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import os
from typing import Optional, Tuple
import gradio as gr
import pickle
from query_data import get_chain
from ingest_data import embed_chat
from threading import Lock
def click_embed(file):
"""Embed Telegram chat.
"""
embed_chat(file.name)
with open("vectorstore.pkl", "rb") as f:
vectorstore = pickle.load(f)
chain = get_chain(vectorstore)
return chain, gr.update(visible=False), gr.update(visible=False), gr.update(visible=False), gr.update(
visible=True), gr.update(visible=True), gr.update(
visible=True), gr.update(visible=True)
def set_openai_api_key(api_key: str):
"""Set the api key.
"""
if api_key:
os.environ["OPENAI_API_KEY"] = api_key
def upload_file(file_obj):
return file_obj
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>Telegram Chat Chat</center></h3>")
openai_api_key_textbox = gr.Textbox(
placeholder="Paste your OpenAI API key (sk-...)",
show_label=False,
lines=1,
type="password",
visible=True
)
telegram_chat_file = gr.File(file_count="single", file_types=["json"], interactive=True, show_label=True,
visible=True,
label="Telegram chat history exported .json file")
embed_button = gr.Button("Create embeddings", visible=True)
chatbot = gr.Chatbot(visible=False)
with gr.Row():
message = gr.Textbox(
label="What's your question?",
placeholder="Ask questions about your Telegram conversation",
lines=1,
visible=False
)
submit = gr.Button(value="Send", variant="secondary", visible=False).style(full_width=False)
with gr.Row(visible=False) as examples_row:
gr.Examples(
examples=[
"When was [your name] happy and how does it show?",
"How could [your name] have been more compassionate?",
"What triggers [your name] instantly?",
],
inputs=message,
)
gr.HTML(
"<center>Powered by <a href='https://github.com/hwchase17/langchain'>LangChain 🦜️🔗</a></center>"
)
state = gr.State()
agent_state = gr.State()
embed_button.click(click_embed, inputs=[telegram_chat_file],
outputs=[agent_state, openai_api_key_textbox, telegram_chat_file, embed_button, chatbot, message,
submit, examples_row])
submit.click(chat, inputs=[openai_api_key_textbox, message, state, agent_state], outputs=[chatbot, state])
print(agent_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],
)
block.launch(debug=True)
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