fixed error 11

Dockerfile

@@ -1,20 +1,24 @@
-# Use a CUDA devel image as the base, which includes the CUDA toolkit
+# Use a base image with Python
+# Use a CUDA devel image as the base
 FROM nvidia/cuda:12.1.1-devel-ubuntu22.04
 
-# Install Python, pip, and other necessary tools
+# Install git and other build tools
+# The specific command depends on the base image's package manager.
+# For Debian/Ubuntu-based images like python:3.10-slim, it's apt-get.
 RUN apt-get update && apt-get install -y python3 python3-pip git
+RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
+RUN python3 -m pip install --upgrade pip
 
-# Set the working directory for the app
-WORKDIR /app
 
-# Upgrade pip to the latest version to avoid conflicts
-RUN python3 -m pip install --upgrade pip
+# Set the working directory in the container
+ENV CUDA_HOME=/usr/local/cuda
+WORKDIR /app
 
-# Now install dependencies from requirements.txt, including the extra URL
-# This is the single, correct way to install all dependencies
+# Copy the requirements file and install dependencies
 COPY requirements.txt .
+RUN pip install torch==2.3.0
 RUN pip install --no-cache-dir --upgrade setuptools wheel packaging
-RUN pip install --no-cache-dir --extra-index-url https://download.pytorch.org/whl/cu121 -r requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy the rest of your application code
 COPY . .

requirements.txt

@@ -1,15 +1,10 @@
-# Remove --extra-index-url from here
-packaging
+--extra-index-url https://download.pytorch.org/whl/cu121
+torch==2.1.0
 flash-attn==2.8.3
-# Use the torch version that unsloth expects
-torch==2.3.0
 transformers
 unsloth[cu121-ampere-torch230] @ git+https://github.com/unslothai/unsloth.git@August-2025
 streamlit
 fastapi
 uvicorn
-# Pin tqdm to a specific version to avoid conflicts
-tqdm==4.66.6
-# Add networkx back with a pinned version to be safe
-networkx==3.1
-sympy
+networkx>=2.0
+sympy