fix(ci): download model from Hugging Face instead of storing in repo

- Remove binary model artifacts tracked in repo (.tflite, saved_model, tfjs model.json)
- CI now downloads best_model.keras from Hugging Face Hub (MythEclipse2737/corn-leaf-disease-classifier)
- Add save_model.py step before convert_onnx.py in CI pipeline
- Remove LFS patterns from .gitattributes (no longer needed)
- Remove lfs:true from checkout action

The model is fetched at CI time using HF_TOKEN secret — no large
binary files stored in git.

Co-Authored-By: Claude <noreply@anthropic.com>

.gitattributes

@@ -1,6 +1 @@
-best_model/best_model.keras filter=lfs diff=lfs merge=lfs -text
+# Model artifacts are downloaded from Hugging Face at CI time — not stored in this repo.
-model/saved_model/variables/variables.data-00000-of-00001 filter=lfs diff=lfs merge=lfs -text
-model/tfjs_model/*.bin filter=lfs diff=lfs merge=lfs -text
-**/best_model.keras filter=lfs diff=lfs merge=lfs -text
-**/variables.data* filter=lfs diff=lfs merge=lfs -text
-**/tfjs_model/*.bin filter=lfs diff=lfs merge=lfs -text

.github/workflows/deploy.yml

@@ -28,8 +28,6 @@ jobs:
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
-        with:
-          lfs: true
 
       - name: Set image prefix
         run: echo "IMAGE_PREFIX=ghcr.io/${GITHUB_REPOSITORY,,}" >> "$GITHUB_ENV"
@@ -37,18 +35,33 @@ jobs:
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
 
-      - name: Set up Python for ONNX conversion
+      - name: Set up Python for model download & export
         if: matrix.service.name == 'ml'
         uses: actions/setup-python@v5
         with:
           python-version: '3.11'
 
-      - name: Generate ONNX model artifact
+      - name: Download model from Hugging Face & export ONNX
         if: matrix.service.name == 'ml'
         working-directory: Machine_Learning
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
         run: |
           python -m pip install --upgrade pip
-          python -m pip install 'tensorflow>=2.13.0' 'tf2onnx>=1.16.1' 'onnx>=1.16.0'
+          python -m pip install 'tensorflow>=2.13.0' 'tf2onnx>=1.16.1' 'onnx>=1.16.0' 'huggingface_hub'
+          python -c "
+          from huggingface_hub import hf_hub_download
+          import os
+          os.makedirs('best_model', exist_ok=True)
+          path = hf_hub_download(
+              repo_id='MythEclipse2737/corn-leaf-disease-classifier',
+              filename='best_model.keras',
+              token=os.environ.get('HF_TOKEN'),
+              local_dir='best_model',
+          )
+          print(f'Model downloaded to {path}')
+          "
+          python save_model.py
           python convert_onnx.py
 
       - name: Log in to GHCR

Machine_Learning/model/saved_model/fingerprint.pb

@@ -1 +0,0 @@
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:39606749746474394

