app.py

from os import pipe
import gradio as gr
from functions.punctuation import punctuate
from functions.model_infer import predict_from_document


title = "sponsoredBye - never listen to sponsors again"
description = "Sponsored sections in videos are annoying and take up a lot of time. Improve your YouTube watching experience, by filling in the youtube url and figure out what segments to skip."
article = "Check out [the original Rick and Morty Bot](https://huggingface.co/spaces/kingabzpro/Rick_and_Morty_Bot) that this demo is based off of."


def pipeline(video_url):
    video_id = video_url.split("?v=")[-1]
    punctuated_text = punctuate(video_id)
    sentences = re.split(r"[\.\!\?]\s", punctuated_text)
    classification = predict_from_document(sentences)
    #    return punctuated_text
    return [{"start": "12:05", "end": "12:52", "classification": str(classification)}]


# print(pipeline("VL5M5ZihJK4"))
demo = gr.Interface(
    fn=pipeline,
    title=title,
    description=description,
    inputs="text",
    #    outputs=gr.Label(num_top_classes=3),
    outputs="json",
    examples=[
        "https://www.youtube.com/watch?v=VL5M5ZihJK4",
        "https://www.youtube.com/watch?v=VL5M5ZihJK4",
    ],
)
demo.launch(share=True)