Added 2 more images

app.py

@@ -12,10 +12,11 @@ def predict_image(get_image):
 
 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/']
+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
 
 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,Gallery=examples,article=article, interpretation=interpretation,enable_queue=enable_queue).launch(share=False)

app.py.bak

@@ -12,7 +12,7 @@ def predict_image(get_image):
 
 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']
+examples = ['covid/']
 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