Upload app.py

app.py

@@ -35,20 +35,29 @@ print ('Creating vector search index')
 # print ('Waiting for vector index on field "embedding" to be created')
 # time.sleep(60)
 
-vector_store = MongoDBAtlasVectorSearch(embedding=OpenAIEmbeddings(), collection=collection, index_name='vector_index', text_key='plot', embedding_key='plot_embedding')
+try:
+    vector_store = MongoDBAtlasVectorSearch(embedding=OpenAIEmbeddings(), collection=collection, index_name='vector_index', text_key='plot', embedding_key='plot_embedding')
+
+except:
+    # If open ai key is wrong
+    print ('Open AI key is wrong')
+    vector_store = None
 
 def get_movies(message, history):
     # Use AsyncIO to run the similarity search in the background
    # movies =  vector_store.similarity_search(message, 3)
     print ('Searching for: ' + message)
-    movies =  vector_store.similarity_search(message, 3)
-    retrun_text = ''
-    for movie in movies:
-        retrun_text = retrun_text + 'Title : ' +  movie.metadata['title'] + '\n------------\n' + 'Plot: ' + movie.page_content + '\n\n'
-
-    for i in range(len(retrun_text)):
-        time.sleep(0.05)
-        yield "Found: " + "\n\n" + retrun_text[: i+1]
+    try:
+        movies =  vector_store.similarity_search(message, 3)
+        retrun_text = ''
+        for movie in movies:
+            retrun_text = retrun_text + 'Title : ' +  movie.metadata['title'] + '\n------------\n' + 'Plot: ' + movie.page_content + '\n\n'
+
+        for i in range(len(retrun_text)):
+            time.sleep(0.05)
+            yield "Found: " + "\n\n" + retrun_text[: i+1]
+    except:
+    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"
     
 
 demo = gr.ChatInterface(get_movies, examples=["What movies are scary?", "Find me a comedy", "Movies for kids"], title="Movies Atlas Vector Search", submit_btn="Search").queue()