Update app.py

app.py

@@ -65,7 +65,7 @@ class SemanticSearch:
         self.use = hub.load('https://tfhub.dev/google/universal-sentence-encoder/4')
         self.fitted = False
 
-    def fit(self, data, batch=1000, n_neighbors=5):
+    def fit(self, data, batch=1000, n_neighbors=15):
         self.data = data
         self.embeddings = self.get_text_embedding(data, batch=batch)
         n_neighbors = min(n_neighbors, len(self.embeddings))
@@ -103,7 +103,7 @@ def load_recommender(paths, start_page=1):
     recommender.fit(chunks)
     return 'Corpus Loaded.'
 
-def generate_text(prompt, engine="davinci"):
+def generate_text(prompt, engine="gpt-3.5-turbo"):
     completions = openai.Completion.create(
         engine=engine,
         prompt=prompt,
@@ -127,7 +127,7 @@ def generate_answer(question):
               "If the text does not relate to the query, simply state 'Text Not Found in Body of Knowledge'. "\
               "\n\nQuery: {question}\n Answer: "
 
-    answer = generate_text(prompt, "davinci")
+    answer = generate_text(prompt, "gpt-3.5-turbo")
     return answer
 
 def question_answer(urls, file, question):