Create download_model.py

download_model.py

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+from transformers import WhisperProcessor, WhisperForConditionalGeneration
+import os
+
+# Ensure the cache directory exists
+cache_dir = "./.cache"
+os.makedirs(cache_dir, exist_ok=True)
+
+# Download the model and processor
+print("Downloading Whisper model and processor...")
+processor = WhisperProcessor.from_pretrained("openai/whisper-large-v3", cache_dir=cache_dir)
+model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-large-v3", cache_dir=cache_dir)
+print("✓ Model and processor downloaded successfully!")