Activate conda environment 'cosmos-predict1' in start.sh

start.sh

@@ -4,7 +4,19 @@ set -eux # Keep this for debugging and seeing command execution
 export CUDA_VISIBLE_DEVICES="0"
 export CUDA_HOME="/usr/local/cuda"
 
-# Add /app/gui/api to PYTHONPATH so api_types can be found directly
+# Source conda.sh to make 'conda' command available
+# This finds the conda.sh script, which sets up the conda command in the shell.
+# We try a few common installation paths for Miniconda/Anaconda.
+source /opt/conda/etc/profile.d/conda.sh || \
+source /usr/local/miniconda/etc/profile.d/conda.sh || \
+source /root/miniconda/etc/profile.d/conda.sh || \
+{ echo "ERROR: Could not find conda.sh script to source. Ensure Conda is installed correctly."; exit 1; }
+
+# Activate the specific conda environment
+conda activate cosmos-predict1 || { echo "ERROR: Failed to activate conda environment 'cosmos-predict1'. Ensure it exists."; exit 1; }
+
+# Set PYTHONPATH *after* conda activation, as conda might modify PATH/PYTHONPATH itself.
+# This ensures local project paths are prioritized/available for your application's modules.
 export PYTHONPATH="/app:/app/gui/api" 
 
 echo "Starting GEN3C FastAPI inference server..."
@@ -13,4 +25,5 @@ export GEN3C_CKPT_PATH="/app/checkpoints"
 export GEN3C_GPU_COUNT=1
 
 # Start the FastAPI server
+# It's crucial that 'uvicorn' is installed and available within the 'cosmos-predict1' environment.
 exec uvicorn gui.api.server:app --host 0.0.0.0 --port 7860 --proxy-headers