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import gradio as gr
import json, openai, os, time
from openai import OpenAI
def show_json(str, obj):
print(f"### {str}")
print(json.loads(obj.model_dump_json()))
def init_assistant():
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",
)
show_json("assistant", assistant)
thread = client.beta.threads.create()
show_json("thread", thread)
return client, assistant, thread
def wait_on_run(client, run, thread):
while run.status == "queued" or run.status == "in_progress":
run = client.beta.threads.runs.retrieve(
thread_id=thread.id,
run_id=run.id,
)
time.sleep(0.25)
return run
def extract_content_value(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):
client, assistant, thread = init_assistant()
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})
print("### history")
print(history_openai_format)
message = client.beta.threads.messages.create(
thread_id=thread.id,
role="user",
content=message,
)
show_json("message", message)
run = client.beta.threads.runs.create(
thread_id=thread.id,
assistant_id=assistant.id,
)
show_json("runs", run)
run = wait_on_run(client, run, thread)
show_json("runs", run)
messages = client.beta.threads.messages.list(thread_id=thread.id)
show_json("messages", messages)
return extract_content_value(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() |