Update app.py

app.py

@@ -20,7 +20,7 @@ if False and HF_TOKEN:
     repo = Repository(local_dir="data", clone_from=DATASET_REPO_URL, token=HF_TOKEN)
 
 
-def run(model_id: str, is_private: bool, token: Optional[str] = None) -> str:
+def run(model_id: str, token: Optional[str] = None) -> str:
     print(model_id + ' ' + token)
     return model_id + ' ' + token
 
@@ -39,9 +39,6 @@ The steps are the following:
 title="Convert any model to Safetensors and open a PR"
 allow_flagging="never"
 
-def token_text(visible=False):
-    return gr.Text(max_lines=1, label="your_hf_token", visible=visible)
-
 with gr.Blocks(title=title) as demo:
     description = gr.Markdown(f"""# {title}""")
     description = gr.Markdown(DESCRIPTION)
@@ -49,8 +46,7 @@ with gr.Blocks(title=title) as demo:
     with gr.Row() as r:
         with gr.Column() as c:
             model_id = gr.Text(max_lines=1, label="model_id")
-            is_private = gr.Checkbox(label="Private model")
-            token = token_text()
+            token = gr.Text(max_lines=1, label="your_hf_token")
             with gr.Row() as c:
                 clean = gr.ClearButton()
                 submit = gr.Button("Submit", variant="primary")
@@ -58,7 +54,10 @@ with gr.Blocks(title=title) as demo:
         with gr.Column() as d:
             output = gr.Markdown()
 
-    is_private.change(lambda s: token_text(s), inputs=is_private, outputs=token)
-    submit.click(run, inputs=[model_id, is_private, token], outputs=output, concurrency_limit=1)
+    submit.click(run, inputs=[model_id, token], outputs=output, concurrency_limit=1)
+
+
+
+
 
 demo.queue(max_size=10).launch(show_api=True)