Update app.py

app.py

@@ -4,8 +4,8 @@ from off_topic import OffTopicDetector
 
 detector = OffTopicDetector("openai/clip-vit-base-patch32")
 
-def validate(item_id: str, threshold: float):
-    images, domain, probas, valid_probas, invalid_probas = detector.predict_probas_item(item_id)
+def validate(item_id: str, use_title: bool, threshold: float):
+    images, domain, probas, valid_probas, invalid_probas = detector.predict_probas_item(item_id, use_title=use_title)
     valid_images = [x for i, x in enumerate(images) if valid_probas[i].squeeze() >= threshold]
     invalid_images = [x for i, x in enumerate(images) if valid_probas[i].squeeze() < threshold]
     return f"## Domain: {domain}", valid_images, invalid_images
@@ -15,19 +15,21 @@ with gr.Blocks() as demo:
                 # Off topic image detector
                 ### This app takes an item ID and classifies its pictures as valid/invalid depending on whether they relate to the domain in which it's been listed.
                 Input an item ID or select one of the preloaded examples below.""")
-    item_id = gr.Textbox(label="Item ID")
-    threshold = gr.Number(label="Threshold", value=0.25, precision=2)
+    with gr.Row():
+        item_id = gr.Textbox(label="Item ID")
+        use_title = gr.Checkbox(label="Use item title", value=True)
+        threshold = gr.Number(label="Threshold", value=0.25, precision=2)
     submit = gr.Button("Submit")
     gr.HTML("<hr>")
     domain = gr.Markdown()
     valid = gr.Gallery(label="Valid images").style(grid=[1, 2, 3], height="auto")
     gr.HTML("<hr>")
     invalid = gr.Gallery(label="Invalid images").style(grid=[1, 2, 3], height="auto")
-    submit.click(inputs=[item_id, threshold], outputs=[domain, valid, invalid], fn=validate)
+    submit.click(inputs=[item_id, use_title, threshold], outputs=[domain, valid, invalid], fn=validate)
     gr.HTML("<hr>")
     gr.Examples(
-        examples=[["MLC572974424", 0.25], ["MLU449951849", 0.25], ["MLA1293465558", 0.25],
-                  ["MLB3184663685", 0.25], ["MLC1392230619", 0.25], ["MCO546152796", 0.25]],
+        examples=[["MLC572974424", True, 0.25], ["MLU449951849", True, 0.25], ["MLA1293465558", True, 0.25],
+                  ["MLB3184663685", True, 0.25], ["MLC1392230619", True, 0.25], ["MCO546152796", True, 0.25]],
         inputs=[item_id, threshold],
         outputs=[domain, valid, invalid],
         fn=validate,