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import os
from typing import Optional, Tuple
import gradio as gr
import pickle
from query_data import get_chain
from threading import Lock
with open("vectorstore.pkl", "rb") as f:
vectorstore = pickle.load(f)
def set_openai_api_key(api_key: str):
"""Set the api key and return chain.
If no api_key, then None is returned.
"""
if api_key:
os.environ["OPENAI_API_KEY"] = api_key
chain = get_chain(vectorstore)
os.environ["OPENAI_API_KEY"] = ""
return chain
class ChatWrapper:
def __init__(self):
self.lock = Lock()
def __call__(
self, api_key: str, inp: str, history: Optional[Tuple[str, str]], chain
):
"""Execute the chat functionality."""
self.lock.acquire()
try:
history = history or []
# If chain is None, that is because no API key was provided.
if chain is None:
history.append((inp, "Please paste your OpenAI key to use"))
return history, history
# Set OpenAI key
import openai
openai.api_key = api_key
# Run chain and append input.
output = chain({"question": inp, "chat_history": history})["answer"]
history.append((inp, output))
except Exception as e:
raise e
finally:
self.lock.release()
return history, history
chat = ChatWrapper()
block = gr.Blocks(css=".gradio-container {background-color: lightgray}")
with block:
with gr.Row():
gr.Markdown("<h3><center>Chat-Your-Data (Chef)</center></h3>")
openai_api_key_textbox = gr.Textbox(
placeholder="Paste your OpenAI API key (sk-...)",
show_label=False,
lines=1,
type="password",
)
chatbot = gr.Chatbot()
with gr.Row():
message = gr.Textbox(
label="What's your question?",
placeholder="Ask questions about cooking recipes",
lines=1,
)
submit = gr.Button(value="Send", variant="secondary").style(full_width=False)
gr.Examples(
examples=[
"Could you give me 5 pasta recipes",
"How do you make lasagna",
"What is the nutrition of grilled chicken",
],
inputs=message,
)
gr.HTML("Demo application of a LangChain chain.")
gr.HTML(
"<center>Powered by <a href='https://github.com/hwchase17/langchain'>LangChain 🦜️🔗</a></center>"
)
state = gr.State()
agent_state = gr.State()
submit.click(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state])
message.submit(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state])
openai_api_key_textbox.change(
set_openai_api_key,
inputs=[openai_api_key_textbox],
outputs=[agent_state],
)
block.launch(debug=True)
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