updates

app.py

@@ -45,14 +45,21 @@ def main():
         query = user_query.strip().replace('\n', ' ')
         response = qa_chain(
             {
-                'question': query,
+                'query': query,
             }
         )
-        st.write(f"{response['answer']}")
+        st.write(f"{response['result']}")
         st.write("Sources: ")
-        st.write(f"{response['sources']}")
-
 
+        documents = response['source_documents']
+        for document in documents:
+            page_content = document.page_content
+            source_url = document.metadata['source']
+            st.write("Page Content")
+            st.write(page_content)
+            st.write("Source URL:")
+            st.write(source_url)
+            st.markdown("""---""")
 try:
     main()
 except Exception as e:

makechain.py

@@ -1,14 +1,11 @@
 from langchain.chat_models import ChatOpenAI
 from langchain.vectorstores.pinecone import Pinecone
 import openai
-from langchain.chains import RetrievalQAWithSourcesChain
+from langchain.chains import RetrievalQA
 import os
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 def get_chain(vectorstore: Pinecone):
     openai.api_key = OPENAI_API_KEY
     llm = ChatOpenAI(temperature=0, model_name="gpt-3.5-turbo")
-
-    qa_chain = RetrievalQAWithSourcesChain.from_chain_type(llm=llm, chain_type="stuff",
-                                                           retriever=vectorstore.as_retriever())
-
+    qa_chain = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=vectorstore.as_retriever(),return_source_documents=True)
     return qa_chain

requirements.txt

@@ -1,5 +1,5 @@
 streamlit~=1.22.0
 pinecone-client
-langchain~=0.0.177
+langchain~=0.0.215
 openai~=0.27.7
 tqdm~=4.65.0