app.py

import gradio as gr
from youtube_transcript_api import YouTubeTranscriptApi
from deep_translator import GoogleTranslator

# Agent 1: Summarizer
def summarize_youtube(video_url):
    try:
        video_id = video_url.split("v=")[-1]
        transcript = YouTubeTranscriptApi.get_transcript(video_id)
        text = " ".join([entry["text"] for entry in transcript[:15]])
        return text[:500]
    except Exception as e:
        return f"Error: {e}"

# Agent 2: Translator
def translate_to_spanish(english_text):
    try:
        return GoogleTranslator(source='auto', target='es').translate(english_text)
    except Exception as e:
        return f"Error: {e}"

# Workflow function
def agent_workflow(video_url):
    summary = summarize_youtube(video_url)
    translated = translate_to_spanish(summary)
    return summary, translated

# Gradio UI
demo = gr.Interface(
    fn=agent_workflow,
    inputs=gr.Textbox(label="YouTube Video Link"),
    outputs=[gr.Textbox(label="English Summary"), gr.Textbox(label="Spanish Translation")],
    title="Lead with AI Agents",
    description="🔹 Agent 1: Summarizes YouTube video 🔹 Agent 2: Translates to Spanish"
)

demo.launch()