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import os
import gradio as gr
from langchain.chat_models import ChatOpenAI
from langchain import LLMMathChain
from langchain.utilities import GoogleSerperAPIWrapper, WikipediaAPIWrapper
from langchain.agents import initialize_agent, Tool, AgentType
def initialize():
# Define models
llm = ChatOpenAI(temperature=0)
search = GoogleSerperAPIWrapper()
wiki = WikipediaAPIWrapper(top_k_results = 1)
llm_math_chain = LLMMathChain(llm=llm)
tools = [
Tool(
name="Calculator",
func=llm_math_chain.run,
description="useful for when you need to answer questions about math"
),
Tool(
name = "wikipedia",
func=wiki.run,
description="useful for when you need to answer questions about historical entity. the input to this should be a single search term."
),
Tool(
name = "Current Search",
func=search.run,
description="useful for when you need to answer questions about current events or the current state of the world, also useful if there is no wikipedia result. the input to this should be a single search term."
)
]
from langchain.memory import ConversationBufferMemory
memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
chatbot_engine = initialize_agent(
tools,
llm,
agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION,
verbose=True,
memory=memory)
return chatbot_engine
def set_key(api_key):
if not api_key:
return "Key can't be empty!", None
os.environ["OPENAI_API_KEY"] = api_key
chatbot_engine = initialize()
return "Key received", chatbot_engine
def chat(chat_history, chatbot_engine, message=""):
# Empty msg
if not message.strip():
return chat_history, chat_history, ""
# Execute message
try:
result = chatbot_engine.run(message.strip())
except ValueError:
result = "I can't handle this request, please try something else."
chat_history.append((message, result))
return chat_history, chat_history, ""
with gr.Blocks() as demo:
# Declearing states
chat_history = gr.State([])
chatbot_engine = gr.State()
with gr.Row():
openai_api_key_textbox = gr.Textbox(
placeholder="Paste your OpenAI API key (sk-...)",
show_label=False,
lines=1,
type="password",
)
api_key_set = gr.Button("Set key")
api_key_set.click(
fn=set_key,
inputs=[openai_api_key_textbox],
outputs=[api_key_set, chatbot_engine],
)
gr.Markdown("""<h1><center>Chat with your online-connected bot!</center></h1>""")
chatbot = gr.Chatbot()
message = gr.Textbox()
submit = gr.Button("SEND")
submit.click(chat, inputs=[chat_history, chatbot_engine, message], outputs=[chatbot, chat_history, message])
if __name__ == "__main__":
demo.launch(debug = True) |