style

app.py

@@ -55,15 +55,15 @@ def onnx_export(token: str, model_id: str, task: str) -> str:
     except Exception as e:
         return f"#### Error: {e}"
 
-
 TTILE = """
-<div style="text-align: center; max-width: 1400px; margin: 0 auto;">
-<img src="https://huggingface.co/spaces/optimum/exporters/resolve/main/clean_hf_onnx.png"/>
+<img src="https://huggingface.co/spaces/optimum/exporters/resolve/main/clean_hf_onnx.png" class="center"/>
 
 <div
     style="
         display: inline-flex;
         align-items: center;
+        text-align: center;
+        max-width: 1400px;
         gap: 0.8rem;
         font-size: 2.2rem;
     "
@@ -71,8 +71,6 @@ TTILE = """
 <h1 style="font-weight: 900; margin-bottom: 10px; margin-top: 10px;">
     Convert transformers model to ONNX with 🤗 Optimum exporters 🏎️ (Beta)
 </h1>
-</div>
-
 </div>
 """
 
@@ -100,7 +98,7 @@ with gr.Blocks() as demo:
     with gr.Column():
         input_token = gr.Textbox(max_lines=1, label="Hugging Face token")
         input_model = gr.Textbox(max_lines=1, label="Model name", placeholder="textattack/distilbert-base-cased-CoLA")
-        input_task = gr.Textbox(value="auto", max_lines=1, label="Task (can be left blank, will be automatically inferred)")
+        input_task = gr.Textbox(value="auto", max_lines=1, label="Task (can be left to \"auto\", will be automatically inferred)")
 
         btn = gr.Button("Convert to ONNX")
         output = gr.Markdown(label="Output")