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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import json
import gradio as gr
from langchain.chains.llm import LLMChain
from langchain.llms import OpenAI, HuggingFaceHub
from langchain.prompts import PromptTemplate
import project_settings as settings
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--examples_json_file",
default="examples.json",
type=str
)
parser.add_argument(
"--openai_api_key",
default=settings.environment.get("openai_api_key", default=None, dtype=str),
type=str
)
args = parser.parse_args()
return args
def main():
args = get_args()
with open(args.examples_json_file, "r", encoding="utf-8") as f:
examples = json.load(f)
def fn(prompt_name: str, prompt_description: str, prompt: str, model_name: str = "text-davinci-003",
temperature: float = 0.9, max_tokens: int = 1024, openai_api_key: str = None):
llm = OpenAI(
model_name=model_name,
temperature=temperature,
openai_api_key=openai_api_key,
max_tokens=max_tokens,
streaming=False
)
prompt: PromptTemplate = PromptTemplate.from_template(prompt)
llm_chain = LLMChain(llm=llm, prompt=prompt)
try:
outputs = llm_chain.predict()
except Exception as e:
outputs = str(e)
return outputs
description = """
Awesome ChatGPT Prompts
一些好用的 prompt 测试.
你需要填写自己的 OpenAI API Key.
欢迎在 community 发布你认为有价值的 prompt.
"""
demo = gr.Interface(
fn=fn,
inputs=[
gr.Text(label="prompt_name", value="best practice"),
gr.Text(label="prompt_description", value="description for prompt"),
gr.Text(label="prompt", lines=4, max_lines=200),
gr.Text(label="model_name", value="text-davinci-003"),
gr.Slider(minimum=0, maximum=1, value=0.85, label="temperature"),
gr.Number(value=1024, label="max_tokens"),
gr.Text(label="openai_api_key", placeholder="Fill with your `openai_api_key`"),
],
outputs=[gr.Text(label="output", lines=4, max_lines=200)],
examples=[[
example["title"],
example["description"],
example["prompt"],
example["model_name"],
example["temperature"],
example["max_tokens"],
args.openai_api_key or "Fill with your `openai_api_key`"
] for example in examples],
cache_examples=False,
examples_per_page=50,
title="Awesome ChatGPT Prompts",
description=description,
)
demo.launch()
return
if __name__ == '__main__':
main()
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