Delete download_model.py

download_model.py

@@ -1,47 +0,0 @@
-# download_model.py
-
-import os
-import logging
-from faster_whisper import WhisperModel
-
-# Configure logging
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
-
-def download_and_convert_model():
-    """
-    Downloads and converts the Whisper model to the CTranslate2 format.
-    The WhisperModel class handles both downloading and conversion.
-    """
-    model_name = "distil-whisper/distil-large-v3"
-    cache_path = os.getenv("HF_HOME", "/data/hf_cache")
-    
-    logging.info(f"Starting download and conversion for model: {model_name}")
-    logging.info(f"Cache directory set to: {cache_path}")
-
-    try:
-        # Initializing the model will trigger the download and conversion process.
-        # The converted files, including model.bin, will be stored in the cache_path.
-        _ = WhisperModel(
-            model_name,
-            device="cpu",
-            compute_type="int8",
-            download_root=cache_path  # This ensures everything is stored in our target directory
-        )
-        logging.info("✅ Model downloaded and converted successfully.")
-        
-        # Verify that model.bin was created
-        if os.path.exists(os.path.join(cache_path, "model.bin")):
-            logging.info("✅ Verification successful: model.bin found.")
-        else:
-            # This part of the original log shows the structure if conversion fails/is partial
-            # a snapshot is downloaded but not the CTranslate2 model.bin
-            logging.error("❌ Verification failed: model.bin was not created.")
-            logging.error(f"Cache directory contents: {os.listdir(cache_path)}")
-            exit(1) # Exit with an error code to fail the Docker build
-            
-    except Exception as e:
-        logging.error(f"❌ An error occurred during model download/conversion: {e}")
-        exit(1) # Exit with an error code
-
-if __name__ == "__main__":
-    download_and_convert_model()