website Showcase

Host: GitHub
URL: https://github.com/extrawest/youtube_and_website_ai_summarizer
Owner: extrawest
Created: 2024-11-13T11:58:50.000Z (about 1 month ago)
Default Branch: main
Last Pushed: 2024-11-13T13:47:03.000Z (about 1 month ago)
Last Synced: 2024-12-02T18:00:07.038Z (19 days ago)
Topics: ai, chatbot, gemma, gemma-7b-it, groq, groq-api, langchain, python, streamlit, summarization
Language: Python
Homepage: https://text-yt-summarization-langchain-demo.streamlit.app/
Size: 5.86 KB
Stars: 1
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        #  LangChain: Summarize Text From YT or Website Showcase

[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)]()

[![Maintaner](https://img.shields.io/static/v1?label=Andriy%20Gulak&message=Maintainer&color=red)](mailto:[email protected])

[![Ask Me Anything !](https://img.shields.io/badge/Ask%20me-anything-1abc9c.svg)](https://github.com/extrawest/youtube_and_website_ai_summarizer/issues)

[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

[![View DEMO](https://img.shields.io/badge/VIEW-DEMO-lightgreen.svg)](https://text-yt-summarization-langchain-demo.streamlit.app)

## PROJECT INFO

- **Langchain Python AI Chatbot**

- Streamlit for interactive app and slick UI

- **YouTube transcript summarization capabilities. Works with Llama3-8b via Groq API**

## Features

- Langchain AI Chatbot Agent that can search the web

- Gemma-7b-It via Groq API

- Streamlit for interactive data fullstack apps

## Demo

https://text-yt-summarization-langchain-demo.streamlit.app/ 

## Installing:

**1. Clone this repo to your folder:**

```

git clone THIS REPO

```

**2. Create a virtual environment**

**3. Install the dependencies**

```

pip install -r requirements.txt

```

**3. Run the app**

```

streamlit run app.py

```

[Extrawest.com](https://www.extrawest.com), 2024