app.py

import gradio as gr
from utils import *
from youtube_api_test import *
from prompt import *
from final_channal_analyzer import *
from final_video_analyzer import *

css = """
.gradio-container {
    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
}
.main {
    background: rgba(255, 255, 255, 0.98);
    border-radius: 25px;
    margin: 20px;
    padding: 40px;
    box-shadow: 0 25px 80px rgba(0,0,0,0.15);
    backdrop-filter: blur(10px);
}
.analysis-button {
    background: linear-gradient(45deg, #4facfe, #00f2fe) !important;
    border: none !important;
    color: white !important;
    font-weight: bold !important;
    border-radius: 15px !important;
    padding: 15px 30px !important;
    margin: 10px !important;
    transition: all 0.3s ease !important;
    box-shadow: 0 6px 20px rgba(79, 172, 254, 0.3) !important;
}
.analysis-button:hover {
    transform: translateY(-3px) !important;
    box-shadow: 0 10px 30px rgba(79, 172, 254, 0.4) !important;
}
.shorts-button {
    background: linear-gradient(45deg, #ff6b6b, #feca57) !important;
    box-shadow: 0 6px 20px rgba(255, 107, 107, 0.3) !important;
}
.shorts-button:hover {
    box-shadow: 0 10px 30px rgba(255, 107, 107, 0.4) !important;
}
"""

with gr.Blocks(css=css, title="YouTube Analyzer Pro - Specialized Analysis") as demo:
    gr.HTML("""
    <div style='text-align:center; padding:30px; background:linear-gradient(45deg,#ff6b6b,#feca57,#48cae4); border-radius:20px; margin-bottom:30px;'>
        <h1 style='color:white; font-size:3em; margin:0; text-shadow:3px 3px 6px rgba(0,0,0,0.4); font-weight:800;'>
            🏆 YouTube Analyzer Pro
        </h1>
        <p style='color:white; font-size:1.4em; margin:15px 0 0 0; text-shadow:2px 2px 4px rgba(0,0,0,0.3); font-weight:500;'>
            AI-Powered Specialized Content Analysis
        </p>
        <p style='color:rgba(255,255,255,0.9); font-size:1.1em; margin:10px 0 0 0; text-shadow:1px 1px 2px rgba(0,0,0,0.3);'>
            📹 Deep Video Analysis • 🎬 Shorts Intelligence • 💬 Comment Insights
        </p>
    </div>
    """)
    
    with gr.Tabs():
                     
        with gr.Tab("📊 Youtube Channel Specialized Analysis"):
            gr.HTML("<h2 style='text-align:center; color:#2C3E50; margin:20px 0;'>🔍 Choose Your Analysis Type ~60s</h2>")
            
            with gr.Row():
                with gr.Column(scale=2):
                    channel_input = gr.Textbox(
                        label="🎯 YouTube Channel Name", 
                        value="MrBeast", 
                        placeholder="Enter YouTube channel Name for specialized analysis...",
                        info="📝 Extract channel name from URL - if URL is https://www.youtube.com/@MrBeast, enter 'MrBeast'",
                        lines=1
                    )
                with gr.Column(scale=1):
                    max_videos_slider = gr.Slider(
                        minimum=2,
                        maximum=10,
                        value=5,
                        step=1,
                        label="📊 Max Videos/Shorts to Analyze",
                        info="🎯 Select 2-10 content pieces for analysis"
                    )
            
            # Two specialized analysis buttons
            with gr.Row():
                with gr.Column():
                    videos_btn = gr.Button(
                        "📹 Analyze Videos",
                        variant="primary",
                        size="large",
                        elem_classes=["analysis-button"]
                    )
                with gr.Column():
                    shorts_btn = gr.Button(
                        "🎬 Analyze Shorts", 
                        variant="secondary",
                        size="large",
                        elem_classes=["analysis-button", "shorts-button"]
                    )
            
            with gr.Row():
                analysis_result = gr.Markdown(
                    label="🎯 AI Intelligence Report",
                    elem_classes=["analysis-report"]
                )
            
            dashboard_plot = gr.Plot(
                label="📊 Interactive Analytics Dashboard",
                elem_classes=["dashboard-plot"]
            )
            
            videos_btn.click(
                fn=lambda channel_input, max_videos: analyze_content_batch(channel_input, "videos", max_videos),
                inputs=[channel_input, max_videos_slider],
                outputs=[analysis_result, dashboard_plot],
                show_progress=True
            )
            
            shorts_btn.click(
                fn=lambda channel_input, max_videos: analyze_content_batch(channel_input, "shorts", max_videos),
                inputs=[channel_input, max_videos_slider],
                outputs=[analysis_result, dashboard_plot],
                show_progress=True
            )

        with gr.Tab("🎯 Youtube Single Video Analysis"):
            with gr.Tabs():
                with gr.TabItem("YouTube Channel: Single Video"):
                    with gr.Row():
                        with gr.Column(scale=2):
                            video_id = gr.Textbox(
                                label="YouTube Video ID", 
                                value="hTSaweR8qMI", 
                                placeholder="Enter video ID...",
                                info="💡 The video ID is the part after 'v=' in a YouTube URL\n📺 Example: youtube.com/watch?v=dQw4w9WgXcQ → Enter: dQw4w9WgXcQ"
                            )
                        with gr.Column(scale=1):
                            comment_limit_slider = gr.Slider(
                                minimum=10,
                                maximum=50,
                                value=25,
                                step=5,
                                label="📊 Major Comments to Analyze",
                                info="🎯 Select 10-50 comments for analysis"
                            )
                    
                    video_btn = gr.Button("🚀 Analyze Video In Depth :) ~40s", variant="primary")
                    
                    with gr.Row():
                        with gr.Column(scale=2):
                            video_result = gr.Markdown(label="📊 Comprehensive Analysis Report")
                        
                        with gr.Column(scale=1):
                            gr.HTML("<h3 style='text-align:center; margin:10px;'>🏆 Analytics Dashboard</h3>")
                            
                            video_info_display = gr.Markdown(label="📹 Video Information")
                            sentiment_chart = gr.Image(label="💬 Sentiment Analysis Dashboard", type="pil")
                            opinion_chart = gr.Image(label="👥 Public Opinion Analysis", type="pil")
                    
                    video_btn.click(
                        fn=lambda video_id, comment_limit: comment_analyzer(video_id, comment_limit), 
                        inputs=[video_id, comment_limit_slider], 
                        outputs=[video_result, video_info_display, sentiment_chart, opinion_chart],
                        show_progress=True
                    )       

    gr.HTML("""
    <div style='text-align:center; margin-top:40px; padding:20px; background:rgba(0,0,0,0.05); border-radius:15px;'>
        <p style='color:#7F8C8D; font-size:0.9em; margin:0;'>
            🎯 Specialized Analysis • 💬 Real Comment Insights • 📈 Trend Reasoning 
        </p>
    </div>
    """)

if __name__ == "__main__":
    demo.launch(mcp_server=True)