Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Code Generated by Sidekick is for learning and experimentation purposes only.
|
| 2 |
+
from youtube_transcript_api import YouTubeTranscriptApi
|
| 3 |
+
from urllib.parse import urlparse, parse_qs
|
| 4 |
+
import torch
|
| 5 |
+
from transformers import pipeline
|
| 6 |
+
import gradio as gr
|
| 7 |
+
|
| 8 |
+
model_path = "models--sshleifer--distilbart-cnn-12-6/snapshots/a4f8f3ea906ed274767e9906dbaede7531d660ff"
|
| 9 |
+
text_summary = pipeline("summarization", model=model_path, torch_dtype=torch.bfloat16)
|
| 10 |
+
|
| 11 |
+
# Code Generated by Sidekick is for learning and experimentation purposes only.
|
| 12 |
+
def summary(input_text, max_chunk_length=800):
|
| 13 |
+
chunks = []
|
| 14 |
+
while len(input_text) > max_chunk_length:
|
| 15 |
+
split_point = input_text[:max_chunk_length].rfind('.')
|
| 16 |
+
if split_point == -1:
|
| 17 |
+
split_point = max_chunk_length
|
| 18 |
+
chunks.append(input_text[:split_point+1])
|
| 19 |
+
input_text = input_text[split_point+1:]
|
| 20 |
+
if input_text:
|
| 21 |
+
chunks.append(input_text)
|
| 22 |
+
summaries = []
|
| 23 |
+
for i, chunk in enumerate(chunks):
|
| 24 |
+
try:
|
| 25 |
+
output = text_summary(chunk)
|
| 26 |
+
if output and 'summary_text' in output[0]:
|
| 27 |
+
summaries.append(output[0]['summary_text'])
|
| 28 |
+
else:
|
| 29 |
+
print(f"Warning: No summary returned for chunk {i}.")
|
| 30 |
+
except Exception as e:
|
| 31 |
+
print(f"Error summarizing chunk {i}: {e}")
|
| 32 |
+
return " ".join(summaries)
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
def get_video_id(youtube_url):
|
| 36 |
+
query = urlparse(youtube_url)
|
| 37 |
+
if query.hostname == 'youtu.be':
|
| 38 |
+
return query.path[1:]
|
| 39 |
+
if query.hostname in ('www.youtube.com', 'youtube.com'):
|
| 40 |
+
if query.path == '/watch':
|
| 41 |
+
return parse_qs(query.query)['v'][0]
|
| 42 |
+
elif query.path[:7] == '/embed/':
|
| 43 |
+
return query.path.split('/')[2]
|
| 44 |
+
elif query.path[:3] == '/v/':
|
| 45 |
+
return query.path.split('/')[2]
|
| 46 |
+
return None
|
| 47 |
+
|
| 48 |
+
def get_transcript(youtube_url):
|
| 49 |
+
video_id = get_video_id(youtube_url)
|
| 50 |
+
if not video_id:
|
| 51 |
+
print("Invalid YouTube URL.")
|
| 52 |
+
return
|
| 53 |
+
try:
|
| 54 |
+
transcript = YouTubeTranscriptApi.get_transcript(video_id)
|
| 55 |
+
full_transcript = " ".join([entry['text'] for entry in transcript])
|
| 56 |
+
# print(full_transcript)
|
| 57 |
+
summary_text = summary(full_transcript)
|
| 58 |
+
return summary_text
|
| 59 |
+
except Exception as e:
|
| 60 |
+
print(f"Could not retrieve transcript: {e}")
|
| 61 |
+
|
| 62 |
+
if __name__ == "__main__":
|
| 63 |
+
# url = input("Enter YouTube video URL: ")
|
| 64 |
+
# url = "https://www.youtube.com/watch?v=1CwHTRGLyjE"
|
| 65 |
+
# summarized_text = get_transcript(url)
|
| 66 |
+
# if summarized_text:
|
| 67 |
+
# print("Summary:\n", summarized_text)
|
| 68 |
+
gr.close_all()
|
| 69 |
+
|
| 70 |
+
# demo = gr.Interface(fn=summary, inputs="text",outputs="text")
|
| 71 |
+
demo = gr.Interface(fn=get_transcript,
|
| 72 |
+
inputs=[gr.Textbox(label="Input Youtube URL to summarize", lines=1)],
|
| 73 |
+
outputs=[gr.Textbox(label="Summarized text", lines=4)],
|
| 74 |
+
title="@pavan-genai Project 2: Youtube Script Summarizer",
|
| 75 |
+
description="THIS APPLICATION WILL BE USED TO SUMMARIZE THE YOUTUBE VIDEO")
|
| 76 |
+
demo.launch()
|