change app.py

app.py

@@ -23,12 +23,12 @@ def predict(img):
 	return dict(zip(categories, map(float, probs)))
 	
 	
-title = "Pediatric Pneumonia or Normal Chest X-Ray Predictor"
+title = "Pediatric Pneumonia Chest X-Ray Predictor"
 
-description = "A pediatric pneumonia or normal chest x-ray predictor model trained on the chest-xray-pneumonia dataset with fastai. The dataset is from: <a href='https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia' target='_blank'>Chest X-Ray Images (Pneumonia)</a> and the associated scientific journal paper is <a href='https://www.cell.com/cell/fulltext/S0092-8674(18)30154-5' target='_blank'>Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning</a>. The accuracy of the model is: 81.25%"
+description = "A pediatric pneumonia chest x-ray predictor model trained on the chest-xray-pneumonia dataset, using ResNet18 via <a href='https://https://www.fast.ai/' target='_blank'>fast.ai</a>. The dataset is from: <a href='https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia' target='_blank'>Chest X-Ray Images (Pneumonia)</a> and the associated scientific journal paper is <a href='https://www.cell.com/cell/fulltext/S0092-8674(18)30154-5' target='_blank'>Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning</a>. The accuracy of the model is: 81.25%"
 
 
-article = "<p style='text-align: center'><span style='font-size: 15pt;'>Pediatric Pneumonia or Normal Chest X-Ray Predictor. Zakia Salod. 2022. </span></p>"
+article = "<p style='text-align: center'><span style='font-size: 15pt;'>Pediatric Pneumonia Chest X-Ray Predictor. Zakia Salod. 2022. </span></p>"
 
 
 image = gr.inputs.Image(shape=(512, 512))