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| # URL To YoutubeID | |
| from urllib.parse import urlparse | |
| def get_yt_video_id(url): | |
| from urllib.parse import urlparse, parse_qs | |
| if url.startswith(('youtu', 'www')): | |
| url = 'http://' + url | |
| query = urlparse(url) | |
| if 'youtube' in query.hostname: | |
| if query.path == '/watch': | |
| return parse_qs(query.query)['v'][0] | |
| elif query.path.startswith(('/embed/', '/v/')): | |
| return query.path.split('/')[2] | |
| elif 'youtu.be' in query.hostname: | |
| return query.path[1:] | |
| else: | |
| raise ValueError | |
| # Transcription and text formatting | |
| from youtube_transcript_api import YouTubeTranscriptApi | |
| from youtube_transcript_api.formatters import TextFormatter | |
| def transcribe(youtubeId): | |
| transcription = YouTubeTranscriptApi.get_transcript(youtubeId) | |
| return transcription | |
| formatter = TextFormatter() | |
| def transcriptToText(transcript): | |
| text = formatter.format_transcript(transcript) | |
| text = text.replace("\n", " ") | |
| return text | |
| # Summary using OpenAI API | |
| import openai | |
| def textToSummary(text,OpenAIkey): | |
| openai.api_key = OpenAIkey | |
| response = openai.Completion.create( | |
| model="text-davinci-003", | |
| prompt= "Summarize this in 200 words or less:\n\n" + text, | |
| temperature=0.7, | |
| max_tokens=400, | |
| top_p=1.0, | |
| frequency_penalty=0.0, | |
| presence_penalty=1 | |
| ) | |
| return response["choices"][0]["text"].replace("\n", " ").strip() | |
| def summarize(url,OpenAIkey): | |
| videoId = get_yt_video_id(url) | |
| transcript = transcribe(videoId) | |
| text = transcriptToText(transcript) | |
| summary = textToSummary(text,OpenAIkey) | |
| return summary | |
| # Gradio Setup | |
| import gradio as gr | |
| description = "Enter a link for a YouTube video you want summarized" | |
| gr.Interface(fn=summarize, | |
| inputs=["text", "text"], | |
| outputs=["textbox"], | |
| description=description | |
| ).launch() | |