Upload

app.py

@@ -1,4 +1,5 @@
 import gradio as gr
+from pathlib import Path
 from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
 import pandas as pd
 from apscheduler.schedulers.background import BackgroundScheduler
@@ -79,6 +80,10 @@ def init_leaderboard(dataframe):
         interactive=False,
     )
 
+def upload_file(filepath):
+    name = Path(filepath).name
+    return [gr.UploadButton(visible=False), gr.DownloadButton(label=f"Download {name}", value=filepath, visible=True)]
+
 
 demo = gr.Blocks(css=custom_css)
 with demo:
@@ -139,48 +144,12 @@ with demo:
                 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,
-                    )
+                u = gr.UploadButton("Upload a file", file_count="single")
+                d = gr.DownloadButton("Download the file", visible=False)
 
-                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)")
-
-            submit_button = gr.Button("Submit Eval")
-            submission_result = gr.Markdown()
-            submit_button.click(
-                add_new_eval,
-                [
-                    model_name_textbox,
-                    base_model_name_textbox,
-                    revision_name_textbox,
-                    precision,
-                    weight_type,
-                    model_type,
-                ],
-                submission_result,
-            )
+                u.upload(upload_file, u, [u, d])
+
+                
 
     with gr.Row():
         with gr.Accordion("📙 Citation", open=False):