REPORT-ddced09-to-8137057.md

@@ -0,0 +1,139 @@
+# 📊 Laporan Perubahan — `ddced09` → `8137057` (HEAD)
+
+**Periode:** 11 Juni 2026, 15:17 — 19:42 UTC  
+**Branch:** `main`  
+**Total commit:** 6 (ddced09 tidak termasuk, itu adalah base)
+
+---
+
+## 📜 Daftar Commit
+
+| # | Hash | Tanggal | Deskripsi |
+|---|------|---------|-----------|
+| 1 | `b83b2e1` | 15:18 | **feat**: download dataset dari Google Drive saat running locally |
+| 2 | `7a7e5b5` | 15:19 | **fix**: update Google Drive file ID ke link dataset yang benar |
+| 3 | `8c65e33` | 16:31 | **chore**: clear notebook outputs dan tambah `.gitignore` |
+| 4 | `c733f3b` | 16:39 | *WIP commit* |
+| 5 | `4377be1` | 16:49 | **chore**: update notebook execution count dan outputs |
+| 6 | `8137057` | 19:42 | *WIP commit — hasil kerja sesi Hugging Face integration* |
+
+---
+
+## 📁 File yang Berubah (dari `ddced09` → HEAD)
+
+| File | Perubahan | Keterangan |
+|------|-----------|------------|
+| `Machine_Learning/notebook.ipynb` | +3,857/-348 | Notebook dual-compatible (Colab + local), section 1–18 lengkap |
+| `Machine_Learning/.gitignore` | +19 (new) | Ignore `dataset/`, `dataset_split/`, `best_model/`, `model/`, dll |
+| `Machine_Learning/requirements.txt` | +2 | Tambah `gdown` + `huggingface_hub` |
+| `Machine_Learning/save_model.py` | 1 line | Fix: `sigmoid` → `softmax` di output layer |
+| `Machine_Learning/upload_hf.py` | +258 (new) | Script export pipeline + upload ke Hugging Face |
+| `model/model.tflite` | binary | Regenerated (softmax fix) |
+| `model/saved_model/` | binary | Regenerated |
+
+**Total:** 9 file, +3,792 insertions, -348 deletions
+
+---
+
+## 🔍 Detail Perubahan per Area
+
+### 1. Dataset Download (`b83b2e1`, `7a7e5b5`)
+
+- Tambah dependency `gdown` ke `requirements.txt`
+- Notebook sekarang auto-download dataset dari Google Drive (`file_id: 1s0H2l...`) saat running locally jika file ZIP belum ada
+- Colab path tetap pakai `drive.mount()`
+- Drive file ID diupdate di commit `7a7e5b5`
+
+### 2. Notebook Restructuring (`ddced09` → `8c65e33` → `4377be1`)
+
+- Notebook direstruktur dari numbering 1/2/4 menjadi section bernomor rapi 1–17 (kemudian 18)
+- Semua section punya header markdown yang deskriptif
+- Hyperparameter (seed, IMG_SIZE, BATCH_SIZE) ditambahkan
+- Import diperluas: `AdamW`, `compute_class_weight`, `preprocess_input`, `Counter`, `random`
+- Mixed precision policy `float32` eksplisit
+- Cell outputs cleared di commit `8c65e33`
+- Execution count dan outputs diupdate di `4377be1`
+
+### 3. `.gitignore` (`8c65e33`)
+
+File baru `Machine_Learning/.gitignore` mengabaikan:
+- `dataset/`, `dataset_split/`, `dataset_jagung.zip`
+- `best_model/`, `model/`
+- Path development lainnya (`node_modules/`, `.bun/`, `.moon/cache/`, `.env`, `dist/`, `build/`, `coverage/`, `venv/`, `.claude/`, dll)
+
+### 4. `save_model.py` Fix (`8137057`)
+
+```diff
+-    outputs = layers.Dense(num_classes, activation='sigmoid', dtype='float32')(x)
++    outputs = layers.Dense(num_classes, activation='softmax', dtype='float32')(x)
+```
+
+Perbaikan kritis: output 4 kelas harus softmax, bukan sigmoid.
+
+### 5. Hugging Face Upload (`8137057`) 🔥 **Fitur Baru**
+
+**`Machine_Learning/upload_hf.py`** — 258 lines script mandiri:
+
+```
+Pipeline:
+  save_model.py → convert_onnx.py → TFJS converter (optional)
+  → labels.json + README.md
+  → upload ke Hugging Face Hub
+```
+
+- Repo: `MythEclipse2737/corn-leaf-disease-classifier`
+- Auth via `HF_TOKEN` env var
+- TFJS conversion graceful-fail (protobuf version conflict known)
+- Upload semua: `best_model.keras` (213MB) + TFLite + ONNX + SavedModel + TFJS (partial) + labels.json + README.md
+- **Hasil:** 11 files terupload ke https://huggingface.co/MythEclipse2737/corn-leaf-disease-classifier
+
+**Notebook Section 18** — cell markdown + code untuk call `upload_hf.py` otomatis.
+
+---
+
+## 📈 Working Tree (Uncommitted Changes)
+
+Saat ini **tidak ada uncommitted changes** — `8137057` adalah commit terakhir yang mencakup semua hasil kerja.
+
+---
+
+## ✅ Ringkasan Outcome
+
+| Goal | Status |
+|------|--------|
+| Notebook dual-compatible (Colab + local) | ✅ |
+| Auto-download dataset dari Google Drive | ✅ |
+| `.gitignore` untuk artifacts besar | ✅ |
+| Fix `sigmoid` → `softmax` | ✅ |
+| Hugging Face integration (upload script + notebook section) | ✅ |
+| Model artifacts uploaded to HF Hub | ✅ 11 files |
+| Temporarily pinned to `MythEclipse2737/` namespace | ⚠️ not `zeavis-edu/` (no org access) |
+
+### Files on Hugging Face
+
+```
+MythEclipse2737/corn-leaf-disease-classifier
+├── .gitattributes
+├── README.md
+├── best_model.keras              (213 MB)
+├── model/
+│   ├── labels.json
+│   ├── model.onnx
+│   ├── model.tflite
+│   ├── saved_model/
+│   │   ├── fingerprint.pb
+│   │   ├── saved_model.pb
+│   │   └── variables/
+│   │       ├── variables.data-00000-of-00001
+│   │       └── variables.index
+│   └── tfjs_model/
+│       └── model.json             (partial — no weight shards)
+```
+
+---
+
+## ⚠️ Catatan
+
+1. **TFJS converter gagal** karena protobuf version mismatch (`tensorflow_decision_forests` → `yggdrasil_decision_forests`). Model TF.js di HF hanya berisi `model.json` (metadata saja, tidak ada weight shards). Issue ini pre-existing dan tidak blocking.
+2. **HF repo namespace**: pakai `MythEclipse2737/` karena token tidak punya write access ke `zeavis-edu/` org.
+3. **Token HF terekspos** di chat — perlu di-rotate di https://huggingface.co/settings/tokens.