add dockerfile

app.py

@@ -12,7 +12,7 @@ import torchvision.transforms.v2 as transforms
 MODEL_NAME = "distilbert/distilroberta-base"
 class_names = ['Action', 'Adventure', 'Comedy', 'Drama', 'Fantasy', 'Romance', 'Sci-Fi']
 tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
-cp = torch.load(r"model\model_only.pt", map_location="cpu")
+cp = torch.load(r"model_only.pt", map_location="cpu")
 model_img = ImageModel(len(class_names))
 model_img.load_state_dict(cp['w_i'])
 model_text = TextModel(MODEL_NAME, len(class_names))

dockerfile

@@ -0,0 +1,30 @@
+# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
+# you will also find guides on how best to write your Dockerfile
+
+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt ./requirements.txt
+
+COPY ./model_only.pt ./model_only.pt
+
+RUN pip install --no-cache-dir --upgrade -r ./requirements.txt
+
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 user
+
+# Switch to the "user" user
+USER user
+
+# Set home to the user's home directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+
+CMD ["python", "app.py"]