Update app.py

app.py

@@ -12,8 +12,17 @@ def predict_image(get_image):
    return dict(zip(categories, map(float, probs)))
 
 title = "Detect COVID_19 Infection Xray Chest Images"
-description = "A covid19 infection classifier trained on the anasmohammedtahir/covidqu dataset with efficientnetb0 base model. Created demo using Gradio and HuggingFace Spaces."
-examples = [['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']]
+description = """
+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_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']
+]
 article="<p style='text-align: center'><a href='https://www.kaggle.com/datasets/anasmohammedtahir/covidqu' target='_blank'>COVID-QU-Ex Dataset</a></p>"
 interpretation='default'
 enable_queue=True