Update app.py

app.py

@@ -1,4 +1,5 @@
 import time
+import traceback
 import gradio as gr
 import os
 import asyncio
@@ -23,7 +24,7 @@ collection_name = 'embedded_movies'
 collection = client[db_name][collection_name]
 
 try:
-    vector_store = MongoDBAtlasVectorSearch(embedding=OpenAIEmbeddings(), collection=collection, index_name='vector_index', text_key='plot', embedding_key='plot_embedding')
+    vector_store = MongoDBAtlasVectorSearch(embedding=OpenAIEmbeddings(disallowed_special=()), collection=collection, index_name='vector_index', text_key='plot', embedding_key='plot_embedding')
     llm = ChatOpenAI(temperature=0)
     prompt = ChatPromptTemplate.from_messages([
     ("system", "You are a movie recommendation engine which post a concise and short summary on relevant movies."),
@@ -35,6 +36,7 @@ except:
     #If open ai key is wrong
     print ('Open AI key is wrong')
     vector_store = None
+    print("An error occurred: \n" + error_message)
 
 def get_movies(message, history):
 
@@ -51,7 +53,7 @@ def get_movies(message, history):
             yield "Found: " + "\n\n" + print_llm_text[: i+1]
     except Exception as e:
         error_message = traceback.format_exc()
-        yield "An error occurred: \n" + error_message
+        print("An error occurred: \n" + error_message)
         yield "Please clone the repo and add your open ai key as well as your MongoDB Atlas UR in the Secret Section of you Space\n OPENAI_API_KEY (your Open AI key) and MONGODB_ATLAS_CLUSTER_URI (0.0.0.0/0 whitelisted instance with Vector index created) \n\n For more information : https://mongodb.com/products/platform/atlas-vector-search"