Update app.py

app.py

@@ -5,13 +5,14 @@ import gradio as gr
 from dia.model import Dia
 from huggingface_hub import InferenceClient
 import numpy as np
+from transformers import set_seed
 
 # Hardcoded podcast subject
 PODCAST_SUBJECT = "The future of AI and its impact on society"
 
 # Initialize the inference client
 client = InferenceClient("meta-llama/Llama-3.3-70B-Instruct", provider="cerebras", token=os.getenv("HF_TOKEN"))
-model = Dia.from_pretrained("nari-labs/Dia-1.6B", compute_dtype="float16", seed=42)
+model = Dia.from_pretrained("nari-labs/Dia-1.6B", compute_dtype="float16")
 
 # Queue for audio streaming
 audio_queue = queue.Queue()
@@ -49,7 +50,7 @@ def process_audio_chunks(podcast_text):
     for chunk in chunks:
         if stop_signal.is_set():
             break
-
+        set_seed(42)
         raw_audio = model.generate(chunk, use_torch_compile=True, verbose=False)
         audio_chunk = np.array(raw_audio, dtype=np.float32)
         audio_queue.put((sample_rate, audio_chunk))