Add description

README.md

@@ -1,9 +1,10 @@
 ---
-title: Gem Submission
-emoji: 🐠
+title: Gem Submissions
+emoji: 💎
 colorFrom: pink
 colorTo: indigo
 sdk: streamlit
+sdk_version: 1.0.0
 app_file: app.py
 pinned: false
 ---

app.py

@@ -45,7 +45,24 @@ def http_post(
     return response
 
 
-### Main application ###
+###########
+### APP ###
+###########
+st.title("GEM Submissions")
+st.markdown(
+    """
+Welcome to the [GEM benchmark](https://gem-benchmark.com/)! GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation, both through human annotations and automated Metrics.
+
+GEM aims to:
+
+- measure NLG progress across many NLG tasks across languages.
+- audit data and models and present results via data cards and model robustness reports.
+- develop standards for evaluation of generated text using both automated and human metrics.
+
+Use this page to submit your predcitions to the benchmark.
+"""
+)
+
 with st.form(key="form"):
     # Flush local repo
     shutil.rmtree(LOCAL_REPO, ignore_errors=True)
@@ -78,8 +95,10 @@ with st.form(key="form"):
         In this case, `dataset_identifier` is the identifier of the dataset
         followed by an identifier of the set the outputs were created from, for
         example `_validation` or `_test`. For example, the `mlsum_de` test set
-        would have the identifier `mlsum_de_test`. the Please see the sample
-        submission below:
+        would have the identifier `mlsum_de_test`. The `keys` field can be set
+        to avoid accidental shuffling to impact your metrics. Simply add a list
+        of the `gem_id` for each output example in the same order as your
+        values. Please see the sample submission below:
         """
         )
         with open("sample-submission.json", "r") as f:
@@ -87,9 +106,9 @@ with st.form(key="form"):
             st.json(example_submission)
 
     token = st.text_input(
-        "Access token",
+        "Enter 🤗 Hub access token",
         type="password",
-        help="You can generate an access token via your Hub settings. See the [docs](https://huggingface.co/docs/hub/security#user-access-tokens) for more details",
+        help="You can generate an access token via your 🤗 Hub settings. See the [docs](https://huggingface.co/docs/hub/security#user-access-tokens) for more details",
     )
 
     submit_button = st.form_submit_button("Make Submission")