Skip to content

Commit

Permalink
put config at bottom of readme
Browse files Browse the repository at this point in the history
  • Loading branch information
valentinbuc committed Mar 8, 2024
1 parent 1e5dbee commit 3bc13ec
Show file tree
Hide file tree
Showing 3 changed files with 17 additions and 176 deletions.
163 changes: 0 additions & 163 deletions Leaderboard.md

This file was deleted.

28 changes: 16 additions & 12 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,14 +1,3 @@
---
title: Genception Leaderboard
emoji: 🔥
colorFrom: red
colorTo: green
sdk: gradio
sdk_version: 4.19.2
app_file: app.py
pinned: true
---

# GenCeption: Evaluate Multimodal LLMs with Unlabeled Unimodal Data

<div>
Expand All @@ -33,7 +22,7 @@ We demostrate a 5-iteration GenCeption procedure below run on a seed images to e


## Contribute
Please add your model details and results to `leaderboard/leaderboard.json` and **create a PR (Pull-Request)** to contribute your results to the [🔥🏅️**Leaderboard**🏅️🔥](https://huggingface.co/spaces/). Start by creating your virtual environment:
Please add your model details and results to `leaderboard/leaderboard.json` and **create a PR (Pull-Request)** to contribute your results to the [🔥🏅️**Leaderboard**🏅️🔥](https://huggingface.co/spaces/valbuc/GenCeption). Start by creating your virtual environment:

```{bash}
conda create --name genception python=3.10 -y
Expand Down Expand Up @@ -64,3 +53,18 @@ The MME dataset, of which the image modality was used in our paper, can be obtai
primaryClass={cs.AI,cs.CL,cs.LG}
}
```

## HF Space config

Please dont be distracted by this content - it just configues the [🤗 Leaderboard](https://huggingface.co/spaces/valbuc/GenCeption).

---
title: Genception Leaderboard
emoji: 🔥
colorFrom: red
colorTo: green
sdk: gradio
sdk_version: 4.19.2
app_file: app.py
pinned: true
---
2 changes: 1 addition & 1 deletion app.py
Original file line number Diff line number Diff line change
Expand Up @@ -104,4 +104,4 @@ def update_display(show_all, df):
scheduler.add_job(update_data, "cron", hour=0) # Update data once a day at midnight
scheduler.start()

demo.queue(default_concurrency_limit=40).launch(share=True)
demo.queue(default_concurrency_limit=40).launch()

0 comments on commit 3bc13ec

Please sign in to comment.