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import gradio as gr
from openai import OpenAIError
from selfinstruct.instance import instance_main
import openai
from langchain.llms.openai import OpenAI
import os
import json
def OpenaiChat(key, input, temperature):
print(input)
openai.api_key = key
MODEL = "gpt-3.5-turbo"
try:
response = openai.ChatCompletion.create(
model=MODEL,
messages=[
{"role": "user", "content": input}
],
temperature=temperature
)
return json.dumps(response["choices"], ensure_ascii=False)
except OpenAIError:
return "Wrong Key!"
with gr.Blocks() as demo:
gr.Markdown("# Self-instruct Prompt")
with gr.Row():
key = gr.Textbox(label="Input OpenAI key", type="password")
with gr.Tab("Generate instance"):
with gr.Row():
with gr.Column():
gr.Dropdown(["davinci"], value=["davinci"], multiselect=False, label="Model")
text_input = gr.TextArea(lines=3, label="Input instruction:", info="格式：一行一个instruction")
with gr.Column():
text_output = gr.JSON(lines=10, label="Output instance:")
text_button = gr.Button("Generate")
gr.Markdown("## 3 Steps to generate")
with gr.Row():
text_step1 = gr.TextArea(lines=3, label="Step1 identify if classifacrion task:", )
text_step2 = gr.TextArea(lines=3, label="Step2 generate instance:", )
text_step3 = gr.TextArea(lines=3, label="Step3 Prepare for finetune:", )
with gr.Tab("Simple ChatGPT"):
gr.Dropdown(["GPT3.5"], value=["GPT3.5"], multiselect=False, label="Model")
temperature = gr.Slider(0, 1.0, value=0.5, label="Temperature", info="Choose betwen 0 and 1")
ChatGPT_input = gr.TextArea(lines=3, label="Input:")
ChatGPT_output = gr.TextArea(lines=3, label="Output:")
ChatGPT_button = gr.Button("Run")
# with gr.Accordion("Open for More!"):
# gr.Markdown("Look at me...")
text_button.click(instance_main, inputs=[text_input, key], outputs=[text_output, text_step1, text_step2, text_step3])
ChatGPT_button.click(OpenaiChat, inputs=[key, ChatGPT_input, temperature], outputs=ChatGPT_output)
demo.launch() |