Intro text changes.

app.py

@@ -271,13 +271,11 @@ def convert(model_id, task,
         return error_str(e, model=model_id, task=task, framework=framework, compute_units=compute_units, precision=precision, tolerance=tolerance)
 
 DESCRIPTION = """
-## Convert a transformers model to Core ML
+## Convert a `transformers` model to Core ML
 
 With this Space you can try to convert a transformers model to Core ML. It uses the 🤗 Hugging Face [Exporters repo](https://huggingface.co/exporters) under the hood.
 
-Note that not all models are supported. If you get an error on a model you'd like to convert, please open an issue on the [repo](https://github.com/huggingface/exporters).
-
-After conversion, you can choose to submit a PR to the original repo, or create your own repo with just the converted Core ML weights.
+Note that not all models are supported. If you get an error on a model you'd like to convert, please open an issue in the discussions tab of this Space. You'll get a link to do it when an error occurs.
 """
 
 with gr.Blocks() as demo:
@@ -359,7 +357,8 @@ with gr.Blocks() as demo:
         fn=convert,
         inputs=[input_model, radio_tasks, radio_compute, radio_precision, radio_tolerance, radio_framework, radio_push, text_destination, text_token],
         outputs=error_output,
-        scroll_to_output=True
+        scroll_to_output=True,
+        # api_name="convert",
     )
 
     radio_push.change(