Add some file via Upload

Dockerfile

@@ -0,0 +1,14 @@
+FROM python3.10
+
+RUN useradd -m -u 1000 user
+USER user
+ENV PATH="/home/user/.local/bin:$PATH"
+
+WORKDIR /app
+
+COPY --chown=user ./requirements.txt requirements.txt
+RUN pip3 install --no-cache-dir --upgrade -r requirements.txt
+
+COPY --chown=user . /app
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
+

foodnutritio_baru.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:117f50790e45af89bb06d404853213be43a92be7d4663d65495b06521789d5bf
+size 137447864

main.py

@@ -0,0 +1,108 @@
+from fastapi import FastAPI, File, UploadFile, Form
+from pydantic import BaseModel
+import numpy as np
+from tensorflow.keras.models import load_model
+import PIL.Image
+import io
+import pandas as pd
+import os
+import gdown
+
+url = "https://drive.google.com/drive/folders/1nXvQvjzrVDBO8-1GYQPVM5F0poIn_Dth?usp=sharing"
+gdown.download_folder(url, output=".", quiet=True)
+
+# Matiin log kalo run di Windows doang
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
+os.environ['TF_ENABLE_ONEDNN_OPTS'] = '0'
+
+app = FastAPI()
+
+model = load_model("foodnutritio_baru.h5")
+
+CLASS_NAMES = ['Ayam Bakar', 'Ayam Geprek', 'Ayam Goreng', 'Ayam Tepung', 'Bakso', 
+               'Chicken Katsu', 'Donat', 'Gado-Gado', 'Kopi', 'Mie Ayam', 'Mie Instan', 
+               'Nasi Goreng', 'Pecel Lele', 'Random Image', 'Rendang', 'Sate Ayam', 
+               'Sop', 'Soto', 'Telur Balado']
+
+# Muat file CSV
+nutrisi_csv = pd.read_csv('nutrisi_origin.csv')
+
+KOLOM_NAMA = nutrisi_csv.columns[1]
+
+class FoodRequest(BaseModel):
+    nama_makanan: str
+
+def get_nutrition_data(food_name: str):
+    pencarian = nutrisi_csv[nutrisi_csv[KOLOM_NAMA].str.lower() == food_name.lower()]
+    
+    kalori, protein, lemak, karbo = 0.0, 0.0, 0.0, 0.0
+    kategori = "Tidak Diketahui"
+
+    if not pencarian.empty:
+        detail_nutrisi = pencarian.iloc[0]
+        
+        kal_teks = str(detail_nutrisi.get('Kalori', '0')).lower().replace(',', '.').replace('g', '').strip()
+        pro_teks = str(detail_nutrisi.get('Protein', '0')).lower().replace(',', '.').replace('g', '').strip()
+        lem_teks = str(detail_nutrisi.get('Lemak', '0')).lower().replace(',', '.').replace('g', '').strip()
+        karbo_teks = str(detail_nutrisi.get('Karbohidrat', '0')).lower().replace(',', '.').replace('g', '').strip()
+        
+        if 'Kategori' in detail_nutrisi:
+            kategori = str(detail_nutrisi['Kategori'])
+
+        try: kalori = float(kal_teks)
+        except: kalori = 0.0
+        
+        try: protein = float(pro_teks)
+        except: protein = 0.0
+        
+        try: lemak = float(lem_teks)
+        except: lemak = 0.0
+        
+        try: karbo = float(karbo_teks)
+        except: karbo = 0.0
+
+    return {
+        "kalori": kalori,
+        "protein": protein,
+        "lemak": lemak,
+        "karbohidrat": karbo,
+        "kategori": kategori
+    }
+
+@app.get('/')
+async def hello():
+    return {"message": "Food Nutrition API Ready"}
+
+@app.post('/predict')
+async def predict(file: UploadFile = File(...)):
+    img_bytes = await file.read()
+    img = PIL.Image.open(io.BytesIO(img_bytes)).convert('RGB')
+    img = img.resize((128, 128))
+
+    img_array = np.array(img).astype("float32") / 255.0
+    img_array = np.expand_dims(img_array, axis=0)
+
+    preds = model.predict(img_array, verbose=0)
+    index = np.argmax(preds[0])
+    predicted_label = CLASS_NAMES[index]
+    confidence = float(np.max(preds[0]))
+
+    data_nutrisi = get_nutrition_data(predicted_label)
+
+    return {
+        "prediction": predicted_label,
+        "confidence": confidence,
+        "nutrisi": data_nutrisi
+    }
+
+@app.post('/predict_text')
+async def predict_text(nama_makanan: str = Form(...)):
+    
+    data_nutrisi = get_nutrition_data(nama_makanan)
+
+    return {
+        "prediction": nama_makanan,
+        "confidence": 1.0,
+        "nutrisi": data_nutrisi
+
+    }

