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import os
import gradio as gr
from langchain.chat_models import ChatOpenAI
from langchain.agents import load_tools, initialize_agent
from langchain.agents import AgentType
from langchain.tools import AIPluginTool
def run(prompt, plugin_json, openai_api_key):
os.environ["OPENAI_API_KEY"] = openai_api_key
tool = AIPluginTool.from_plugin_url(plugin_json)
llm = ChatOpenAI(temperature=0)
tools = load_tools(["requests_all"] )
tools += [tool]
agent_chain = initialize_agent( tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True)
return agent_chain.run(prompt)
title="""
<div style="text-align:center;">
<h1>ChatGPT Plugins playground</h1>
<p>
This is a demo for the <a href="https://python.langchain.com/en/latest/modules/agents/tools/examples/chatgpt_plugins.html", target="_blank">ChatGPT Plugins LangChain</a> usecase<br />
Be aware that it currently only works with plugins that do not require auth.
</p>
</div>
"""
with gr.Blocks() as demo:
with gr.Column():
gr.HTML(title)
prompt = gr.Textbox(label="Prompt", value="what t shirts are available in klarna?")
plugin = gr.Textbox(label="Plugin json", info="You need the .json plugin manifesto file of the plugin you want to use", value="https://www.klarna.com/.well-known/ai-plugin.json")
openai_api_key = gr.Textbox(label="OpenAI API Key", type="password")
run_btn = gr.Button("Run")
response = gr.Textbox(label="Response")
run_btn.click(fn=run,
inputs=[prompt, plugin, openai_api_key],
outputs=[response]
)
demo.launch() |