Update app.py

app.py

@@ -2,117 +2,51 @@ import os
 import sys
 import subprocess
 import time
+import shutil
+import psutil
 from huggingface_hub import snapshot_download
 
 MODEL_REPO = "tencent/HunyuanVideo-Avatar"
 BASE_DIR = os.getcwd()
 WEIGHTS_DIR = os.path.join(BASE_DIR, "weights")
 OUTPUT_BASEPATH = os.path.join(BASE_DIR, "results-poor")
+CUSTOM_CACHE_DIR = "/data/hf_cache"  # ✅ change if different
+HF_HOME_ENV = {"HF_HOME": CUSTOM_CACHE_DIR}
+
+# Paths to required checkpoints
+CHECKPOINT_FILE = os.path.join(WEIGHTS_DIR, "ckpts", "hunyuan-video-t2v-720p", "transformers", "mp_rank_00_model_states.pt")
+CHECKPOINT_FP8_FILE = os.path.join(WEIGHTS_DIR, "ckpts", "hunyuan-video-t2v-720p", "transformers", "mp_rank_00_model_states_fp8.pt")
+
+def check_disk_space(min_free_gb=10):
+    total, used, free = shutil.disk_usage("/")
+    free_gb = free // (2**30)
+    print(f"💾 Disk space: {free_gb}GB free")
+    if free_gb < min_free_gb:
+        print(f"❌ Not enough disk space. {free_gb}GB available, {min_free_gb}GB required.")
+        sys.exit(1)
 
-# Specific checkpoint to use in the poor sampling run
-CHECKPOINT_FILE = os.path.join(
-    WEIGHTS_DIR,
-    "ckpts",
-    "hunyuan-video-t2v-720p",
-    "transformers",
-    "mp_rank_00_model_states.pt"
-)
-CHECKPOINT_FP8_FILE = os.path.join(
-    WEIGHTS_DIR,
-    "ckpts",
-    "hunyuan-video-t2v-720p",
-    "transformers",
-    "mp_rank_00_model_states_fp8.pt"
-)
+def clear_hf_cache():
+    hf_cache = os.path.expanduser("~/.cache/huggingface")
+    if os.path.exists(hf_cache):
+        print("🧹 Cleaning Hugging Face cache...")
+        shutil.rmtree(hf_cache)
 
 def download_model():
-    print("⬇️  Model not found. Downloading with snapshot_download into weights directory...")
+    print("⬇️  Downloading model to weights directory...")
     os.makedirs(WEIGHTS_DIR, exist_ok=True)
 
     snapshot_download(
         repo_id=MODEL_REPO,
         local_dir=WEIGHTS_DIR,
-        local_dir_use_symlinks=False
+        local_dir_use_symlinks=False,
+        **HF_HOME_ENV
     )
 
     if not os.path.isfile(CHECKPOINT_FILE):
-        print(f"❌ Checkpoint file not found at {CHECKPOINT_FILE} after download.")
+        print(f"❌ Checkpoint missing at {CHECKPOINT_FILE}")
         sys.exit(1)
-    
     if not os.path.isfile(CHECKPOINT_FP8_FILE):
-        print(f"❌ FP8 checkpoint file not found at {CHECKPOINT_FP8_FILE}. Cannot proceed with sample_gpu_poor.py.")
-        sys.exit(1)
-
-    print("✅ Model downloaded successfully.")
-
-def run_sample_gpu_poor():
-    print("🎬 Running sample_gpu_poor.py...")
-    cmd = [
-        "python3", "hymm_sp/sample_gpu_poor.py",
-        "--input", "assets/test.csv",
-        "--ckpt", CHECKPOINT_FP8_FILE,
-        "--sample-n-frames", "129",
-        "--seed", "128",
-        "--image-size", "704",
-        "--cfg-scale", "7.5",
-        "--infer-steps", "50",
-        "--use-deepcache", "1",
-        "--flow-shift-eval-video", "5.0",
-        "--save-path", OUTPUT_BASEPATH,
-        "--use-fp8",
-        "--cpu-offload",
-        "--infer-min"
-    ]
-
-    env = os.environ.copy()
-    env["PYTHONPATH"] = "./"
-    env["MODEL_BASE"] = WEIGHTS_DIR
-    env["CPU_OFFLOAD"] = "1"
-    env["CUDA_VISIBLE_DEVICES"] = "0"
-
-    proc = subprocess.run(cmd, env=env)
-    if proc.returncode != 0:
-        print("❌ sample_gpu_poor.py failed.")
+        print(f"❌ FP8 Checkpoint missing at {CHECKPOINT_FP8_FILE}")
         sys.exit(1)
-    print("✅ sample_gpu_poor.py completed successfully.")
-
-def run_flask_audio():
-    print("🚀 Starting flask_audio.py...")
-    cmd = [
-        "torchrun",
-        "--nnodes=1",
-        "--nproc_per_node=8",
-        "--master_port=29605",
-        "hymm_gradio/flask_audio.py",
-        "--input", "assets/test.csv",
-        "--ckpt", CHECKPOINT_FILE,
-        "--sample-n-frames", "129",
-        "--seed", "128",
-        "--image-size", "704",
-        "--cfg-scale", "7.5",
-        "--infer-steps", "50",
-        "--use-deepcache", "1",
-        "--flow-shift-eval-video", "5.0"
-    ]
-    subprocess.Popen(cmd)
-
-def run_gradio_ui():
-    print("🟢 Starting gradio_audio.py UI...")
-    cmd = ["python3", "hymm_gradio/gradio_audio.py"]
-    subprocess.Popen(cmd)
-
-def main():
-    if os.path.isfile(CHECKPOINT_FILE) and os.path.isfile(CHECKPOINT_FP8_FILE):
-        print("✅ Model checkpoint already exists. Skipping download.")
-    else:
-        download_model()
-
-    run_sample_gpu_poor()
-
-    # Optional: Start Flask and Gradio UIs after poor sample run
-    run_flask_audio()
-    time.sleep(5)
-    run_gradio_ui()
 
-if __name__ == "__main__":
-    main()
+    print("✅ Model downloaded suc