app.py

from youtubesearchpython import VideosSearch, Transcript  # Changed import statement
import gradio as gr  # Added import statement for Gradio
import openai
import os

# openai.api_key = os.getenv('O_API_KEY')

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

# Function to get the transcript for a given list of video URLs
def get_transcript(urls):
    contents = ''
    for url in urls:
        data = Transcript.get(url)
        text = ""
        for segment in data['segments']:
            text += segment['text']
        contents += text
    return contents

# Function to summarize text using OpenAI's API
def summarize_text(contents, OPENAI_API_KEY):
    
    response = openai.ChatCompletion.create(
        model="gpt-4-turbo-preview",  # Corrected engine identifier
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": f"Summarize this: {contents}"}
        ],
        headers={
            "Content-Type": "application/json",
            "Authorization": f"Bearer {OPENAI_API_KEY}"
        }
    )
    return response.choices[0].message['content'].strip()
# def summarize_text(contents):
#     response = openai.ChatCompletion.create(
#         engine="gpt-3.5-turbo",
#         prompt=f"요약: {contents}",
#         max_tokens=150
#     )
#     return response.choices[0].text.strip()

# Function to integrate all the functionalities
def summarize_youtube_videos(keyword):
    urls = search_youtube_videos(keyword)
    contents = get_transcript(urls)
    summary = summarize_text(contents)
    return summary

# # Define Gradio interface
# iface = gr.Interface(
#     input = gr.Textbox(label="keyword", placeholder='키워드를 입력하세요. (예.비트코인)'),
#     OPENAI_API_KEY = gr.Textbox(label="OpenAI API 키", placeholder="여기에 OpenAI API 키를 입력하세요"),
#     output =gr.JSON(label='유튜브 5개 요약 결과'),
#     result = gr.Button('submit'),
#     result.click(
#         fn = summarize_youtube_videos,
#         inputs = [input, OPEN_API_KEY],
#         outputs = [output]
#     ),
#     title="Summarize YouTube Videos",
#     description="Enter a keyword to summarize related YouTube videos.")

# # Launch Gradio interface
# iface.launch()

# Define Gradio interface
iface = gr.Interface(
    inputs=[
        gr.Textbox(label="keyword", placeholder='키워드를 입력하세요. (예.비트코인)'),
        gr.Textbox(label="OpenAI API 키", placeholder="여기에 OpenAI API 키를 입력하세요")
    ],
    outputs=gr.JSON(label='유튜브 5개 요약 결과'),
    title="Summarize YouTube Videos",
    description="Enter a keyword to summarize related YouTube videos.",
    fn=summarize_button_click  # 클릭 이벤트를 처리하는 함수를 여기에 정의합니다.
)

def summarize_button_click(keyword, OPENAI_API_KEY):
    summary = summarize_youtube_videos(keyword, OPENAI_API_KEY)
    return summary

# Launch Gradio interface
iface.launch()