https://github.com/blacklionxd/lecturesummarizer

LectureSummarizer is an AI-powered website that transcribes and summarizes lectures. It uses OpenAI Whisper for accurate speech-to-text and Llama 2 for concise summaries. With an easy-to-use Gradio interface, it helps students capture and review key lecture points efficiently.
https://github.com/blacklionxd/lecturesummarizer

generative-ai-projects gradio llama2 openai-whisper torch

Last synced: about 17 hours ago
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LectureSummarizer is an AI-powered website that transcribes and summarizes lectures. It uses OpenAI Whisper for accurate speech-to-text and Llama 2 for concise summaries. With an easy-to-use Gradio interface, it helps students capture and review key lecture points efficiently.

• Host: GitHub
• URL: https://github.com/blacklionxd/lecturesummarizer
• Owner: BlackLionXD
• License: apache-2.0
• Created: 2024-07-20T11:50:54.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-07-30T19:57:12.000Z (5 months ago)
• Last Synced: 2024-10-30T00:52:01.533Z (about 2 months ago)
• Topics: generative-ai-projects, gradio, llama2, openai-whisper, torch
• Language: Python
• Homepage:
• Size: 255 KB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# LectureSummarizer-AI-based-student-assistant

LectureSummarizer is an AI-powered tool that transcribes and summarizes lectures. It uses OpenAI Whisper for accurate speech-to-text and Llama 2 for concise summaries. With an easy-to-use Gradio interface, it helps students capture and review key lecture points efficiently.

# Steps

- clone the project: git clone https://github.com/BlackLionXD/LectureSummarizer.git

- create & activate a virtual environment: python -m venv your_env_name, ./your_env_name/Scripts/activate 

- install requirements.txt file: pip install -r requirements.txt

- update the code by creating llama2 creadintial online for free: go to 'https://llama.meta.com/llama2/' create a credintal key.

- run the project : python main.py

# Screenshots:

![Screenshot of the project](screenshot.png)