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.devcontainer/devcontainer.json

@@ -0,0 +1,17 @@
+
+// Add Dev containers configuration files => Add configuration user data folder => From Dockerfile => no checkbox => no checkbox => OKay 
+
+// For format details, see https://aka.ms/devcontainer.json. For config options, see the
+// README at: https://github.com/devcontainers/templates/tree/main/src/docker-existing-dockerfile
+{
+	"name": "dogsbreadcontainer",
+	"build": {
+		// Sets the run context to one level up instead of the .devcontainer folder.
+		"context": "..",
+		// Update the 'dockerFile' property if you aren't using the standard 'Dockerfile' filename.
+		"dockerfile": "../Dockerfile"
+	},
+	"forwardPorts": [
+		7860
+	]
+}

Dockerfile

@@ -1,18 +1,25 @@
-FROM public.ecr.aws/docker/library/python:3.11.10-slim
+FROM python:3.9-slim-buster AS build
+ 
+RUN apt-get update -y && apt install -y --no-install-recommends git build-essential\
+    && pip install --no-cache-dir -U pip
 
-# Install AWS Lambda Web Adapter
-COPY --from=public.ecr.aws/awsguru/aws-lambda-adapter:0.8.4 /lambda-adapter /opt/extensions/lambda-adapter
+COPY requirements.txt .
+# Create the virtual environment.
+RUN python3 -m venv /venv
+ENV PATH=/venv/bin:$PATH
 
-WORKDIR /var/task
-
-# Copy and install requirements
-COPY requirements.txt ./
 RUN pip install -r requirements.txt
 
-# Copy application code and model
-COPY app.py ./
-COPY best_model.pt ./
-COPY examples/ ./examples/
+# Stage 2: Runtime
+FROM python:3.9-slim-buster 
+RUN apt-get update -y && apt install -y --no-install-recommends build-essential
+COPY --from=build /venv /venv
+ENV PATH=/venv/bin:$PATH
+
+WORKDIR /code
+
+COPY . .
+
+EXPOSE 7860
 
-# Set command
-CMD ["python3", "app.py"] 
+CMD [ "python","app.py" ]

README.md

@@ -9,4 +9,10 @@ pinned:  true
 ---
 
 
-# DogBreedsClassifier
+# DogBreedsClassifier
+
+
+```bash
+docker build -t dogsbreedsgradio:latest . 
+docker run --rm -it -p 7860:7860 dogsbreedsgradio:latest
+```

app.py

@@ -1,7 +1,5 @@
 import os
-from numpy.lib.type_check import imag
 import torch
-import lightning as pl
 import gradio as gr
 from PIL import Image
 from torchvision import transforms
@@ -15,7 +13,6 @@ device = torch.device("cpu")
 torch.set_default_device(device=device)
 # torch.autocast(enabled=True, dtype="float16", device_type="cuda")
 
-pl.seed_everything(123, workers=True)
 
 TEST_TRANSFORMS = transforms.Compose([
     transforms.Resize((224, 224)),
@@ -23,16 +20,16 @@ TEST_TRANSFORMS = transforms.Compose([
     transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
 ])
 class_labels = [
-    'Beagle',
-    'Boxer',
-    'Bulldog',
-    'Dachshund',
-    'German_Shepherd',
-    'Golden_Retriever',
-    'Labrador_Retriever',
-    'Poodle',
-    'Rottweiler',
-    'Yorkshire_Terrier',
+    "Beagle",
+    "Boxer",
+    "Bulldog",
+    "Dachshund",
+    "German_Shepherd",
+    "Golden_Retriever",
+    "Labrador_Retriever",
+    "Poodle",
+    "Rottweiler",
+    "Yorkshire_Terrier",
 ]
 
 
@@ -81,4 +78,4 @@ gr.Interface(
     cache_examples=True,
     flagging_options=[],
     flagging_callback=SimpleCSVLogger()
-).launch(share=False, debug=False) # ,server_name="0.0.0.0",server_port=8080,enable_monitoring=None
+).launch(share=False, debug=False,server_name="0.0.0.0",server_port=7860,enable_monitoring=None)

requirements.txt

@@ -1,15 +1,19 @@
+--extra-index-url https://download.pytorch.org/whl/cpu
 # --------- pytorch --------- #
-timm==1.0.11
-torch==2.5.0
-torchvision==0.20.0
-lightning==2.4.0
-torchmetrics==1.4.1
-tensorboard==2.17.1
-tensorboardX==2.6.2.2
+# timm==1.0.11
+torch==2.4.0
+torchvision==0.19.0
+# lightning==2.4.0
+# torchmetrics==1.4.1
+# tensorboard==2.17.1
+# tensorboardX==2.6.2.2
+
+# --------- deployment --------- #
+gradio #==3.45.0
 
 # --------- hydra --------- #
-hydra-core==1.2.0
-hydra-colorlog==1.2.0
+# hydra-core==1.2.0
+# hydra-colorlog==1.2.0
 # hydra-optuna-sweeper==1.2.0
 
 # --------- loggers --------- #
@@ -19,34 +23,30 @@ hydra-colorlog==1.2.0
 # comet-ml
 
 # --------- others --------- #
-pyrootutils     # standardizing the project root setup
+# pyrootutils     # standardizing the project root setup
 # pre-commit      # hooks for applying linters on commit
-rich            # beautiful text formatting in terminal
+# rich            # beautiful text formatting in terminal
 # pytest          # tests
 # sh            # for running bash commands in some tests (linux/macos only)
 
-# --------- deployment --------- #
-gradio==4.44.1
 
 # ---------- pytest ------------- #
-pytest==8.3.3 
-pytest-cov==5.0.0
+# pytest==8.3.3 
+# pytest-cov==5.0.0
 
-kaggle
-rootutils
-loguru
-scikit-image==0.22.0
-scikit-learn==1.3.1
-hydra-optuna-sweeper==1.2.0
-optuna==2.10.1
-hydra-joblib-launcher==1.2.0
-joblib==1.3.2
-dvc==3.55.2
-dvc-data==3.16.6
-dvc-gdrive==3.0.1
-dvc-http==2.32.0
-dvc-objects==5.1.0
-dvc-render==1.0.2
-dvc-s3==3.2.0
-dvc-studio-client==0.21.0
-dvc-task==0.40.1
+# rootutils
+# loguru
+# scikit-image==0.22.0
+# scikit-learn==1.3.1
+# hydra-optuna-sweeper==1.2.0
+# optuna==2.10.1
+# hydra-joblib-launcher==1.2.0
+# joblib==1.3.2
+# dvc==3.55.2
+# dvc-data==3.16.6
+# dvc-http==2.32.0
+# dvc-objects==5.1.0
+# dvc-render==1.0.2
+# dvc-s3==3.2.0
+# dvc-studio-client==0.21.0
+# dvc-task==0.40.1