update scripts

app.py

@@ -182,9 +182,10 @@ def filter_queries(query: str, filtered_df: pd.DataFrame) -> pd.DataFrame:
                     final_df.append(temp_filtered_df)
         if len(final_df) > 0:
             filtered_df = pd.concat(final_df)
-            filtered_df = filtered_df.drop_duplicates(
-                subset=[utils.AutoEvalColumn.model.name, utils.AutoEvalColumn.precision.name, utils.AutoEvalColumn.revision.name]
-            )
+            # filtered_df = filtered_df.drop_duplicates(
+                # subset=[utils.AutoEvalColumn.model.name, utils.AutoEvalColumn.precision.name, utils.AutoEvalColumn.revision.name]
+                # subset=[utils.AutoEvalColumn.model.name]
+            # )
 
     return filtered_df
 
@@ -388,22 +389,22 @@ try:
                             interactive=True,
                         )
 
-                    with gr.Column():
-                        precision = gr.Dropdown(
-                            choices=[i.value.name for i in utils.Precision if i != utils.Precision.Unknown],
-                            label="Precision",
-                            multiselect=False,
-                            value="float16",
-                            interactive=True,
-                        )
-                        weight_type = gr.Dropdown(
-                            choices=[i.value.name for i in utils.WeightType],
-                            label="Weights type",
-                            multiselect=False,
-                            value="Original",
-                            interactive=True,
-                        )
-                        base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
+                    # with gr.Column():
+                    #     precision = gr.Dropdown(
+                    #         choices=[i.value.name for i in utils.Precision if i != utils.Precision.Unknown],
+                    #         label="Precision",
+                    #         multiselect=False,
+                    #         value="float16",
+                    #         interactive=True,
+                    #     )
+                    #     weight_type = gr.Dropdown(
+                    #         choices=[i.value.name for i in utils.WeightType],
+                    #         label="Weights type",
+                    #         multiselect=False,
+                    #         value="Original",
+                    #         interactive=True,
+                    #     )
+                    #     base_model_name_textbox = gr.Textbox(label="Base model (for delta or adapter weights)")
 
                 submit_button = gr.Button("Submit Eval")
                 submission_result = gr.Markdown()
@@ -411,10 +412,10 @@ try:
                     submit.add_new_eval,
                     [
                         model_name_textbox,
-                        base_model_name_textbox,
-                        revision_name_textbox,
-                        precision,
-                        weight_type,
+                        # base_model_name_textbox,
+                        # revision_name_textbox,
+                        # precision,
+                        # weight_type,
                         model_type,
                     ],
                     submission_result,