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from langchain_src.qna_chain import generate_response
import gradio as gr
import time
title = """<h1 align="center">ChatIGL</h1>"""
description = """<br><br><h3 align="center">This is a chat model, which can currently answer questions to IGL Docs provided.</h3>"""
with gr.Blocks(theme="glass") as demo:
gr.HTML(title)
chatbot = gr.Chatbot(type="messages", height=750)
msg = gr.Textbox()
clear = gr.ClearButton([msg, chatbot])
def respond(message, chat_history):
bot_message = generate_response(message, chat_history)
bot_message = bot_message.replace("\\times", "*").replace("\\text{", "").replace("}", "")
chat_history.append({"role": "user", "content": message})
chat_history.append({"role": "assistant", "content": bot_message})
return "", chat_history
msg.submit(respond, [msg, chatbot], [msg, chatbot])
gr.Examples([
["How is penalty to be deducted from O&M bill of CNG 1200 SCMH compressor package against gas loss of 60,000 SCM in a month. Explain with detailed calculations."],
["How should a MDPE pipe cross a Nallah?"],
["At what depth should a MDPE pipe be laid?"],
["Explain with example RFC shortfall calculation for vendor of Pool 1."],
], inputs=msg, label= "Examples"
)
clear.click(lambda: None, None, chatbot, queue=False)
gr.HTML(description)
demo.launch()
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