app.py

from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM

# Load the text-to-speech pipeline directly with the model
pipe = pipeline("text-to-speech", model="Lwasinam/voicera")

# Load the tokenizer and model separately if needed
tokenizer = AutoTokenizer.from_pretrained("Lwasinam/voicera")
model = AutoModelForCausalLM.from_pretrained("Lwasinam/voicera")