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import gradio as gr
import json, openai, os, time
from openai import OpenAI
_client = None
_assistant = None
_thread = None
def show_json(str, obj):
print(f"===> {str}\n{json.loads(obj.model_dump_json())}")
def init_assistant():
global _client, _assistant, _thread
_client = OpenAI(api_key=os.environ.get("OPENAI_API_KEY"))
_assistant = _client.beta.assistants.create(
name="Math Tutor",
instructions="You are a personal math tutor. Answer questions briefly, in a sentence or less.",
model="gpt-4-1106-preview",
)
_thread = _client.beta.threads.create()
def wait_on_run(run, thread):
global _client
while run.status == "queued" or run.status == "in_progress":
run = _client.beta.threads.runs.retrieve(
run_id=run.id,
thread_id=thread.id,
)
time.sleep(0.25)
return run
def extract_content_values(data):
content_values = []
for item in data.data:
for content in item.content:
if content.type == 'text':
content_values.append(content.text.value)
return content_values
def chat(message, history):
global _client
global _assistant
global _thread
history_openai_format = []
for human, assistant in history:
history_openai_format.append({"role": "user", "content": human})
history_openai_format.append({"role": "assistant", "content":assistant})
history_openai_format.append({"role": "user", "content": message})
if len(history_openai_format) == 1:
init_assistant()
show_json("assistant", _assistant)
show_json("thread", _thread)
#print("### history")
#print(len(history_openai_format))
#print(history_openai_format)
message = _client.beta.threads.messages.create(
role="user",
thread_id=_thread.id,
content=history_openai_format,
)
#show_json("message", message)
run = _client.beta.threads.runs.create(
assistant_id=_assistant.id,
thread_id=_thread.id,
)
run = wait_on_run(run, thread)
#show_json("run", run)
messages = _client.beta.threads.messages.list(thread_id=_thread.id)
#show_json("messages", messages)
return extract_content_values(messages)[0]
gr.ChatInterface(
chat,
chatbot=gr.Chatbot(height=300),
textbox=gr.Textbox(placeholder="Ask Math Tutor any question", container=False, scale=7),
title="Math Tutor",
description="Question",
theme="soft",
examples=["I need to solve the equation `3x + 13 = 11`. Can you help me?"],
cache_examples=False,
retry_btn=None,
undo_btn=None,
clear_btn="Clear",
#multimodal=True,
#additional_inputs=[
# gr.Textbox("You are a personal math tutor. Answer questions briefly, in a sentence or less.", label="System Prompt"),
#],
).launch() |