style

app.py

@@ -57,7 +57,7 @@ def onnx_export(token: str, model_id: str, task: str) -> str:
 
 
 TTILE = """
-<div style="text-align: center; max-width: 700px; margin: 0 auto;">
+<div style="text-align: center; margin: 0 auto;">
 <img src="https://huggingface.co/spaces/optimum/exporters/resolve/main/clean_hf_onnx.png"/>
 
 <div
@@ -69,7 +69,7 @@ TTILE = """
     "
 >
 <h1 style="font-weight: 900; margin-bottom: 10px; margin-top: 10px;">
-    Convert any PyTorch model to ONNX with 🤗 Optimum exporters 🏎️ (Beta)
+    Convert transformers model to ONNX with 🤗 Optimum exporters 🏎️ (Beta)
 </h1>
 </div>
 
@@ -77,7 +77,7 @@ TTILE = """
 """
 
 DESCRIPTION = """
-This Space allows to automatically convert to ONNX 🤗 transformers models hosted on the Hugging Face Hub. It opens a PR on the target model, and it is up to the owner of the original model
+This Space allows to automatically convert to ONNX 🤗 transformers PyTorch models hosted on the Hugging Face Hub. 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 following closely the transormers API.