Update app.py

app.py

@@ -27,6 +27,7 @@ import os
 from tensorflow.keras.applications.resnet50 import ResNet50,preprocess_input, decode_predictions
 from tensorflow.keras.preprocessing import image
 from sklearn.feature_extraction.text import TfidfVectorizer
+import easyocr
 
 
 
@@ -465,7 +466,7 @@ def extract_eval(image1,image2,image3,image4):
     diagram_2_embed=return_image_embedding(model,image4)
     diagram_embed_sim_score=util.pytorch_cos_sim(diagram_1_embed, diagram_2_embed)
     print("Diagram Embedding Similarity Score \n")
-    print(diagram_embed_sim_score)
+    print(str(int(float(str(diagram_embed_sim_score).split("[")[2].split("]")[0])*10.0)))
     diagram_1_text=inference(image2,'en')
     diagram_2_text=inference(image4,'en')
     print(diagram_1_text)