.

.gitignore

@@ -0,0 +1,11 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/

README.md

@@ -8,5 +8,9 @@ sdk_version: 4.9.1
 app_file: app.py
 pinned: false
 ---
+python3 -m venv venv
+source venv/bin/activate
+pip3 install -r requirements.txt
+---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,12 +1,12 @@
 from pymongo import MongoClient
-from langchain.embeddings import OpenAIEmbeddings
-#from langchain_community.embeddings.openai import OpenAIEmbeddings
-from langchain.vectorstores import MongoDBAtlasVectorSearch
-#from langchain_community.vectorstores import MongoDBAtlasVectorSearch
-from langchain.document_loaders import DirectoryLoader
-#from langchain_community.document_loaders import DirectoryLoader
-from langchain.llms import OpenAI
-#from langchain_community.llms import OpenAI
+# error since Jan 2024, from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain_community.embeddings import OpenAIEmbeddings
+# error since Jan 2024, from langchain.vectorstores import MongoDBAtlasVectorSearch
+from langchain_community.vectorstores import MongoDBAtlasVectorSearch
+# error since Jan 2024, from langchain.document_loaders import DirectoryLoader
+from langchain_community.document_loaders import DirectoryLoader
+# error since Jan 2024, from langchain.llms import OpenAI
+from langchain_community.llms import OpenAI
 from langchain.chains import RetrievalQA
 import gradio as gr
 from gradio.themes.base import Base
@@ -41,7 +41,7 @@ def query_data(query,openai_api_key,mongo_uri):
     # If it's not specified (for example like in the code below),
     # then the default OpenAI model used in LangChain is OpenAI GPT-3.5-turbo, as of August 30, 2023
     
-    llm = OpenAI(openai_api_key=openai_api_key, temperature=0)
+    llm = OpenAI(openai_api_key=openai_api_key, temperature=0, model_name='gpt-4-1106-preview')
 
 
     # Get VectorStoreRetriever: Specifically, Retriever for MongoDB VectorStore.
@@ -51,7 +51,7 @@ def query_data(query,openai_api_key,mongo_uri):
     # Load "stuff" documents chain. Stuff documents chain takes a list of documents,
     # inserts them all into a prompt and passes that prompt to an LLM.
 
-    qa = RetrievalQA.from_chain_type(llm, chain_type="stuff", retriever=retriever)
+    qa = RetrievalQA.from_chain_type(llm, chain_type="stuff", retriever=retriever, model_name='gpt-4-1106-preview')
 
     # Execute the chain
 

requirements.txt

@@ -1,4 +1,5 @@
 langchain
+langchain-community
 pymongo[srv]==4.1.1
 bs4
 openai