Update app.py

app.py

@@ -20,10 +20,10 @@ def cosine_similarity(v1, v2):
 
 # Backend function for mapping
 def mapping_code(user_input):
-    emb1 = model.encode(user_input, convert_to_tensor=True).astype(float)
+    emb1 = model.encode(user_input)
     similarities = []
     for sentence_emb in sentence_embed['embeds']:
-        sentence_emb = np.array(sentence_emb).astype(float)
+        sentence_emb = np.array(sentence_emb)
         similarity = cosine_similarity(sentence_emb, emb1)
         similarities.append(similarity)