rename to export

README.md

@@ -1,6 +1,6 @@
 ---
-title: Convert to ONNX
-emoji: 👀
+title: Export to ONNX
+emoji: 🏎️
 colorFrom: green
 colorTo: purple
 sdk: gradio

app.py

@@ -59,7 +59,7 @@ def onnx_export(token: str, model_id: str, task: str, opset: Union[int, str]) ->
             commit_url = repo.push_to_hub()
             print("[dataset]", commit_url)
 
-        return 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})"
+        return f"#### Success 🔥 Yay! This model was successfully exported and a PR was open using your token, here: [{commit_info.pr_url}]({commit_info.pr_url})"
     except Exception as e:
         return f"#### Error: {e}"
 
@@ -89,26 +89,26 @@ TITLE = """
     "
 >
 <h1 style="font-weight: 900; margin-bottom: 10px; margin-top: 10px;">
-    Convert transformers model to ONNX with 🤗 Optimum exporters 🏎️ (Beta)
+    Export transformers model to ONNX with 🤗 Optimum exporters 🏎️ (Beta)
 </h1>
 </div>
 """
 
 # for some reason https://huggingface.co/settings/tokens is not showing as a link by default?
 DESCRIPTION = """
-This Space allows you to automatically convert 🤗 transformers PyTorch models hosted on the Hugging Face Hub to [ONNX](https://onnx.ai/). It opens a PR on the target model, and it is up to the owner of the original model
+This Space allows you to automatically export 🤗 transformers PyTorch models hosted on the Hugging Face Hub to [ONNX](https://onnx.ai/). It opens a PR on the target model, and it is up to the owner of the original model
 to merge the PR to allow people to leverage the ONNX standard to share and use the model on a wide range of devices!
 
-Once converted, the model can, for example, be used in the [🤗 Optimum](https://huggingface.co/docs/optimum/) library closely following the transformers API.
+Once exported, the model can, for example, be used in the [🤗 Optimum](https://huggingface.co/docs/optimum/) library closely following the transformers API.
 Check out [this guide](https://huggingface.co/docs/optimum/main/en/onnxruntime/usage_guides/models) to see how!
 
 The steps are as following:
 - Paste a read-access token from [https://huggingface.co/settings/tokens](https://huggingface.co/settings/tokens). Read access is enough given that we will open a PR against the source repo.
 - Input a model id from the Hub (for example: [textattack/distilbert-base-cased-CoLA](https://huggingface.co/textattack/distilbert-base-cased-CoLA))
-- Click "Convert to ONNX"
-- That's it! You'll get feedback on if the conversion was successful or not, and if it was, you'll get the URL of the opened PR!
+- Click "Export to ONNX"
+- That's it! You'll get feedback on if the export was successful or not, and if it was, you'll get the URL of the opened PR!
 
-Note: in case the model to convert is larger than 2 GB, it will be saved in a subfolder called `onnx/`. To load it from Optimum, the argument `subfolder="onnx"` should be provided.
+Note: in case the model to export is larger than 2 GB, it will be saved in a subfolder called `onnx/`. To load it from Optimum, the argument `subfolder="onnx"` should be provided.
 """
 
 with gr.Blocks() as demo:
@@ -140,7 +140,7 @@ with gr.Blocks() as demo:
                 label="ONNX opset (optional, can be left blank)",
             )
 
-            btn = gr.Button("Convert to ONNX")
+            btn = gr.Button("Export to ONNX")
             output = gr.Markdown(label="Output")
 
     btn.click(