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import gradio as gr
from TwitterChatBot.main import ask
title = "Car Seats Voice Commands"
link = "https://cdn.cms-twdigitalassets.com/content/dam/legal-twitter/asset-download-files/TheTwitterUserAgreement_1.pdf"
description = f"""
# Twitter Terms Of Service ChatBot
This chatbot answers questions about **Twitter terms of service** based on this [resource]({link}), The techniques used in this project
can be used to answer questions from any kind of business or legal document.
### Examples:
try something like
- What is twitter?
- What actions are permitted for the users?
"""
def get_answer(question):
print(question)
answer = ask(question=question)
return answer.strip()
def predict(input, history=[]):
answer = get_answer(input)
history.append((input, answer))
response = history
return response, history
with gr.Blocks() as demo:
gr.Markdown(description)
chatbot = gr.Chatbot()
state = gr.State([])
with gr.Row():
txt = gr.Textbox(
show_label=False, placeholder="Ask me a question and press enter"
).style(container=False)
txt.submit(predict, [txt, state], [chatbot, state])
demo.launch()
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