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import gradio as gr
import pytube
from transformers import pipeline
from time import sleep
generator = pipeline('text-generation', model='parseny/youtube_comment_generation_02')
def generate(text):
yt = pytube.YouTube(text)
while True:
try:
title = yt.title
break
except:
sleep(1)
yt = pytube.YouTube(text)
continue
title = title.lower()
title = title.replace("[^a-zA-Z#]", " ")
title = title.replace(" +", " ")
prompt = f"Title: {title}\nComment:"
result = generator(prompt, max_new_tokens=30, num_return_sequences=1, do_sample=True)
return result[0]["generated_text"]
examples = [
["https://www.youtube.com/watch?v=mCV44C5rQ2M"],
["https://www.youtube.com/watch?v=sitXeGjm4Mc"],
["https://www.youtube.com/watch?v=oQS8KUoWL8E"],
]
demo = gr.Interface(
fn=generate,
inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
outputs=gr.outputs.Textbox(label="Generated Text"),
examples=examples
)
demo.launch()