Update app.py

app.py

@@ -14,6 +14,17 @@ if hf_api_token is None:
 # Authenticate with Hugging Face
 login(token=hf_api_token, add_to_git_credential=True)
 
+
+# Define the local directory where the model will be saved
+local_model_dir = "./llama-2-7b-hf"
+
+# Create the directory if it doesn't exist
+os.makedirs(local_model_dir, exist_ok=True)
+
+# Download the model and tokenizer
+model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf", cache_dir=local_model_dir)
+tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-7b-hf", cache_dir=local_model_dir)
+
 # Initialize the Whisper processor and model
 whisper_processor = WhisperProcessor.from_pretrained("openai/whisper-base")
 whisper_model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")