Update app.py

app.py

@@ -11,47 +11,6 @@ HF_TOKEN = os.environ.get("HF_TOKEN")
 
 repo: Optional[Repository] = None
 
-def run(model_id: str, is_private: bool, token: Optional[str] = None) -> str:
-    if model_id == "":
-        return """
-        ### Invalid input 🐞
-        
-        Please fill a token and model_id.
-        """
-    try:
-        if is_private:
-            api = HfApi(token=token)
-        else:
-            api = HfApi(token=HF_TOKEN)
-        hf_is_private = api.model_info(repo_id=model_id).private
-        if is_private and not hf_is_private:
-            # This model is NOT private
-            # Change the token so we make the PR on behalf of the bot.
-            api = HfApi(token=HF_TOKEN)
-
-        print("is_private", is_private)
-
-        commit_info, errors = convert(api=api, model_id=model_id)
-        print("[commit_info]", commit_info)
-
-
-        string =  f"""
-        ### Success 🔥
-
-        Yay! This model was successfully converted and a PR was open using your token, here:
-
-        [{commit_info.pr_url}]({commit_info.pr_url})
-        """
-        if errors:
-            string += "\nErrors during conversion:\n"
-            string += "\n".join(f"Error while converting {filename}: {e}, skipped conversion" for filename, e in errors)
-        return string
-    except Exception as e:
-        return f"""
-        ### Error 😢😢😢
-        
-        {e}
-        """
 
 
 DESCRIPTION = """
@@ -88,6 +47,6 @@ with gr.Blocks(title=title) as demo:
             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(lambda e: e, inputs=[model_id, is_private, token], outputs=output, concurrency_limit=1)
 
-demo.queue(max_size=10).launch(show_api=True)
+demo.queue(max_size=10, api_open=True).launch(show_api=True)