Update app.py

app.py

@@ -3,7 +3,7 @@ import openai
 import sys
 
 import gradio as gr
-
+from IPython import get_ipython
 import json
 import requests
 from tenacity import retry, wait_random_exponential, stop_after_attempt
@@ -12,6 +12,21 @@ from tenacity import retry, wait_random_exponential, stop_after_attempt
 GPT_MODEL = "gpt-3.5-turbo-1106"
 openai.api_key  = os.environ['OPENAI_API_KEY']
 
+def exec_python(cell):
+    ipython = get_ipython()
+    result = ipython.run_cell(cell)
+    log = str(result.result)
+    if result.error_before_exec is not None:
+        log += f"\n{result.error_before_exec}"
+    if result.error_in_exec is not None:
+        log += f"\n{result.error_in_exec}"
+    prompt = """You are a genius math tutor, Python code expert, and a helpful assistant.
+    answer = {ans}
+
+    Please answer user questions very well with explanations and match it with the multiple choices question.
+    """.format(ans = log)
+    return log
+
 # Now let's define the function specification:
 functions = [
     {
@@ -151,22 +166,6 @@ def first_call(init_prompt, user_input):
   # Let's see what we got back before continuing
   return assistant_message, cost1
 
-from IPython import get_ipython
-
-def exec_python(cell):
-    ipython = get_ipython()
-    result = ipython.run_cell(cell)
-    log = str(result.result)
-    if result.error_before_exec is not None:
-        log += f"\n{result.error_before_exec}"
-    if result.error_in_exec is not None:
-        log += f"\n{result.error_in_exec}"
-    prompt = """You are a genius math tutor, Python code expert, and a helpful assistant.
-    answer = {ans}
-
-    Please answer user questions very well with explanations and match it with the multiple choices question.
-    """.format(ans = log)
-    return log
 
 def second_prompt_build(prompt, log):
   prompt_second = prompt.format(ans = log)