Update app.py

src/text_content.py

@@ -29,64 +29,9 @@ You can also explore:
 
 
 SUBMISSION_TEXT = """
-<h1 align="center">
-How to submit models/results to the leaderboard?
-</h1>
-We welcome the community to submit evaluation results of new models. We also provide an experiental feature for submitting models that our team will evaluate on the 🤗 cluster.
-
-## Submitting Models (experimental feature)
-Inspired from the Open LLM Leaderboard, we welcome code models submission from the community that will be automatically evaluated. Please note that this is still an experimental feature.
-Below are some guidlines to follow before submitting your model:
-
-#### 1) Make sure you can load your model and tokenizer using AutoClasses:
-```python
-from transformers import AutoConfig, AutoModel, AutoTokenizer
-config = AutoConfig.from_pretrained("your model name", revision=revision)
-model = AutoModel.from_pretrained("your model name", revision=revision)
-tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
-```
-If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
-Note: make sure your model is public!
-Note: if your model needs `use_remote_code=True`, we do not support this option yet.
-#### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
-It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
-#### 3) Make sure your model has an open license!
-This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
-#### 4) Fill up your model card
-When we add extra information about models to the leaderboard, it will be automatically taken from the model card.
 """
 
 SUBMISSION_TEXT_2 = """
-## Sumbitting Results
-You also have the option for running evaluation yourself and submitting results. These results will be added as non-verified, the authors are however required to upload their generations in case other members want to check.
-
-### 1 - Running Evaluation
-
-We wrote a detailed guide for running the evaluation on your model. You can find the it in [bigcode-evaluation-harness/leaderboard](https://github.com/bigcode-project/bigcode-evaluation-harness/tree/main/leaderboard). This will generate a json file summarizing the results, in addition to the raw generations and metric files.
-
-### 2- Submitting Results 🚀
-
-To submit your results create a **Pull Request** in the community tab to add them under the [folder](https://huggingface.co/spaces/bigcode/multilingual-code-evals/tree/main/community_results) `community_results` in this repository:
-- Create a folder called `ORG_MODELNAME_USERNAME` for example `bigcode_starcoder_loubnabnl`
-- Put your json file with grouped scores from the guide, in addition generations folder and metrics folder in it.
-
-The title of the PR should be `[Community Submission] Model: org/model, Username: your_username`, replace org and model with those corresponding to the model you evaluated.
 """
 SUBMISSION_TEXT_3 = """
-<h1 align="center">
-How to submit models/results to the leaderboard?
-</h1>
-We welcome the community to submit evaluation results of new models. These results will be added as non-verified, the authors are however required to upload their generations in case other members want to check.
-
-### 1 - Running Evaluation
-
-We wrote a detailed guide for running the evaluation on your model. You can find the it in [bigcode-evaluation-harness/leaderboard](https://github.com/bigcode-project/bigcode-evaluation-harness/tree/main/leaderboard). This will generate a json file summarizing the results, in addition to the raw generations and metric files.
-
-### 2- Submitting Results 🚀
-
-To submit your results create a **Pull Request** in the community tab to add them under the [folder](https://huggingface.co/spaces/bigcode/multilingual-code-evals/tree/main/community_results) `community_results` in this repository:
-- Create a folder called `ORG_MODELNAME_USERNAME` for example `bigcode_starcoder_loubnabnl`
-- Put your json file with grouped scores from the guide, in addition generations folder and metrics folder in it.
-
-The title of the PR should be `[Community Submission] Model: org/model, Username: your_username`, replace org and model with those corresponding to the model you evaluated.
 """