Update Dockerfile

Dockerfile

@@ -1,11 +1,13 @@
 FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04
+# Non-interactive APT installs
 ENV DEBIAN_FRONTEND=noninteractive \
     PATH=/opt/conda/bin:$PATH \
     CUDA_HOME=/usr/local/cuda
 
 # Install system dependencies
 RUN apt-get update && apt-get install -y \
-    wget git libgl1-mesa-glx libgl1-mesa-dri xvfb ffmpeg build-essential \
+    wget git build-essential \
+    libgl1-mesa-glx libgl1-mesa-dri xvfb ffmpeg \
     && rm -rf /var/lib/apt/lists/*
 
 # Install Miniconda
@@ -14,23 +16,25 @@ RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86
     rm /tmp/miniconda.sh && \
     conda clean -afy
 
-# Configure conda to avoid Anaconda TOS prompt
-RUN conda config --remove channels defaults && \
+# Remove ALL Anaconda default channels to skip TOS prompt
+RUN conda config --remove channels defaults || true && \
+    conda config --remove channels https://repo.anaconda.com/pkgs/main || true && \
+    conda config --remove channels https://repo.anaconda.com/pkgs/r || true && \
     conda config --add channels conda-forge && \
     conda config --set channel_priority strict
 
-# Create conda environment with Python + ffmpeg from conda-forge
+# Create environment from conda-forge only
 RUN conda create -n appenv python=3.10 ffmpeg=7 -y && conda clean -afy
 SHELL ["conda", "run", "-n", "appenv", "/bin/bash", "-c"]
 
-# Copy requirements first for layer caching
+# Copy requirements first (for Docker layer caching)
 WORKDIR /workspace
 COPY requirements.txt .
 
-# Install Python dependencies (flash-attn will compile since we have nvcc)
+# Install Python dependencies (flash-attn compiles here)
 RUN pip install --upgrade pip && pip install --no-cache-dir -r requirements.txt
 
-# Copy remaining code
+# Copy rest of project files
 COPY . .
 
 CMD ["conda", "run", "--no-capture-output", "-n", "appenv", "python", "finetune/app.py"]