Delete app.py

app.py

@@ -1,104 +0,0 @@
-#!/usr/bin/env python3
-import os
-import sys
-import subprocess
-import gradio as gr
-import torch
-
-sys.path.insert(0, '/app/FunGen')
-
-def process_video(video, mode, overwrite, autotune):
-    """Process video with FunGen"""
-    print(f"[DEBUG] Called with video={video}, mode={mode}, overwrite={overwrite}, autotune={autotune}")
-    
-    if video is None:
-        return "❌ No video uploaded", None
-    
-    try:
-        input_path = video
-        print(f"[DEBUG] Input path: {input_path}")
-        
-        if not os.path.exists(input_path):
-            return f"❌ File not found: {input_path}", None
-        
-        file_size_mb = os.path.getsize(input_path) / (1024**2)
-        status = f"🚀 Processing: {os.path.basename(input_path)}\n"
-        status += f"📁 Size: {file_size_mb:.1f} MB\n"
-        status += f"⚙️  Mode: {mode}\n"
-        status += f"⏳ Starting...\n\n"
-        
-        print(f"[DEBUG] Status: {status}")
-        
-        cmd = ["python", "/app/FunGen/main.py", input_path, "--mode", mode, "--skip-dependency-check"]
-        if overwrite:
-            cmd.append("--overwrite")
-        if not autotune:
-            cmd.append("--no-autotune")
-        
-        print(f"[DEBUG] Command: {' '.join(cmd)}")
-        
-        # Set environment to suppress FunGen checks
-        env = os.environ.copy()
-        env['PYTHONDONTWRITEBYTECODE'] = '1'
-        
-        result = subprocess.run(cmd, cwd="/app/FunGen", capture_output=True, text=True, timeout=3600, env=env)
-        
-        # Check if processing succeeded despite dependency warnings
-        if "ERROR" in result.stderr and "torch-tensorrt" not in result.stderr:
-            error = f"❌ Error:\n{result.stderr}"
-            print(f"[DEBUG] Error: {error}")
-            return error, None
-        
-        # If torch-tensorrt warning but funscript was generated, that's OK
-        if os.path.exists("/app/FunGen/output"):
-            for root, dirs, files in os.walk("/app/FunGen/output"):
-                for f in files:
-                    if f.endswith(".funscript") and not f.endswith(".roll.funscript"):
-                        output_file = os.path.join(root, f)
-                        status += f"✅ Complete!\n📜 {os.path.basename(output_file)}"
-                        print(f"[DEBUG] Success: {status}")
-                        return status, output_file
-        
-        # No output found
-        status += f"⚠️ Processing completed but no funscript found"
-        print(f"[DEBUG] No output: {status}")
-        return status, None
-    
-    except Exception as e:
-        error = f"❌ Exception: {str(e)}"
-        print(f"[DEBUG] Exception: {error}")
-        import traceback
-        print(traceback.format_exc())
-        return error, None
-
-with gr.Blocks(title="FunGen") as demo:
-    gr.Markdown("# 🎬 FunGen - Funscript Generator")
-    
-    with gr.Row():
-        gpu_info = "✅ GPU Available" if torch.cuda.is_available() else "❌ No GPU"
-        gr.Textbox(value=gpu_info, label="Status", interactive=False)
-    
-    with gr.Row():
-        with gr.Column():
-            video_input = gr.File(label="Upload Video", file_types=["video"], type="filepath")
-            mode_input = gr.Dropdown(
-                ["Hybrid Intelligence Tracker", "Oscillation Detector (Legacy)", "YOLO ROI Tracker"],
-                value="Hybrid Intelligence Tracker",
-                label="Mode"
-            )
-            overwrite_input = gr.Checkbox(label="Overwrite", value=False)
-            autotune_input = gr.Checkbox(label="Apply Autotune", value=True)
-            process_btn = gr.Button("Process Video", variant="primary")
-        
-        with gr.Column():
-            status_output = gr.Textbox(label="Status", lines=8, interactive=False)
-            file_output = gr.File(label="Download", interactive=False)
-    
-    process_btn.click(
-        fn=process_video,
-        inputs=[video_input, mode_input, overwrite_input, autotune_input],
-        outputs=[status_output, file_output]
-    )
-
-if __name__ == "__main__":
-    demo.queue().launch(server_name="0.0.0.0", server_port=7860, show_error=True)