init

app.py

@@ -10,7 +10,7 @@ def image_classifier(im1: numpy.ndarray, im2: numpy.ndarray):
     encoded_image = model.encode([Image.fromarray(im1), Image.fromarray(im2)], batch_size=128,
                                  convert_to_tensor=True, show_progress_bar=True)
     processed_images = util.paraphrase_mining_embeddings(encoded_image)
-    return {"Схожи на": round(processed_images[0][0]*100, 2)}
+    return {"Схожи на": round(processed_images[0][0], 2)}
 
 
 with gr.Blocks() as b: