app.py

import gradio as gr
from youtubesearchpython import VideosSearch
import whisper
import openai
import os
from pytube import YouTube

# OpenAI API 키 설정
openai.api_key = '여기에 OpenAI API 키 입력'

def search_youtube_videos(keyword, limit=5, order='date'):
    videos_search = VideosSearch(keyword, limit=limit, order=order)
    results = videos_search.result()
    video_urls = [video['link'] for video in results['result']]
    return video_urls

def download_audio_from_youtube(url, output_path="downloaded_audio.mp4"):
    yt = YouTube(url)
    audio_stream = yt.streams.get_audio_only()
    audio_stream.download(output_filename=output_path)
    return output_path

def convert_audio_to_text(audio_path):
    model = whisper.load_model("base")
    result = model.transcribe(audio_path)
    return result["text"]

def summarize_text(text):
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"요약해줘: {text}",
        max_tokens=150
    )
    return response.choices[0].text.strip()

def process_keyword(keyword):
    urls = search_youtube_videos(keyword)
    summaries = []
    for url in urls[:1]:  # 데모를 위해 첫 번째 URL만 처리
        audio_path = download_audio_from_youtube(url)
        text = convert_audio_to_text(audio_path)
        summary = summarize_text(text)
        summaries.append(summary)
        os.remove(audio_path)  # 임시 오디오 파일 삭제
    return summaries

# Gradio 인터페이스
interface = gr.Interface(
    fn=process_keyword,
    inputs=gr.Textbox(label="검색 키워드"),
    outputs=gr.Textbox(label="요약"),
)

interface.launch()


# from youtubesearchpython import VideosSearch
# from langchain_community.document_loaders import YoutubeLoader
# import gradio as gr

# def search_youtube_videos(keyword, limit=5, order='date'):
#     videos_search = VideosSearch(keyword, limit=limit, order='date')
#     results = videos_search.result()

#     video_urls = [video['link'] for video in results['result']]
#     return video_urls

# def gradio_interface(keyword):
#     video_urls = search_youtube_videos(keyword)
#     return "\n".join(video_urls)

# interface = gr.Interface(
#     fn=gradio_interface,
#     inputs=gr.Textbox(label="검색 키워드를 입력하세요"),
#     outputs=gr.Textbox(label="검색된 유튜브 동영상 URL"),
#     title="유튜브 검색 도우미",
#     description="키워드를 입력하면 유튜브에서 해당 키워드로 검색한 후 동영상 URL을 보여줍니다."
# )

# if __name__ == "__main__":
#     interface.launch()