Remove model_type and base_model from the submission tab

app.py

@@ -465,13 +465,6 @@ with gr.Blocks() as demo_submission:
                 multiselect=False,
                 value="float16",
             )
-            weight_type = gr.Dropdown(
-                label="Weights type",
-                choices=[i.value.name for i in WeightType],
-                multiselect=False,
-                value="Original",
-            )
-            base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
             add_special_tokens = gr.Dropdown(
                 label="AddSpecialTokens",
                 choices=[i.value.name for i in AddSpecialTokens if i != AddSpecialTokens.Unknown],
@@ -485,10 +478,8 @@ with gr.Blocks() as demo_submission:
         add_new_eval,
         [
             model_name_textbox,
-            base_model_name_textbox,
             revision_name_textbox,
             precision,
-            weight_type,
             model_type,
             add_special_tokens,
         ],

src/submission/submit.py

@@ -16,10 +16,8 @@ USERS_TO_SUBMISSION_DATES = None
 
 def add_new_eval(
     model: str,
-    base_model: str,
     revision: str,
     precision: str,
-    weight_type: str,
     model_type: str,
     add_special_tokens: str,
 ):
@@ -45,15 +43,9 @@ def add_new_eval(
         revision = "main"
 
     # Is the model on the hub?
-    if weight_type in ["Delta", "Adapter"]:
-        base_model_on_hub, error, _ = is_model_on_hub(model_name=base_model, revision=revision, token=TOKEN, test_tokenizer=True)
-        if not base_model_on_hub:
-            return styled_error(f'Base model "{base_model}" {error}')
-
-    if not weight_type == "Adapter":
-        model_on_hub, error, _ = is_model_on_hub(model_name=model, revision=revision, token=TOKEN, test_tokenizer=True)
-        if not model_on_hub:
-            return styled_error(f'Model "{model}" {error}')
+    model_on_hub, error, _ = is_model_on_hub(model_name=model, revision=revision, token=TOKEN, test_tokenizer=True)
+    if not model_on_hub:
+        return styled_error(f'Model "{model}" {error}')
 
     # Is the model info correctly filled?
     try:
@@ -78,10 +70,8 @@ def add_new_eval(
 
     eval_entry = {
         "model": model,
-        "base_model": base_model,
         "revision": revision,
         "precision": precision,
-        "weight_type": weight_type,
         "status": "PENDING",
         "submitted_time": current_time,
         "model_type": model_type,
@@ -99,7 +89,7 @@ def add_new_eval(
     print("Creating eval file")
     OUT_DIR = f"{EVAL_REQUESTS_PATH}/{user_name}"
     os.makedirs(OUT_DIR, exist_ok=True)
-    out_path = f"{OUT_DIR}/{model_path}_eval_request_False_{precision}_{weight_type}_{add_special_tokens}.json"
+    out_path = f"{OUT_DIR}/{model_path}_eval_request_False_{precision}_{add_special_tokens}.json"
 
     with open(out_path, "w") as f:
         f.write(json.dumps(eval_entry))