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import gradio as gr | |
import os | |
from openai import OpenAI | |
config = { | |
"max_tokens": 1000, | |
"model": "gpt-4", | |
"temperature": 0 | |
} | |
def invoke(openai_api_key, prompt): | |
if (openai_api_key == ""): | |
raise gr.Error("OpenAI API Key is required.") | |
if (prompt == ""): | |
raise gr.Error("Prompt is required.") | |
os.environ["OPENAI_API_KEY"] = openai_api_key | |
content = "" | |
try: | |
client = OpenAI() | |
completion = client.chat.completions.create( | |
max_tokens = config["max_tokens"], | |
messages = [{"role": "user", "content": prompt}], | |
model = config["model"], | |
temperature = config["temperature"]) | |
content = completion.choices[0].message.content | |
except Exception as e: | |
err_msg = e | |
raise gr.Error(e) | |
return content | |
description = """<a href='https://www.gradio.app/'>Gradio</a> UI using the <a href='https://openai.com/'>OpenAI</a> SDK | |
with <a href='https://openai.com/research/gpt-4'>gpt-4</a> model.""" | |
gr.close_all() | |
demo = gr.Interface(fn = invoke, | |
inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1), | |
gr.Textbox(label = "Prompt", lines = 1)], | |
outputs = [gr.Textbox(label = "Completion", lines = 1)], | |
title = "Generative AI - LLM", | |
description = description) | |
demo.launch() |