Refactor

app.py

@@ -9,8 +9,6 @@ import textwrap
 
 MODEL_NAME = 'sentence-transformers/all-MiniLM-L6-v2'
 INDEX_NAME = 'charity-assistant'
-tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
-model = AutoModel.from_pretrained(MODEL_NAME)
 
 def text_to_embedding(text):
     inputs = tokenizer(text, padding=True, truncation=True, return_tensors="pt")
@@ -55,6 +53,8 @@ def recommend(user_query: str) -> str:
 
 pc=Pinecone()
 index = pc.Index(INDEX_NAME)
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+model = AutoModel.from_pretrained(MODEL_NAME)
 openai.api_key = os.environ['OPENAI_API_KEY']
 recommender = gr.Interface(fn=recommend, inputs="text", outputs="text")
 recommender.launch()