Upload 4 files

src/app.py

@@ -0,0 +1,34 @@
+import streamlit as st
+import torch
+import torchvision.transforms as transforms
+from PIL import Image
+
+# โหลดโมเดล
+model = torch.load('mobilenetv2.pth', map_location=torch.device('cpu'))
+model.eval()
+
+# โหลด label
+with open('classes.txt', 'r') as f:
+    class_names = [line.strip() for line in f]
+
+# UI
+st.title("🔥 MobileNetV2 Classifier")
+uploaded_file = st.file_uploader("อัปโหลดภาพ", type=["jpg", "png", "jpeg"])
+
+if uploaded_file:
+    image = Image.open(uploaded_file).convert("RGB")
+    st.image(image, caption="Uploaded Image", use_column_width=True)
+
+    transform = transforms.Compose([
+        transforms.Resize((224, 224)),
+        transforms.ToTensor(),
+    ])
+    img_tensor = transform(image).unsqueeze(0)
+
+    with torch.no_grad():
+        outputs = model(img_tensor)
+        probs = torch.softmax(outputs, dim=1)
+        pred_class = class_names[probs.argmax().item()]
+        confidence = probs.max().item() * 100
+
+    st.markdown(f"### 🔍 คำทำนาย: `{pred_class}` ({confidence:.2f}%)")

src/classes.txt

@@ -0,0 +1,3 @@
+undercooked
+raw
+cooked

src/mobilenetv2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a0492bc75adb877de8e722cbdfad8cf1ef319457984d273595a05b11275407d5
+size 9156406

src/requirement.txt

@@ -0,0 +1,5 @@
+torch
+torchvision
+Pillow
+streamlit
+pandas