Fix remove large file

Dockerfile

@@ -1,20 +1,18 @@
-FROM python:3.13.5-slim
+# 1. Chọn hệ điều hành Python
+FROM python:3.9
 
-WORKDIR /app
+# 2. Tạo thư mục làm việc
+WORKDIR /code
 
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    curl \
-    git \
-    && rm -rf /var/lib/apt/lists/*
+# 3. Cài đặt thư viện (Copy file requirements vào trước để cài cho nhanh)
+COPY ./requirements.txt /code/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
 
-COPY requirements.txt ./
-COPY src/ ./src/
+# 4. Copy toàn bộ code vào
+COPY . .
 
-RUN pip3 install -r requirements.txt
+# 5. Cấp quyền cho thư mục (để tránh lỗi permission trên HF)
+RUN chmod -R 777 /code
 
-EXPOSE 8501
-
-HEALTHCHECK CMD curl --fail http://localhost:8501/_stcore/health
-
-ENTRYPOINT ["streamlit", "run", "src/streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+# 6. Mở cửa (Chạy file app.py)
+CMD ["python", "app.py"]

README.md

@@ -0,0 +1,9 @@
+---
+title: Trà Phú Hội API 
+emoji: 🍳
+colorFrom: gray
+colorTo: gray
+sdk: docker
+pinned: false
+app_port: 7860
+---

TraPhuHoi-Backend

@@ -1 +0,0 @@
-Subproject commit 5c4389686613c90afd062227fbdf908a9484e710

TraPhuHoi-Backend/.gitattributes

@@ -0,0 +1,35 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

app.py

@@ -13,18 +13,22 @@ app = Flask(__name__)
 CORS(app)
 
 # ================== 🔧 LOAD MODEL ==================
+# Lưu ý: Đảm bảo tên file model đúng với file ông đã up lên
 MODEL_PATH = "saurieng_mobilenetv2_model.keras"
-model = tf.keras.models.load_model(MODEL_PATH)
+try:
+    model = tf.keras.models.load_model(MODEL_PATH)
+    print("✅ Model loaded successfully!")
+except Exception as e:
+    print(f"❌ Error loading model: {e}")
+    model = None
 
 # ================== 🔍 CLASS LABELS ==================
 CLASS_NAMES = [
-    "ALLOCARIDARA_ATTACK",
-    "Leaf_Algal",
-    "Leaf_Blight",
-    "Leaf_Colletotrichum",
-    "Leaf_Healthy",
-    "Leaf_Phomopsis",
-    "Leaf_Rhizoctonia"
+    "Rầy Nhảy (Allocara)",      # ALLOCARIDARA_ATTACK
+    "Đốm Rong (Algal Spot)",    # Leaf_Algal
+    "Cháy Lá (Leaf Blight)",    # Leaf_Blight
+    "Lá Khỏe Mạnh (Healthy)",   # Leaf_Healthy
+    "Đốm Mắt Cua (Phomopsis)",  # Leaf_Phomopsis
 ]
 
 # ================== 🖼️ PREPROCESS ==================
@@ -35,24 +39,43 @@ def preprocess_image(image_file):
     img_array = np.expand_dims(img_array, axis=0)
     return img_array
 
+# ================== 🏠 TRANG CHỦ (MỚI THÊM) ==================
+@app.route("/", methods=["GET"])
+def home():
+    return """
+    <div style="font-family: sans-serif; text-align: center; padding: 20px;">
+        <h1 style="color: green;">🌱 API Trà Phú Hội Đang đang hoạt động! 🚀</h1>
+        <p>Server đã sẵn sàng nhận yêu cầu.</p>
+        <p>Endpoint dự đoán: <code>/predict</code> (POST)</p>
+        <p style="color: gray; font-size: 0.8em;">Powered by Flask & TensorFlow on Hugging Face</p>
+    </div>
+    """
+
 # ================== 🧠 API /predict ==================
 @app.route("/predict", methods=["POST"])
 def predict():
+    if model is None:
+        return jsonify({"error": "Model not loaded properly"}), 500
+
     if "file" not in request.files:
         return jsonify({"error": "No file uploaded"}), 400
 
-    file = request.files["file"]
-    img_array = preprocess_image(file)
+    try:
+        file = request.files["file"]
+        img_array = preprocess_image(file)
 
-    preds = model.predict(img_array)[0]
-    idx = int(np.argmax(preds))
-    confidence = float(np.max(preds))
+        preds = model.predict(img_array)[0]
+        idx = int(np.argmax(preds))
+        confidence = float(np.max(preds))
 
-    return jsonify({
-        "label": CLASS_NAMES[idx],
-        "confidence": confidence
-    })
+        return jsonify({
+            "label": CLASS_NAMES[idx],
+            "confidence": confidence
+        })
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
 
 # ================== 🏁 RUN ==================
 if __name__ == "__main__":
-    app.run(host="0.0.0.0", port=7860)
+    # Cổng 7860 là bắt buộc trên Hugging Face
+    app.run(host="0.0.0.0", port=7860)