add cuda

Dockerfile

@@ -1,32 +1,45 @@
 # Use the official Python image as the base image
-FROM python:3.10
+FROM python:3.9
 
+# Set the working directory to /app
+WORKDIR /app
+
+# Create a new user and switch to this user
 RUN useradd -m -u 1000 user
 USER user
+
+# Set environment variables for the new user
 ENV HOME=/home/user \
     PATH=/home/user/.local/bin:$PATH
+
+# Set the working directory for the user
 WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at /app
 COPY --chown=user . $HOME/app
+
+# Copy requirements file
 COPY ./requirements.txt ~/app/requirements.txt
 
-# Copy the poetry files
+# Copy poetry configuration files
 COPY pyproject.toml poetry.lock /app/
 
-# Install poetry
+# Upgrade pip and install poetry
 RUN pip install --upgrade pip
 RUN pip install poetry
-RUN pip install torch==1.11.0+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
 
+# Install the CPU-only version of torch
+RUN pip install torch==1.11.0+cpu -f https://download.pytorch.org/whl/cpu/torch_stable.html
 
-# Set environment variable to create virtualenv within the project directory
+# Set environment variable to create a virtual environment within the project directory
 ENV POETRY_VIRTUALENVS_IN_PROJECT=true
 
-# Install project dependencies
+# Lock and install project dependencies using poetry
 RUN poetry lock
 RUN poetry install
 
-
 # Copy the rest of the application code
 COPY . .
 
+# Define the command to run the app
 CMD ["poetry", "run", "chainlit", "run", "app.py", "--port", "7860"]

pyproject.toml

@@ -7,8 +7,8 @@ license = "Apache 2.0"
 readme = "README.md"
 
 [tool.poetry.dependencies]
-python = "^3.10"
-farm-haystack = {extras = ["inference"], version = "^1.20.1"}
+python = "^3.9"
+farm-haystack = "^1.20.1"
 chainlit = "^0.7.0"
 openai = "^0.28.0"
 jupyter = "^1.0.0"