Update app.py

app.py

@@ -28,6 +28,7 @@ qa_chain = None
 
 def invoke(openai_api_key, youtube_url, prompt):
     openai.api_key = openai_api_key
+    global qa_chain
     if (os.path.isdir("docs/chroma/") == False):
         print(1)
         youtube_dir = "docs/youtube/"
@@ -38,9 +39,9 @@ def invoke(openai_api_key, youtube_url, prompt):
         chroma_dir = "docs/chroma/"
         vectordb = Chroma.from_documents(documents = splits, embedding = OpenAIEmbeddings(), persist_directory = chroma_dir)
         llm = ChatOpenAI(model_name = "gpt-4", temperature = 0)
-        global qa_chain = RetrievalQA.from_chain_type(llm, retriever = vectordb.as_retriever(), return_source_documents = True, chain_type_kwargs = {"prompt": QA_CHAIN_PROMPT})
+        qa_chain = RetrievalQA.from_chain_type(llm, retriever = vectordb.as_retriever(), return_source_documents = True, chain_type_kwargs = {"prompt": QA_CHAIN_PROMPT})
     print(2)
-    result = global qa_chain({"query": prompt})
+    result = qa_chain({"query": prompt})
     shutil.rmtree(youtube_dir)
     #shutil.rmtree(chroma_dir)
     return result["result"]