Update app.py

app.py

@@ -17,7 +17,13 @@ This Space demonstrates model based on efficientnet base model.
 
 The model is trained using [anasmohammedtahir/covidqu] (https://www.kaggle.com/datasets/anasmohammedtahir/covidqu)dataset
 """
-examples = [
+covid = [
+    ['covid/covid_1038.png'], ['covid/covid_1034.png'], 
+    ['covid/cd.png'], ['covid/covid_1021.png'], 
+    ['covid/covid_1027.png'], ['covid/covid_1042.png'], 
+    ['covid/covid_1031.png']
+]
+normal = [
     ['covid/covid_1038.png'], ['covid/covid_1034.png'], 
     ['covid/cd.png'], ['covid/covid_1021.png'], 
     ['covid/covid_1027.png'], ['covid/covid_1042.png'], 
@@ -27,10 +33,7 @@ article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/
 interpretation='default'
 enable_queue=True
 
-with gr.Row():
-    covid = ['covid/covid_1038.png', 'covid/covid_1034.png', 'covid/cd.png', 'covid/covid_1021.png', 'covid/covid_1027.png', 'covid/covid_1042.png', 'covid/covid_1031.png']
-    gr.Gallery(value=covid, columns=2).style(height="200px", grid=2)
     
 gr.Interface(fn=predict_image, inputs=gr.Image(shape=(224,224)),
-             outputs = gr.Label(num_top_classes=3),title=title,description=description,examples=examples,article=article, interpretation=interpretation,enable_queue=enable_queue).launch(share=False)
+             outputs = gr.Label(num_top_classes=3),title=title,description=description,examples=covid,examples=normal,article=article, interpretation=interpretation,enable_queue=enable_queue).launch(share=False)