diff --git a/gpu/modal_deployments/deploy-all.sh b/gpu/modal_deployments/deploy-all.sh
index 93303604..02a1d0f9 100755
--- a/gpu/modal_deployments/deploy-all.sh
+++ b/gpu/modal_deployments/deploy-all.sh
@@ -114,8 +114,8 @@ modal secret create reflector-gpu REFLECTOR_GPU_APIKEY="$API_KEY"
 
 # --- Deploy Functions ---
 echo ""
-echo "Deploying transcriber (Whisper)..."
-TRANSCRIBER_URL=$(modal deploy reflector_transcriber.py 2>&1 | grep -o 'https://[^ ]*web.modal.run' | head -1)
+echo "Deploying transcriber (Parakeet)..."
+TRANSCRIBER_URL=$(modal deploy reflector_transcriber_parakeet.py 2>&1 | grep -o 'https://[^ ]*web.modal.run' | head -1)
 if [ -z "$TRANSCRIBER_URL" ]; then
     echo "Error: Failed to deploy transcriber. Check Modal dashboard for details."
     exit 1
diff --git a/gpu/modal_deployments/reflector_diarizer.py b/gpu/modal_deployments/reflector_diarizer.py
index 816e17cf..39369509 100644
--- a/gpu/modal_deployments/reflector_diarizer.py
+++ b/gpu/modal_deployments/reflector_diarizer.py
@@ -113,12 +113,14 @@ def download_pyannote_audio():
 
 
 diarizer_image = (
-    modal.Image.debian_slim(python_version="3.10")
+    modal.Image.from_registry(
+        "nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04", add_python="3.10"
+    )
     .pip_install(
         "pyannote.audio==3.1.0",
         "requests",
         "onnx",
-        "torchaudio",
+        "torchaudio==2.0.1",
         "onnxruntime-gpu",
         "torch==2.0.0",
         "transformers==4.34.0",
@@ -133,14 +135,6 @@ diarizer_image = (
         secrets=[modal.Secret.from_name("hf_token")],
     )
     .run_function(migrate_cache_llm)
-    .env(
-        {
-            "LD_LIBRARY_PATH": (
-                "/usr/local/lib/python3.10/site-packages/nvidia/cudnn/lib/:"
-                "/opt/conda/lib/python3.10/site-packages/nvidia/cublas/lib/"
-            )
-        }
-    )
 )