Update app.py

app.py

@@ -34,21 +34,18 @@ def detect(input_text,th=-3.08583984375):
 
     return label2decisions[decision]
 
-description_e = """This is a demo on Github project 🏃 [Deepfake Text Detection in the Wild](https://github.com/yafuly/DeepfakeTextDetect).
+description_e = """
+This is a demo on Github project 🏃 [Deepfake Text Detection in the Wild](https://github.com/yafuly/DeepfakeTextDetect).
                 
-                🎯 Input the text to be detected, and click ''submit''' to get the detection result, either human-written or machine-generated.
-                
-                ⌛️ It takes about 6~ seconds to generate segment results.
-            
-                🏠 Check out our [Model Card 🏃](https://huggingface.co/nealcly/detection-longformer)
+🎯 Input the text to be detected, and click ''submit''' to get the detection result, either human-written or machine-generated.
+
+⌛️ It takes about 6~ seconds to generate segment results.
+
+🏠 Check out our [Model Card 🏃](https://huggingface.co/nealcly/detection-longformer)
                 
-              """
-css = "h1 { text-align: center } .about { text-align: justify; padding-left: 10%; padding-right: 10%; }"
-with gr.Blocks(css=css, title='Deepfake Text Detection in the Wild') as demo:
-    with gr.Row():
-        gr.Markdown('Deepfake Text Detection in the Wild')
-        gr.Markdown(description_e)
+"""
+
         
-gr.Markdown(description_e)
-iface = gr.Interface(fn=detect, inputs="text", outputs="text")
+
+iface = gr.Interface(fn=detect, inputs="text", outputs="text", description=gr.Markdown(description_e))
 iface.launch()