Create app.py

app.py

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+import re
+import gradio as gr
+import torch
+from transformers import pipeline
+from youtube_transcript_api import YouTubeTranscriptApi
+from youtube_transcript_api.formatters import TextFormatter
+
+# Initialize the summarization pipeline
+text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
+
+def summary(text_youtube):
+    output = text_summary(text_youtube)
+    return output[0]['summary_text']
+
+def extract_video_id(url):
+    # Regex to extract the video ID from various YouTube URL formats
+    regex = r"(?:youtube\.com\/(?:[^\/\n\s]+\/\S+\/|(?:v|e(?:mbed)?)\/|\S*?[?&]v=)|youtu\.be\/)([a-zA-Z0-9_-]{11})"
+    match = re.search(regex, url)
+    if match:
+        return match.group(1)
+    return None
+
+def get_youtube_transcript(video_url):
+    video_id = extract_video_id(video_url)
+    if not video_id:
+        return "Video ID could not be extracted.", ""
+
+    try:
+        # Fetch the transcript
+        transcript = YouTubeTranscriptApi.get_transcript(video_id)
+
+        # Format the transcript into plain text
+        formatter = TextFormatter()
+        text_transcript = formatter.format_transcript(transcript)
+        summary_text = summary(text_transcript)
+
+        return text_transcript, summary_text
+    except Exception as e:
+        return f"An error occurred: {e}", ""
+
+# Remove any existing Gradio interfaces
+gr.close_all()
+
+# Define the Gradio interface
+demo = gr.Interface(
+    fn=get_youtube_transcript,
+    inputs=[gr.Textbox(label="Input YouTube URL to summarize", lines=1)],
+    outputs=[
+        gr.Textbox(label="Text extracted from video", lines=4),
+        gr.Textbox(label="Summarized text", lines=4)
+    ],
+    title="YouTube Script for Text Extract & Summarizer"
+)
+
+# Launch the Gradio interface
+demo.launch(auth=('youtube','test@123'))