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import gradio as gr
from datetime import date
from langchain.agents import AgentType, initialize_agent, tool
from langchain.chat_models import ChatOpenAI
config = {
"max_tokens": 1000,
"model_name": "gpt-4",
"temperature": 0,
}
AGENT_OFF = False
AGENT_ON = True
@tool
def time(text: str) -> str:
"""Returns todays date, use this for any \
questions related to knowing todays date. \
The input should always be an empty string, \
and this function will always return todays \
date - any date mathmatics should occur \
outside this function."""
return str(date.today())
def invoke(openai_api_key, prompt, agent_option):
if (openai_api_key == ""):
raise gr.Error("OpenAI API Key is required.")
if (prompt == ""):
raise gr.Error("Prompt is required.")
if (agent_option is None):
raise gr.Error("Use Agent is required.")
output = ""
try:
if (agent_option == AGENT_OFF):
#
else:
llm = ChatOpenAI(model_name = config["model_name"],
openai_api_key = openai_api_key,
temperature = config["temperature"])
agent = initialize_agent([time],
llm,
agent = AgentType.CHAT_ZERO_SHOT_REACT_DESCRIPTION,
handle_parsing_errors = True,
verbose = True)
completion = agent(prompt)
output = completion["output"]
except Exception as e:
err_msg = e
raise gr.Error(e)
return output
description = """<a href='https://www.gradio.app/'>Gradio</a> UI using the <a href='https://openai.com/'>OpenAI</a> API
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, value = "sk-"),
gr.Textbox(label = "Prompt", lines = 1, value = "What is today's date?"),
gr.Radio([AGENT_OFF, AGENT_ON], label = "Use Agent", value = AGENT_OFF)],
outputs = [gr.Textbox(label = "Completion", lines = 1)],
title = "Generative AI - LLM & Agent",
description = description,
examples = [["sk-", "What is today's date?"],
["sk-", "What is the weather in SF?"]],
cache_examples = False)
demo.launch() |