https://github.com/mrgeislinger/whatd-i-miss
Work done on 2023 Anthropic AI Hackathon from lablab: https://lablab.ai/event/anthropic-ai-hackathon
https://github.com/mrgeislinger/whatd-i-miss
anthropic-claude generative-ai hackathon video youtube
Last synced: 4 months ago
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Work done on 2023 Anthropic AI Hackathon from lablab: https://lablab.ai/event/anthropic-ai-hackathon
- Host: GitHub
- URL: https://github.com/mrgeislinger/whatd-i-miss
- Owner: MrGeislinger
- Created: 2023-05-27T05:29:35.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-30T00:12:07.000Z (about 1 year ago)
- Last Synced: 2024-04-30T01:28:57.873Z (about 1 year ago)
- Topics: anthropic-claude, generative-ai, hackathon, video, youtube
- Language: Python
- Homepage: https://whatd-i-miss.streamlit.app/
- Size: 92.8 KB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 5
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Metadata Files:
- Readme: README.md
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README
# Anthropic AI Hackathon 2023
> Project for 2023 Anthropic AI Hackathon from lablab: https://lablab.ai/event/anthropic-ai-hackathon
# Demo
Demo is live! [https://whatd-i-miss.streamlit.app/](https://whatd-i-miss.streamlit.app/)
> Note that the Streamlit instance probably has to be woken up
Though the supplied Antrhopic API Key can only handle one request at a time. Consider [supplying your own](https://www.anthropic.com/earlyaccess)
# Setup
Current version should be able to be run out of the box (get's precomputed parts via GitHub's releases). Should be simple enough to follow these directions:
1. Clone Repo: `git clone [email protected]:MrGeislinger/anthropic-ai-hackathon-2023.git`
2. (Optional) Create an environment (like conda: `conda create --name wim python=3.11)
- Note I used `python 3.11` other recent versions might work but can't guarantee...
3. Install requirements: `pip install -r requirements.txt`
4. Run app: `streamlit run app.py`
5. Enjoy! (`localhost:8501`)
## Loading Config Example
For a simple example data config file, see `config.json` from [v0.1.1](https://github.com/MrGeislinger/anthropic-ai-hackathon-2023/releases/tag/v0.1.1). Simply download file to workspace to use in deployed Streamlit app.
## Creating Your Own transcripts from Audio
Associated repo to create transcripts for this tool from a set of videos on YouTube playlist: https://github.com/MrGeislinger/whisper-extract
Repo will be updated periodically indpendent from this project.
I suggest using the `small` model first since larger models can take a significant amount of time.