Delete apps/gradio_app/old-inference.py

apps/gradio_app/old-inference.py

@@ -1,73 +0,0 @@
-import os
-import sys
-import subprocess
-from pathlib import Path
-import uuid
-import torch
-
-# Append the current directory to sys.path
-sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
-
-def run_setup_script():
-    setup_script = os.path.join(os.path.dirname(__file__), "setup_scripts.py")
-    try:
-        result = subprocess.run(["python", setup_script], capture_output=True, text=True, check=True)
-        return result.stdout
-    except subprocess.CalledProcessError as e:
-        return f"Setup script failed: {e.stderr}"
-
-def run_inference(
-    model_path="./ckpts/zeroscope_v2_576w",
-    checkpoint_folder="./ckpts/zeroscope_v2_576w-Ghibli-LoRA",
-    prompt="Studio Ghibli style. Two women walk down coastal village path toward sea, passing colorful houses, sailboats visible.",
-    negative_prompt="ugly, noise, fragment, blur, static video",
-    width=512,
-    height=512,
-    num_frames=16,
-    num_steps=50,
-    guidance_scale=30.0,
-    fps=16,
-    lora_rank=96,
-    lora_scale=0.7,
-    noise_prior=0.1,
-    device="cuda",
-    seed=100
-):
-    output_dir = "apps/gradio_app/temp_data"
-    os.makedirs(output_dir, exist_ok=True)
-
-    command = [
-        "python", "src/third_party/MotionDirector/main_inference.py",
-        "--model", model_path,
-        "--checkpoint_folder", checkpoint_folder,
-        "--prompt", prompt,
-        "--negative-prompt", negative_prompt,
-        "--width", str(width),
-        "--height", str(height),
-        "--num-frames", str(num_frames),
-        "--num-steps", str(num_steps),
-        "--guidance-scale", str(guidance_scale),
-        "--fps", str(fps),
-        "--lora_rank", str(lora_rank),
-        "--lora_scale", str(lora_scale),
-        "--noise_prior", str(noise_prior),
-        "--device", device,
-        "--seed", str(seed),
-        "--output_dir", output_dir,
-        "--no-prompt-name"
-    ]
-
-    output_file = [f for f in os.listdir(output_dir) if f.lower().endswith('.mp4')]
-    print(os.path.join(output_dir, output_file[0]) if output_file else "No MP4 files found.")
-
-    try:
-        result = subprocess.run(command, capture_output=True, text=True, check=True)
-        return str(output_file), result.stdout
-    except subprocess.CalledProcessError as e:
-        return None, f"Error: {e.stderr}"
-    
-if __name__ == "__main__":
-    # Example usage
-    video, logs = run_inference(device="cpu" if not torch.cuda.is_available() else "cuda")
-    print(f"Generated Video: {video}")
-    print(f"Logs: {logs}")