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fix readme

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  1. README.md +14 -27
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- # TextDescriptives Demo
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-
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- A streamlit dashboard for extracting text metrics with TextDescriptives.
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-
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-
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- ## TODO
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-
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- [ ] Add license
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-
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- [ ] Host on huggingface / streamlit cloud
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-
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- [ ] Change default text in text box to something lighter :-)
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-
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- [ ] Ensure environment.yaml works - currently just added stuff manually. When it works, perhaps update installation notes below.
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-
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- [ ] Ensure models are pre-downloaded to speed up inference
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-
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- [ ] When supporting the transformer models, we should pre-install the dependencies to avoid it happening at runtime.
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-
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- ## Installation
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-
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- ```shell
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- conda create --name textdesc python==3.11
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- pip install textdescriptives streamlit watchdog
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- streamlit main.py
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- ```
 
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+ ---
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+ title: Textdescriptives
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+ emoji: 📈
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+ colorFrom: green
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+ colorTo: red
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+ sdk: streamlit
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+ sdk_version: 1.19.0
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+ app_file: app.py
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+ pinned: false
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+ license: apache-2.0
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+ tags: [NLP, feature extraction]
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+ ---
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+
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+ Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference