Update app.py

app.py

@@ -21,6 +21,8 @@ def load_pdf_and_generate_embeddings(pdf_doc, open_ai_key, relevant_pages='all')
         #Create an instance of OpenAIEmbeddings, which is responsible for generating embeddings for text
         embeddings = OpenAIEmbeddings()
 
+        global vectordb
+
         if relevant_pages == 'all':    
             #To create a vector store, we use the Chroma class, which takes the documents (pages in our case) and the embeddings instance
             vectordb = Chroma.from_documents(pages, embedding=embeddings)