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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() | |