Spaces:
Running
Running
minor edits
Browse files- Dockerfile +0 -61
- requirements.txt +2 -2
Dockerfile
DELETED
@@ -1,61 +0,0 @@
|
|
1 |
-
# Use NVIDIA’s CUDA 12.5.1 with cuDNN (devel) on UBI9
|
2 |
-
FROM nvidia/cuda:12.5.1-cudnn-devel-ubi9
|
3 |
-
|
4 |
-
# Set non-interactive mode
|
5 |
-
ENV DEBIAN_FRONTEND=noninteractive
|
6 |
-
|
7 |
-
# Update and install necessary system packages with microdnf
|
8 |
-
RUN microdnf update -y && \
|
9 |
-
microdnf install -y \
|
10 |
-
git \
|
11 |
-
curl \
|
12 |
-
gcc \
|
13 |
-
gcc-c++ \
|
14 |
-
make \
|
15 |
-
openssl-devel \
|
16 |
-
bzip2-devel \
|
17 |
-
libffi-devel \
|
18 |
-
zlib-devel \
|
19 |
-
xz-devel && \
|
20 |
-
microdnf clean all
|
21 |
-
|
22 |
-
# Build and install Python 3.12.9 from source
|
23 |
-
RUN curl -L https://www.python.org/ftp/python/3.12.9/Python-3.12.9.tgz -o Python-3.12.9.tgz && \
|
24 |
-
tar -xf Python-3.12.9.tgz && \
|
25 |
-
cd Python-3.12.9 && \
|
26 |
-
./configure --enable-optimizations && \
|
27 |
-
make -j $(nproc) && \
|
28 |
-
make altinstall && \
|
29 |
-
cd .. && rm -rf Python-3.12.9 Python-3.12.9.tgz && \
|
30 |
-
ln -s /usr/local/bin/python3.12 /usr/local/bin/python && \
|
31 |
-
ln -s /usr/local/bin/pip3.12 /usr/local/bin/pip
|
32 |
-
|
33 |
-
# Upgrade pip to the latest version
|
34 |
-
RUN pip install --upgrade pip
|
35 |
-
|
36 |
-
# Install PyTorch with CUDA 12.5 support
|
37 |
-
RUN pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu125
|
38 |
-
|
39 |
-
# Set the working directory
|
40 |
-
WORKDIR /app
|
41 |
-
|
42 |
-
# Copy requirements.txt first for caching
|
43 |
-
COPY requirements.txt .
|
44 |
-
|
45 |
-
# Install Python dependencies
|
46 |
-
RUN pip install -r requirements.txt
|
47 |
-
|
48 |
-
# Copy the rest of your repository into the container
|
49 |
-
COPY . .
|
50 |
-
|
51 |
-
# make persistent cache for models
|
52 |
-
RUN mkdir -p /app/hf_cache /app/torch_cache /app/hf_cache/datasets
|
53 |
-
|
54 |
-
# Set environment variable to mitigate CUDA memory fragmentation
|
55 |
-
ENV PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True
|
56 |
-
|
57 |
-
# Expose the default Streamlit port
|
58 |
-
EXPOSE 8501
|
59 |
-
|
60 |
-
# Command to run your Streamlit app
|
61 |
-
CMD ["streamlit", "run", "app.py", "--server.enableCORS", "false"]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
requirements.txt
CHANGED
@@ -10,8 +10,8 @@ Pillow==10.1.0
|
|
10 |
safetensors==0.4.0
|
11 |
tqdm==4.65.0
|
12 |
transformers==4.34.1
|
13 |
-
|
14 |
-
|
15 |
lpips
|
16 |
# peft
|
17 |
tensorflow==2.18.0
|
|
|
10 |
safetensors==0.4.0
|
11 |
tqdm==4.65.0
|
12 |
transformers==4.34.1
|
13 |
+
torch
|
14 |
+
torchvision
|
15 |
lpips
|
16 |
# peft
|
17 |
tensorflow==2.18.0
|