Deploy: dodani Dockerfile, requirements, static serving

.gitattributes

@@ -1 +1,3 @@
+# Git LFS tracking — classifier.pkl is ~183 MB, over GitHub's 100 MB hard limit.
+# HF Spaces git also uses LFS for large files.
 model/classifier.pkl filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -0,0 +1,42 @@
+# Hugging Face Spaces — Docker deployment
+# Builds React frontend, then runs Flask backend which serves everything.
+# HF Spaces expects the app on port 7860.
+
+FROM python:3.11-slim
+
+# ── System deps ──────────────────────────────────────────────────────────────
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        curl \
+        nodejs \
+        npm \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# ── Python dependencies ───────────────────────────────────────────────────────
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+
+# ── Build React frontend ──────────────────────────────────────────────────────
+COPY frontend/package.json frontend/package-lock.json* ./frontend/
+RUN cd frontend && npm install
+
+COPY frontend/ ./frontend/
+RUN cd frontend && npm run build
+
+# ── Backend source + trained model ───────────────────────────────────────────
+COPY app.py classifier.py feature_extraction.py language_config.py ./
+COPY model/ ./model/
+
+# ── Runtime config ────────────────────────────────────────────────────────────
+ENV PORT=7860
+EXPOSE 7860
+
+# Single worker because the sklearn model is not thread-safe during load;
+# increase --workers if you switch to a thread-safe serving strategy.
+CMD ["gunicorn", \
+     "--bind", "0.0.0.0:7860", \
+     "--timeout", "300", \
+     "--workers", "1", \
+     "--threads", "4", \
+     "app:app"]

app.py

@@ -21,7 +21,7 @@ import difflib
 import warnings
 warnings.filterwarnings("ignore")
 
-from flask import Flask, request, jsonify
+from flask import Flask, request, jsonify, send_from_directory
 from flask_cors import CORS
 
 from classifier import predict, ucitaj_model
@@ -34,6 +34,9 @@ from feature_extraction import extract_all_features, analyze_lines
 
 app = Flask(__name__)
 
+# Putanja do buildan React aplikacije (postoji samo u produkciji)
+FRONTEND_BUILD = os.path.join(os.path.dirname(__file__), "frontend", "dist")
+
 # CORS dopušta React frontendu (localhost:3000) da komunicira s ovim serverom
 CORS(app, resources={r"/api/*": {"origins": "*"}})
 
@@ -328,14 +331,30 @@ def similarity():
 
 
 # ─────────────────────────────────────────────────────────────────────────────
-# POKRETANJE
+# SERVIRANJE REACT FRONTENDA (produkcija)
 # ─────────────────────────────────────────────────────────────────────────────
 
+@app.route("/", defaults={"path": ""})
+@app.route("/<path:path>")
+def serve_frontend(path):
+    """
+    Servira buildan React app za sve rute koje nisu /api/*.
+    Potrebno za client-side routing (React Router).
+    """
+    if os.path.isdir(FRONTEND_BUILD):
+        target = os.path.join(FRONTEND_BUILD, path)
+        if path and os.path.exists(target):
+            return send_from_directory(FRONTEND_BUILD, path)
+        return send_from_directory(FRONTEND_BUILD, "index.html")
+    return jsonify({"error": "Frontend nije buildан. Pokreni: cd frontend && npm run build"}), 404
+
+
 if __name__ == "__main__":
+    port = int(os.environ.get("PORT", 5000))
     print("\n" + "=" * 50)
     print("  AI Code Detector — Backend")
     print("=" * 50)
-    print("  Server pokrenut na: http://localhost:5000")
+    print(f"  Server pokrenut na: http://localhost:{port}")
     print("  API rute:")
     print("    GET  /api/health")
     print("    POST /api/analyze")
@@ -343,10 +362,4 @@ if __name__ == "__main__":
     print("    POST /api/similarity")
     print("\n  Zaustavi server s Ctrl+C")
     print("=" * 50 + "\n")
-
-    app.run(
-        host="0.0.0.0",
-        port=5000,
-        debug=True,
-        threaded=True,   # potrebno za streaming — svaki zahtjev u svom threadu
-    )
+    app.run(host="0.0.0.0", port=port, debug=False, threaded=True)

requirements.txt

@@ -0,0 +1,15 @@
+flask==3.1.3
+flask-cors==6.0.2
+numpy==2.4.1
+scikit-learn==1.8.0
+gunicorn==23.0.0
+tree-sitter==0.23.2
+tree-sitter-python==0.21.0
+tree-sitter-javascript==0.21.4
+tree-sitter-java==0.21.0
+tree-sitter-cpp==0.22.0
+tree-sitter-c==0.21.3
+tree-sitter-go==0.21.0
+tree-sitter-rust==0.21.2
+tree-sitter-ruby==0.21.0
+tree-sitter-typescript==0.21.2