Update app.py

app.py

@@ -35,7 +35,7 @@ llm = ChatOpenAI(model='gpt-3.5-turbo', temperature=0.0)
 stage_analyzer_chain = LLMChain(
     llm=llm,
     prompt=stage_analyzer_inception_prompt, 
-    verbose=True, 
+    verbose=False, 
     output_key="stage_number")
 
 df = pd.read_json('./data/unified_wine_data.json', encoding='utf-8', lines=True)
@@ -86,7 +86,7 @@ vectorstore = Chroma.from_documents(docs, embeddings)
 document_content_description = "Database of a wine"
 llm = OpenAI(temperature=0)
 retriever = SelfQueryRetriever.from_llm(
-    llm, vectorstore, document_content_description, metadata_field_info, verbose=True
+    llm, vectorstore, document_content_description, metadata_field_info, verbose=False
 )  # Added missing closing parenthesis
 
 def search_with_url(query):
@@ -227,7 +227,7 @@ class CustomOutputParser(AgentOutputParser):
 
 output_parser = CustomOutputParser()
 
-llm_chain = LLMChain(llm=ChatOpenAI(model='gpt-4', temperature=0.0), prompt=prompt, verbose=True,)
+llm_chain = LLMChain(llm=ChatOpenAI(model='gpt-4', temperature=0.0), prompt=prompt, verbose=False,)
 
 tool_names = [tool.name for tool in tools]
 agent = LLMSingleActionAgent(
@@ -237,7 +237,7 @@ agent = LLMSingleActionAgent(
     allowed_tools=tool_names
 )
 
-agent_executor = AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True)
+agent_executor = AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=False)
 
 import gradio as gr