Update app.py

app.py

@@ -1,21 +1,43 @@
 import gradio as gr
-from fastai.vision.all import load_learner, PILImage
+from fastai.vision.all import *
+import skimage
 
+# Load the model
 learn = load_learner('export.pkl')
+
+# Get labels
 labels = learn.dls.vocab
 
+# Prediction function
 def predict(img):
     img = PILImage.create(img)
     pred, pred_idx, probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    prediction = str(pred)
+    return prediction
 
-iface = gr.Interface(
-    fn=predict,
-    inputs=gr.Image(),
-    outputs=gr.Label(num_top_classes=3),
-    title="Breast Cancer Detection",
-    description="Upload a breast X-ray image to detect potential issues.",
-    examples=['img1.jpeg', 'img2.jpeg']
-)
+# App configuration
+title = "Breast cancer detection with Deep Transfer Learning(ResNet18)."
+description = """
+<p style='text-align: center'>
+<b>As a radiologist or oncologist, it is crucial to know what is wrong with a breast x-ray image.</b><br>
+<b>Upload the breast X-ray image to know what is wrong with a patient's breast with or without implant.</b><br>
+This product is from the findings of my (Team) published research paper: 
+<a href='https://iopscience.iop.org/article/10.1088/2057-1976/ad3cdf' target='_blank' style='color: blue;'>read paper</a>.<br>
+Learn more about me: <a href='https://www.linkedin.com/in/fosberg-addai-53a6991a7/' target='_blank' style='color: blue;'>Fosberg Addai</a>
+</p>
+"""
+article = "<p style='text-align: center'>Web app is built and managed by Addai Fosberg</p>"
+examples = ['img1.jpeg', 'img2.jpeg']
+enable_queue = True
 
-iface.launch()
+# Update the interface components
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(shape=(512, 512)),  # Updated input component
+    outputs=gr.Label(num_top_classes=3),  # Updated output component
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    enable_queue=enable_queue
+).launch()