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fabsta/structured_output_extractor

sourceHugging Faceupdated 2y agoView on Hugging Face
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App README

Setup

Run the commands below on your local machine.

commandline
git clone https://github.com/AnswerDotAI/fh-deploy.git
cd huggingface
pip install -r requirements.txt

Run the app locally

commandline
python main.py

Deploying to HuggingFace

  1. 1.Create a Huggingface account.
  2. 2.Go to your account settings and create an access token with write access. Keep this token safe and don't share it.
  3. 3.Create a HF_TOKEN environment variable (e.g. run export HF_TOKEN=YOUR_API_TOKEN).
  4. 4.HuggingFace Spaces are configured using a YAML block at the top of the app's README.md. To configure the HuggingFace Space for your app, add the YAML below to the top of THIS README.md file.
yaml
---
title: FastHTML on HuggingFace!
emoji: 🤗
colorFrom: indigo
colorTo: green
sdk: docker
pinned: false
---
  1. 1.Run fh_hf_deploy NAME_OF_YOUR_APP

Note:

  • —By default, your app will be public. To create a private app use --private true when running fh_hf_deploy.
  • —For more information on how your app is being deployed on HuggingFace visit the fasthtml-hf repo
fabsta/structured_output_extractor · Team Ai