Update app.py

app.py

@@ -107,6 +107,17 @@ def get_grade(similarity_score):
     else:
         return 1
 
+def get_embedding(text):
+    return model1.encode(text, convert_to_tensor=True)
+
+# Calculate similarity between two texts focusing on sequence
+def calculate_similarity(text1, text2):
+    embedding1 = get_embedding(text1)
+    embedding2 = get_embedding(text2)
+    similarity = util.pytorch_cos_sim(embedding1, embedding2)
+    return similarity.item()
+
+
 # Function to evaluate student's answer by comparing it to a model answer
 def evaluate_answer(image, languages, model_answer):
     student_answer = extract_text_from_image(image, languages)