app.py

#@title 🎬 AI Film Studio Pro (Advanced Watermark + Analytics)
import gradio as gr
import numpy as np
import random
from diffusers import DiffusionPipeline
from PIL import Image, ImageDraw, ImageFont
import base64

# ===== CONFIG =====
SUPPORTERS = random.randint(50, 200)
KO_FI_LINK = "https://ko-fi.com/fecolywill"
GA_TRACKING_ID = "G-XXXXXXXXXX"  # Replace with your Google Analytics ID
# In your Watermarker class:
class Watermarker:
    def __init__(self):
        try:
            # Try loading default font first
            self.font = ImageFont.load_default().font_variant(size=24)
        except:
            # Fallback to basic font
            self.font = ImageFont.load_default()
        self.color = (255, 255, 255, 128)
        self.position = "bottom-right"
        self.text = "Made with AI Film Studio"

    def apply(self, frames):
        watermarked_frames = []
        for frame in frames:
            img = Image.fromarray(frame)
            draw = ImageDraw.Draw(img, "RGBA")
            
            if self.position == "bottom-right":
                x = img.width - draw.textlength(self.text, self.font) - 20
                y = img.height - 30
            elif self.position == "top-left":
                x, y = 20, 20
            else:  # center
                x = (img.width - draw.textlength(self.text, self.font)) // 2
                y = (img.height - 30) // 2
                
            draw.text((x, y), self.text, fill=self.color, font=self.font)
            
            if self.logo:
                logo_img = Image.open(self.logo).resize((50, 50))
                img.paste(logo_img, (x-60, y-5), logo_img)
                
            watermarked_frames.append(np.array(img))
        return np.stack(watermarked_frames)

watermarker = Watermarker()

# ===== VIDEO GENERATION =====
def generate_video(prompt):
    pipe = DiffusionPipeline.from_pretrained("cerspense/zeroscope_v2_576w")
    frames = pipe(prompt, num_frames=24).frames
    return watermarker.apply(frames), 12  # (watermarked_frames, fps)

# ===== ENHANCED ANALYTICS =====
analytics_js = f"""
<script async src="https://www.googletagmanager.com/gtag/js?id={GA_TRACKING_ID}"></script>
<script>
  window.dataLayer = window.dataLayer || [];
  function gtag(){{dataLayer.push(arguments);}}
  gtag('js', new Date());
  
  // Enhanced tracking
  gtag('config', '{GA_TRACKING_ID}', {{
    'page_title': 'AI Film Studio',
    'page_location': location.href
  }});
  
  function trackAction(type, label) {{
    gtag('event', 'user_action', {{
      'event_category': type,
      'event_label': label,
      'value': 1
    }});
  }}
</script>
"""

# ===== SUPPORT SECTION =====
support_html = f"""
<div style="border-top:1px solid #e6e6e6; padding:25px; text-align:center; margin-top:30px; background:#f9f9f9; border-radius:8px;">
<h3 style="margin-bottom:10px;">❤️ Support This Project</h3>
<p style="margin-bottom:15px;">Enjoying this free tool? Help me add more features!</p>
<a href="{KO_FI_LINK}" target="_blank" onclick="trackAction('support', 'kofi_click')" style="padding:10px 20px; background:#29abe0; color:white; border-radius:5px; text-decoration:none; font-weight:bold; display:inline-block; margin-bottom:15px;">
☕ Buy Me a Coffee
</a>
<p style="color:#666; font-size:0.9em;">🎉 {SUPPORTERS}+ creators have supported!</p>
</div>
"""

# ===== MAIN APP =====
with gr.Blocks(theme=gr.themes.Soft(), title="AI Film Studio Pro") as app:
    # Google Analytics
    gr.HTML(analytics_js)
    
    # Header
    gr.Markdown("# 🎬 AI Film Studio Pro")
    gr.Markdown("Generate **watermarked videos** with professional tracking!")
    
    # Video Generation UI
    with gr.Tab("🎥 Video Creator"):
        with gr.Row():
            prompt = gr.Textbox(label="Describe Your Scene", 
                              placeholder="A spaceship lands in medieval times...")
            style = gr.Dropdown(["Cinematic", "Anime", "Cyberpunk"], label="Style")
        
        generate_btn = gr.Button("Generate Video", variant="primary")
        
        # Video with enhanced download tracking
        video = gr.Video(
            label="Your Video",
            show_download_button=True,
            interactive=False
        )
        
        # Download tracking with quality selection
        download_js = """
        <script>
        document.querySelector('button[aria-label="Download"]').addEventListener('click', () => {
            trackAction('download', 'video_mp4');
            alert('Video downloaded! Consider supporting to unlock HD versions 🚀');
        });
        </script>
        """
        gr.HTML(download_js)
    
    # Watermark Customization (Advanced)
    with gr.Accordion("⚙️ Watermark Settings", open=False):
        watermark_text = gr.Textbox(label="Watermark Text", value="Made with AI Film Studio")
        watermark_color = gr.ColorPicker(label="Color", value="#ffffff")
        watermark_opacity = gr.Slider(0, 100, value=50, label="Opacity (%)")
        watermark_position = gr.Dropdown(["bottom-right", "top-left", "center"], label="Position")
        
        def update_watermark(text, color, opacity, position):
            r, g, b = tuple(int(color.lstrip('#')[i:i+2], 16) for i in (0, 2, 4))
            watermarker.text = text
            watermarker.color = (r, g, b, int(255 * (opacity/100)))
            watermarker.position = position
            return "Watermark settings updated!"
        
        update_btn = gr.Button("Update Watermark")
        update_btn.click(
            fn=update_watermark,
            inputs=[watermark_text, watermark_color, watermark_opacity, watermark_position],
            outputs=gr.Textbox(visible=False)
        )
    
    # Support Footer
    gr.HTML(support_html)
    
    # Generation function
    generate_btn.click(
        fn=generate_video,
        inputs=[prompt],
        outputs=video
    ).then(
        lambda: trackAction("generation", "video_created"),  # Track successful generations
        outputs=None
    )

# ===== DEPLOYMENT =====
if __name__ == "__main__":
    app.launch(debug=True)