Update app.py

app.py

@@ -5,17 +5,17 @@ import numpy as np
 from transformers import AutoTokenizer
 import onnxruntime
 import scipy.io.wavfile
+from huggingface_hub import hf_hub_download
 
-# Specify the Hugging Face repository/model directory.
-# This repository (Athspi/Gg) should contain the tokenizer files and the ONNX model file.
-model_dir = "Athspi/Gg"  
+# Define the Hugging Face repository/model ID.
+repo_id = "Athspi/Gg"
 
-# Define the ONNX model filename. Adjust the filename if needed.
-onnx_model_filename = "mms_tts_eng.onnx"
-onnx_model_path = os.path.join(model_dir, onnx_model_filename)
+# Download the ONNX model file from the repository.
+# This will download "mms_tts_eng.onnx" from: https://huggingface.co/Athspi/Gg/resolve/main/mms_tts_eng.onnx
+onnx_model_path = hf_hub_download(repo_id=repo_id, filename="mms_tts_eng.onnx")
 
-# Load the tokenizer from the Hugging Face model repository
-tokenizer = AutoTokenizer.from_pretrained(model_dir)
+# Load the tokenizer from the repository.
+tokenizer = AutoTokenizer.from_pretrained(repo_id)
 
 # Initialize the ONNX runtime session for inference.
 ort_session = onnxruntime.InferenceSession(