Update app.py

app.py

@@ -2,6 +2,8 @@ import gradio as gr
 import json, openai, os, time
 from openai import OpenAI
 
+client, assistant, thread
+
 def show_json(str, obj):
     print(f"### {str}")
     print(json.loads(obj.model_dump_json()))
@@ -14,10 +16,8 @@ def init_assistant():
         instructions="You are a personal math tutor. Answer questions briefly, in a sentence or less.",
         model="gpt-4-1106-preview",
     )
-    show_json("assistant", assistant)
     
     thread = client.beta.threads.create()
-    show_json("thread", thread)
 
     return client, assistant, thread
 
@@ -38,10 +38,6 @@ def extract_content_value(data):
                 content_values.append(content.text.value)
     return content_values
 
-client = None
-assistant = None
-thread = None
-
 def chat(message, history):
     global client
     global assistant
@@ -57,10 +53,13 @@ def chat(message, history):
 
     if len(history_openai_format) == 1:
         client, assistant, thread = init_assistant()
+
+    show_json("assistant", assistant)
+    show_json("thread", thread)
     
-    print("### history")
-    print(len(history_openai_format))
-    print(history_openai_format)
+    #print("### history")
+    #print(len(history_openai_format))
+    #print(history_openai_format)
     
     message = client.beta.threads.messages.create(
         thread_id=thread.id,
@@ -68,22 +67,22 @@ def chat(message, history):
         content=message,
     )
     
-    show_json("message", message)
+    #show_json("message", message)
     
     run = client.beta.threads.runs.create(
         thread_id=thread.id,
         assistant_id=assistant.id,
     )
     
-    show_json("runs", run)
+    #show_json("run", run)
 
     run = wait_on_run(client, run, thread)
     
-    show_json("runs", run)
+    #show_json("run", run)
 
     messages = client.beta.threads.messages.list(thread_id=thread.id)
     
-    show_json("messages", messages)
+    #show_json("messages", messages)
 
     return extract_content_value(messages)[0]