Update app.py

app.py

@@ -19,9 +19,9 @@ client = chromadb.Client()
 collection = client.get_or_create_collection("patents")
 collection.add(documents=docs,ids=ids)
 
-def text_embedding(input):
-    model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
-    return model.encode(input)
+#def text_embedding(input):
+    #model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+    #return model.encode(input)
 
 def gen_context(query):
     vector = text_embedding(query).tolist()