Update app.py

app.py

@@ -1,14 +1,9 @@
 from langchain.embeddings.openai import OpenAIEmbeddings
-from langchain.vectorstores import Chroma
-from langchain.text_splitter import CharacterTextSplitter
-from langchain.chains.question_answering import load_qa_chain
 from langchain.agents import create_csv_agent
 from langchain.llms import OpenAI
 import os
 
-import pandas as pd
 file_name = 'gpt-generated-food-data.csv'
-df = pd.read_csv(file_name)
 
 agent = create_csv_agent(OpenAI(temperature=0), 
                          file_name, 
@@ -17,8 +12,7 @@ agent = create_csv_agent(OpenAI(temperature=0),
 agent.agent.llm_chain.prompt.template
 
 def make_inference(query):
-    docs = docsearch.get_relevant_documents(query)
-    return(agent.run(input_documents=docs, question=query))
+    return(agent.run(query))
 
 if __name__ == "__main__":
     # make a gradio interface