Adding default values.

app.py

@@ -180,55 +180,55 @@ def add_new_eval(
         
 
 with gr.Blocks() as demo:
-    gr.Markdown("This is a super basic example 'frontend'. Fill out below then click **Run** to create the request file and launch the job.")
-    gr.Markdown("The request file will be written so %s." % REQUESTS_DATASET_PATH)
-    gr.Markdown("The job will be launched at [EnergyStarAI/launch-computation-example](https://huggingface.co/spaces/EnergyStarAI/launch-computation-example).")
+    gr.Markdown("# This is a super basic example 'frontend'. Fill out below then click **Run** to create the request file and launch the job.")
+    gr.Markdown("## The request file will be written so %s." % REQUESTS_DATASET_PATH)
+    gr.Markdown("## The job will be launched at [EnergyStarAI/launch-computation-example](https://huggingface.co/spaces/EnergyStarAI/launch-computation-example).")
     with gr.Row():
         gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")
-        with gr.Row():
-            with gr.Column():
-                model_name_textbox = gr.Textbox(label="Model name")
-                revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
-                model_type = gr.Dropdown(
-                    choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
-                    label="Model type",
-                    multiselect=False,
-                    value=None,
-                    interactive=True,
-                )
-
-            with gr.Column():
-                precision = gr.Dropdown(
-                    choices=[i.value.name for i in Precision if i != Precision.Unknown],
-                    label="Precision",
-                    multiselect=False,
-                    value="float16",
-                    interactive=True,
-                )
-                weight_type = gr.Dropdown(
-                    choices=[i.value.name for i in 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.Row():
-            with gr.Column():
-                submit_button = gr.Button("Run Analysis")
-                submission_result = gr.Markdown()
-                submit_button.click(
-                    fn=add_new_eval,
-                    inputs=[
-                        model_name_textbox,
-                        base_model_name_textbox,
-                        revision_name_textbox,
-                        precision,
-                        weight_type,
-                        model_type,
-                    ],
-                    outputs=submission_result,
-                )
+    with gr.Row():
+        with gr.Column():
+            model_name_textbox = gr.Textbox(label="Model name", placeholder="lvwerra/distilbert-imdb")
+            revision_name_textbox = gr.Textbox(label="Revision commit", placeholder="main")
+            model_type = gr.Dropdown(
+                choices=[t.to_str(" : ") for t in ModelType if t != ModelType.Unknown],
+                label="Model type",
+                placeholder="pretrained"
+                multiselect=False,
+                value=None,
+                interactive=True,
+            )
+
+        with gr.Column():
+            precision = gr.Dropdown(
+                choices=[i.value.name for i in Precision if i != Precision.Unknown],
+                label="Precision",
+                multiselect=False,
+                value="float16",
+                interactive=True,
+            )
+            weight_type = gr.Dropdown(
+                choices=[i.value.name for i in WeightType],
+                label="Weights type",
+                multiselect=False,
+                value="Original",
+                interactive=True,
+            )
+
+    with gr.Row():
+        with gr.Column():
+            submit_button = gr.Button("Run Analysis")
+            submission_result = gr.Markdown()
+            submit_button.click(
+                fn=add_new_eval,
+                inputs=[
+                    model_name_textbox,
+                    "",
+                    revision_name_textbox,
+                    precision,
+                    weight_type,
+                    model_type,
+                ],
+                outputs=submission_result,
+            )
     
 demo.launch()