Update app.py

Removing `revision`

app.py

@@ -95,7 +95,6 @@ def get_model_size(model_info: ModelInfo, precision: str):
 
 def add_new_eval(
     repo_id: str,
-    revision: str,
     precision: str,
     task: str,
 ):
@@ -105,17 +104,11 @@ def add_new_eval(
     
     current_time = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
 
-
-    # Does the model actually exist?
-    #if revision == "":
-    revision = "main"
-
-
     # Is the model info correctly filled?
     try:
-        model_info = API.model_info(repo_id=repo_id, revision=revision)
+        model_info = API.model_info(repo_id=repo_id)
     except Exception:
-        print("Could not find information for model %s at revision %s" % (model, revision))
+        print("Could not find information for model %s" % (model))
         return
     #    return styled_error("Could not get your model information. Please fill it up properly.")
 
@@ -136,7 +129,6 @@ def add_new_eval(
 
     request_dict = {
         "model": repo_id,
-        "revision": revision,
         "precision": precision,
         "status": "PENDING",
         "submitted_time": current_time,
@@ -147,11 +139,6 @@ def add_new_eval(
         #"private": False,
     #}
 
-    # Check for duplicate submission
-    #if f"{model}_{revision}_{precision}" in REQUESTED_MODELS:
-    #    return styled_warning("This model has been already submitted.")
-
-
     out_file = f"{model_name}_eval_request_{precision}.json"
     temp_out_path = f"./temp/{REQUESTS_DATASET_PATH}/{model_owner}/"
     temp_out_file = f"./temp/{REQUESTS_DATASET_PATH}/{model_owner}/{out_file}"
@@ -189,7 +176,6 @@ with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():
             model_name_textbox = gr.Textbox(label="Model name", value="lvwerra/distilbert-imdb")
-            revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
             task = gr.Dropdown(
                 choices=tasks,
                 label="Choose a benchmark task",
@@ -214,7 +200,6 @@ with gr.Blocks() as demo:
                 fn=add_new_eval,
                 inputs=[
                     model_name_textbox,
-                    revision_name_textbox,
                     precision,
                     task,
                 ],