Update app.py

app.py

@@ -1,6 +1,10 @@
 from langchain.embeddings.openai import OpenAIEmbeddings
 from langchain.agents import create_csv_agent
+from langchain.vectorstores import Chroma
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.chains.question_answering import load_qa_chain
 from langchain.llms import OpenAI
+from langchain.document_loaders.csv_loader import CSVLoader
 import os
 
 file_name = 'gpt-generated-food-data.csv'
@@ -9,8 +13,22 @@ agent = create_csv_agent(OpenAI(temperature=0),
                          file_name, 
                          verbose=True)
 
+loader = CSVLoader(file_path=file_name)
+data = loader.load()
+
+text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0, separator = "\n")
+texts = text_splitter.split_text(data)
+
+embeddings = OpenAIEmbeddings()
+
+docsearch = Chroma.from_texts(texts, embeddings, metadatas=[{"source": str(i)} for i in range(len(texts))]).as_retriever()
+
+chain = load_qa_chain(OpenAI(temperature=0), chain_type="stuff")
+
+
 def make_inference(query):
-    return(agent.run(query))
+    docs = docsearch.get_relevant_documents(query)
+    return(chain.run(input_documents=docs, question=query))
 
 if __name__ == "__main__":
     # make a gradio interface