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Create app.py
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app.py
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import streamlit as st
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import openai
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from youtube_transcript_api import YouTubeTranscriptApi
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# Function to get YouTube transcript
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def get_transcript(video_id):
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"""Fetches the transcript for a given YouTube video ID."""
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try:
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transcript_list = YouTubeTranscriptApi.get_transcript(video_id)
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transcript = " ".join([entry['text'] for entry in transcript_list])
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return transcript
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except Exception as e:
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st.error(f"Error fetching transcript: {e}")
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return None
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# Function to summarize the transcript using OpenAI's GPT API
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def summarize_transcript(transcript):
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"""Summarizes the given transcript using OpenAI's GPT API."""
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if transcript is None:
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return None
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "You are a helpful AI assistant that summarizes YouTube videos."},
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{"role": "user", "content": f"Please provide a concise summary of the following YouTube video transcript:\n\n{transcript}"}
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]
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)
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summary = response.choices[0].message["content"].strip()
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return summary
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# Function to generate a 1-minute YouTube Shorts script based on the summary
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def generate_shorts_script(summary):
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"""Generates a 1-minute shorts script based on the summary."""
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if summary is None:
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return None
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[
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{"role": "system", "content": "You are a creative script writer for YouTube Shorts."},
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{"role": "user", "content": f"Write a captivating and engaging 1-minute script for a YouTube Short based on this summary: {summary}. Focus on impactful visuals and concise storytelling."}
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]
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)
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script = response.choices[0].message["content"].strip()
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return script
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# Streamlit UI
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st.title("YouTube Video to Shorts Script Converter")
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# Input fields
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openai_api_key = st.text_input("OpenAI API Key", type="password")
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video_id = st.text_input("YouTube Video ID")
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if st.button("Generate Shorts Script"):
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if openai_api_key and video_id:
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try:
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# Set OpenAI API key
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openai.api_key = openai_api_key
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# Get transcript
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transcript = get_transcript(video_id)
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# Summarize the transcript
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summary = summarize_transcript(transcript)
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# Generate shorts script
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if summary:
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shorts_script = generate_shorts_script(summary)
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# Display the generated shorts script
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if shorts_script:
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st.write("Generated YouTube Shorts Script:")
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st.write(shorts_script)
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except Exception as e:
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st.error(f"An error occurred: {e}")
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else:
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st.error("Please fill in both the OpenAI API Key and YouTube Video ID.")
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