nutrisi_origin.csv

@@ -0,0 +1,19 @@
+id,Nama Makanan,Kalori,Lemak,Karbohidrat,Protein,Kategori
+M-001,Ayam Bakar,201,"11,46g",0g,"23,01g","Daging, Ayam"
+M-002,Ayam Geprek,789,"53,97g","22,81g","52,82g","Daging, Ayam"
+M-003,Ayam Goreng,230,12.4g,6g,23.5g,"Daging, Ayam"
+M-004,Ayam Tepung,291,18.82g,"16,32g",15.59g,"Daging, Ayam"
+M-005,Bakso,225,"7,87g","9,71g","27,15g",Serealia
+M-006,Chicken Katsu,297,"18,82g","16,32g","15,59g","Daging, Ayam"
+M-007,Donat,426,"22,9g","50,8g","5,2g",Serealia
+M-008,Gado-gado,318,"17,86g","26,28g","17,22g",Sayur
+M-009,Kopi,29,"0,01g","7,12g","0,19g",Minuman
+M-010,Mie Ayam,421,"18,74g","46,21g","16,7g","Serealia, Ayam"
+M-011,Mie Instan,350,12g,52g,8g,Serealia
+M-012,Nasi Goreng,250,9.28g,31.38g,9.39g,Serealia
+M-013,Pecel Lele,292,17.22g,11.9g,23.06g,Ikan
+M-014,Rendang,468,"26,57g","10,78g","47,23g",Daging
+M-015,Sate,101,"6,67g","2,19g","8,79g","Daging, Ayam"
+M-015,Sop,72,"1,93g","11,98g","2,12g",Sayur
+M-016,Soto,312,"14,92g","19,55g","24,01g",Sayur
+M-017,Telur Balado,142,11.5g,2.44g,7.1g,Ayam

requirements.txt

@@ -0,0 +1,90 @@
+absl-py==2.4.0
+altair==6.0.0
+annotated-doc==0.0.4
+annotated-types==0.7.0
+anyio==4.12.1
+astunparse==1.6.3
+attrs==25.4.0
+beautifulsoup4==4.14.3
+bleach==6.3.0
+blinker==1.9.0
+cachetools==6.2.6
+certifi==2026.1.4
+charset-normalizer==3.4.4
+click==8.3.1
+colorama==0.4.6
+exceptiongroup==1.3.1
+fastapi==0.129.0
+filelock==3.24.3
+Flask==3.1.2
+flatbuffers==25.12.19
+gast==0.7.0
+gdown==5.2.1
+gitdb==4.0.12
+GitPython==3.1.46
+google-pasta==0.2.0
+grpcio==1.78.0
+h11==0.16.0
+h5py==3.15.1
+idna==3.11
+ImageHash==4.3.2
+itsdangerous==2.2.0
+Jinja2==3.1.6
+jsonschema==4.26.0
+jsonschema-specifications==2025.9.1
+kaggle==1.7.4.5
+keras==3.12.1
+libclang==18.1.1
+Markdown==3.10.2
+markdown-it-py==4.0.0
+MarkupSafe==3.0.3
+mdurl==0.1.2
+ml_dtypes==0.5.4
+namex==0.1.0
+narwhals==2.16.0
+numpy==2.2.6
+opt_einsum==3.4.0
+optree==0.18.0
+packaging==26.0
+pandas==2.3.3
+pillow==12.1.1
+protobuf==6.33.5
+pyarrow==23.0.0
+pydantic==2.12.5
+pydantic_core==2.41.5
+pydeck==0.9.1
+Pygments==2.19.2
+PySocks==1.7.1
+python-dateutil==2.9.0.post0
+python-multipart==0.0.22
+python-slugify==8.0.4
+pytz==2025.2
+PyWavelets==1.8.0
+referencing==0.37.0
+requests==2.32.5
+rich==14.3.2
+rpds-py==0.30.0
+scipy==1.15.3
+six==1.17.0
+smmap==5.0.2
+soupsieve==2.8.3
+starlette==0.52.1
+streamlit==1.54.0
+tenacity==9.1.4
+tensorboard==2.20.0
+tensorboard-data-server==0.7.2
+tensorflow==2.20.0
+termcolor==3.3.0
+text-unidecode==1.3
+toml==0.10.2
+tornado==6.5.4
+tqdm==4.67.3
+typing-inspection==0.4.2
+typing_extensions==4.15.0
+tzdata==2025.3
+urllib3==2.6.3
+uvicorn==0.41.0
+watchdog==6.0.0
+webencodings==0.5.1
+Werkzeug==3.1.5
+wrapt==2.1.1