| """Kaggle notebook body: director -> TTS in one run, with two interpreters. |
| |
| The clash: Ming pins transformers 4.46.3, Qwen3.5 needs 5.x, and one |
| site-packages cannot hold both. So transformers 5 is installed into a private |
| directory and the director runs with PYTHONPATH pointing at it, while the radio |
| stage keeps the pinned 4.46.3. |
| |
| Order matters: Ming's dependencies are installed first and never touched again. |
| |
| Stages: |
| 1. Ming environment (repo, pinned deps, weights, bundle) |
| 2. transformers 5 into /kaggle/working/tf5 |
| 3. fine-tune the director on the 160 scripts in the bundle (skipped if the |
| model is already on disk) |
| 4. director writes one programme to director/script.json |
| 5. radio stage renders it with the 4-step student and the teacher |
| """ |
| import os |
| import subprocess |
| import sys |
| import time |
|
|
| ROOT = "/kaggle/working" |
| BUNDLE = f"{ROOT}/webfm-eval" |
| TF5 = f"{ROOT}/tf5" |
|
|
|
|
| def log(msg: str) -> None: |
| print(f"[{time.strftime('%H:%M:%S')}] {msg}", flush=True) |
|
|
|
|
| def sh(cmd: str, env: dict | None = None) -> int: |
| log(f"$ {cmd}") |
| rc = subprocess.run(cmd, shell=True, env=env).returncode |
| if rc != 0: |
| log(f"failed ({rc}): {cmd}") |
| return rc |
|
|
|
|
| def stage_ming() -> None: |
| if not os.path.exists(f"{ROOT}/Ming-3.0-tts"): |
| sh(f"git clone https://github.com/inclusionAI/Ming-3.0-tts.git {ROOT}/Ming-3.0-tts") |
| sh(f"git -C {ROOT}/Ming-3.0-tts checkout e999c39") |
| sh('pip install -q "transformers==4.46.3" tokenizers "accelerate==1.3.0" ' |
| 'huggingface_hub "soundfile==0.12.1" tqdm loguru "x_transformers==2.9.2" ' |
| '"diffusers==0.33.0" onnxruntime onnx onnx_ir onnxscript inflect einops packaging') |
| if not os.path.exists(f"{ROOT}/Ming-3.0-tts-0.5b"): |
| sh("python3 -c \"from huggingface_hub import snapshot_download as s; " |
| f"s('inclusionAI/Ming-3.0-tts-0.5B', local_dir=r'{ROOT}/Ming-3.0-tts-0.5b', repo_type='model')\"") |
|
|
|
|
| def stage_tf5() -> None: |
| if os.path.exists(f"{TF5}/transformers"): |
| log("transformers 5 already installed") |
| return |
| |
| |
| |
| sh(f"pip install -q --target {TF5} 'transformers>=5' 'huggingface_hub>=1.31,<2'") |
| out = subprocess.run([sys.executable, "-c", |
| "import transformers; print(transformers.__version__)"], |
| capture_output=True, text=True, |
| env=dict(os.environ, PYTHONPATH=TF5)) |
| log(f"tf5 transformers: {out.stdout.strip() or out.stderr[-300:]}") |
|
|
|
|
| def main() -> None: |
| log("== stage 1: ming ==") |
| stage_ming() |
| from huggingface_hub import snapshot_download |
| snapshot_download("idefinity/webfm-eval", repo_type="dataset", local_dir=BUNDLE) |
|
|
| log("== stage 2: transformers 5 in a private dir ==") |
| stage_tf5() |
|
|
| env5 = dict(os.environ, WORK_ROOT=ROOT, PYTHONPATH=TF5) |
| model = f"{ROOT}/director/model" |
| if not os.path.exists(f"{model}/config.json"): |
| log("== stage 3: fine-tune the director ==") |
| rc = subprocess.run([sys.executable, f"{BUNDLE}/kaggle/director_sft.py"], |
| env=env5).returncode |
| log(f"train rc={rc}") |
| if rc != 0: |
| raise SystemExit("director training failed") |
|
|
| log("== stage 4: write the programme ==") |
| rc = subprocess.run([sys.executable, f"{BUNDLE}/kaggle/director_probe.py"], |
| env=dict(env5, MODE="script", |
| TOPIC=os.environ.get("TOPIC", "雨夜的末班公交"), |
| DIRECTOR_MODEL=model)).returncode |
| log(f"director rc={rc}") |
| script = f"{ROOT}/director/script.json" |
| if not os.path.exists(script): |
| raise SystemExit("no script.json") |
|
|
| log("== stage 5: render ==") |
| rc = subprocess.run([sys.executable, f"{BUNDLE}/kaggle/radio_demo.py"], |
| env=dict(os.environ, WORK_ROOT=ROOT, SCRIPT_FILE=script)).returncode |
| log(f"radio rc={rc}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
