Update app.py

app.py

@@ -26,76 +26,15 @@ OPENROUTER_BASE_URL = "https://openrouter.ai/api/v1"
 
 @st.cache_resource
 def initialize_ocr():
-    """Inisialisasi model PaddleOCR."""
+    """Inisialisasi model PaddleOCR tanpa parameter GPU."""
     try:
-        # Menggunakan CPU, tanpa parameter yang tidak dikenali
-        return PaddleOCR(use_gpu=False, lang='en', use_angle_cls=True)
+        # Hanya tentukan language dan angle classifier
+        return PaddleOCR(lang='en', use_angle_cls=True)
     except Exception as e:
         st.error(f"Gagal inisialisasi OCR: {e}")
         return None
-    except Exception as e:
-        st.error(f"Gagal inisialisasi OCR: {e}")
-        return None
-
-
-def parse_numeric_value(text: str) -> float:
-    """Parse string menjadi float, menghapus karakter non-numerik."""
-    if not text:
-        return 0.0
-    cleaned = re.sub(r"[^\d\.\-]", "", str(text))
-    if cleaned in ["", ".", "-"]:
-        return 0.0
-    try:
-        return float(cleaned)
-    except:
-        return 0.0
-
-
-def get_nutrition_advice(serving_size, sugar_norm, fat_norm, sugar_grade, fat_grade, final_grade):
-    """Memanggil API OpenRouter untuk saran nutrisi."""
-    prompt = f"""
-    Anda adalah ahli gizi dari Indonesia yang ramah.
-    - Takaran Saji: {serving_size} g/ml
-    - Gula (per 100): {sugar_norm:.2f} g (Grade {sugar_grade.replace('Grade ', '')})
-    - Lemak Jenuh (per 100): {fat_norm:.2f} g (Grade {fat_grade.replace('Grade ', '')})
-    - Grade Akhir: {final_grade.replace('Grade ', '')}
-
-    Berikan saran nutrisi singkat 50-80 kata, fokus pada dampak kesehatan dan tips praktis.
-    """
-    headers = {"Authorization": f"Bearer {OPENROUTER_API_KEY}", "Content-Type": "application/json"}
-    payload = {
-        "model": "mistralai/mistral-7b-instruct:free",
-        "messages": [{"role": "user", "content": prompt}],
-        "max_tokens": 250,
-        "temperature": 0.7
-    }
-    try:
-        r = requests.post(f"{OPENROUTER_BASE_URL}/chat/completions", headers=headers, json=payload, timeout=30)
-        r.raise_for_status()
-        data = r.json()
-        return data["choices"][0]["message"]["content"].strip()
-    except Exception as e:
-        return f"Error: {e}"
-
-
-def get_grade_from_value(value, thresholds):
-    if value <= thresholds["A"]: return "Grade A"
-    if value <= thresholds["B"]: return "Grade B"
-    if value <= thresholds["C"]: return "Grade C"
-    return "Grade D"
-
-
-def get_grade_color(grade):
-    colors = {
-        "Grade A": ("#2ecc71","white"),
-        "Grade B": ("#f1c40f","black"),
-        "Grade C": ("#e67e22","white"),
-        "Grade D": ("#e74c3c","white")
-    }
-    return colors.get(grade,("#bdc3c7","black"))
-
 
-def reset_state():
+def reset_state():():
     for k in ['ocr_done','data','calculated']:
         st.session_state.pop(k, None)