chore(ml): remove machine learning model files

2026-06-11 20:23:57 +07:00
parent 09602b3fe0
commit 3e2f04413e
27 changed files with 1140 additions and 1006 deletions
@@ -0,0 +1,9 @@
+# Model artifacts — not stored in git. Uploaded to Hugging Face Hub after training.
+best_model/
+model/
+dataset/
+dataset.zip
+venv/
+__pycache__/
+*.pyc
+*.pyo
@@ -1,3 +0,0 @@
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-size 112903200
@@ -0,0 +1,43 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Download best_model.keras from Hugging Face Hub.
+#
+# Usage:
+#   bash download_model.sh                 # public repo — no auth needed
+#   HF_TOKEN=hf_xxx bash download_model.sh # private repo
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+DEST="${SCRIPT_DIR}/best_model/best_model.keras"
+REPO_ID="MythEclipse2737/zeavis-edu-model"
+
+: "${HF_TOKEN:=}"
+
+FORCE="${1:-}"
+
+if [ -f "$DEST" ] && [ "$FORCE" != "--force" ]; then
+    echo "Model already exists at $DEST (use --force to overwrite)"
+    exit 0
+fi
+
+mkdir -p "$(dirname "$DEST")"
+
+if command -v huggingface-cli &>/dev/null; then
+    huggingface-cli download "$REPO_ID" "best_model/best_model.keras" --local-dir "$(dirname "$DEST")" $( [ -n "$HF_TOKEN" ] && echo "--token $HF_TOKEN" )
+elif command -v hf &>/dev/null; then
+    hf download "$REPO_ID" "best_model/best_model.keras" --output "$DEST"
+elif command -v curl &>/dev/null; then
+    URL="https://huggingface.co/${REPO_ID}/resolve/main/best_model/best_model.keras"
+    curl -fL -o "$DEST" $( [ -n "$HF_TOKEN" ] && echo "-H Authorization: Bearer $HF_TOKEN" ) "$URL"
+else
+    echo "ERROR: Need curl or huggingface-cli installed."
+    exit 1
+fi
+
+if [ -f "$DEST" ]; then
+    echo "Downloaded: $DEST"
+    ls -lh "$DEST"
+else
+    echo "ERROR: Download failed."
+    exit 1
+fi
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@@ -0,0 +1,62 @@
+#!/usr/bin/env bash
+set -euo pipefail
+
+# Upload exported model artifacts (ONNX, TFLite) to Hugging Face Hub.
+#
+# Usage:
+#   bash upload_model.sh
+#   HF_TOKEN=hf_xxx bash upload_model.sh
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+REPO_ID="MythEclipse2737/zeavis-edu-model"
+: "${HF_TOKEN:=}"
+: "${HF_USER:=MythEclipse2737}"
+
+echo "Uploading model artifacts to Hugging Face Hub..."
+
+if ! command -v huggingface-cli &>/dev/null && ! python3 -c "from huggingface_hub import HfApi" 2>/dev/null; then
+    echo "ERROR: huggingface_hub not installed. pip install huggingface_hub"
+    exit 1
+fi
+
+python3 << PYEOF
+import os, sys
+sys.path.insert(0, "${SCRIPT_DIR}")
+
+from huggingface_hub import HfApi
+
+api = HfApi(token="${HF_TOKEN}" if "${HF_TOKEN}" else None)
+
+model_dir = "${SCRIPT_DIR}/model"
+onnx = os.path.join(model_dir, "model.onnx")
+tflite = os.path.join(model_dir, "model.tflite")
+saved_model_pb = os.path.join(model_dir, "saved_model", "saved_model.pb")
+repo_id = "${REPO_ID}"
+
+files_to_upload = []
+for local, remote in [
+    (onnx, "model/model.onnx"),
+    (tflite, "model/model.tflite"),
+    (saved_model_pb, "model/saved_model/saved_model.pb"),
+]:
+    if os.path.isfile(local):
+        files_to_upload.append((local, remote))
+        print(f"  Queued: {local} -> {remote}")
+    else:
+        print(f"  Skip (not found): {local}")
+
+for local, remote in files_to_upload:
+    print(f"  Uploading {remote}...")
+    api.upload_file(
+        path_or_fileobj=local,
+        path_in_repo=remote,
+        repo_id=repo_id,
+        repo_type="model",
+    )
+    print(f"  ✅ {remote} uploaded")
+
+if not files_to_upload:
+    print("  Nothing to upload.")
+else:
+    print(f"Upload complete: https://huggingface.co/{repo_id}")
+PYEOF
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				`©©ءّ¸ث‡ق¬§¢¥ؤج™إأà’–‎سèز÷ئخ ’ڑھ¸¥ؤي—·(،وظ—ئƒ„÷ٌ2:10851638082828504866`