added token

app.py

@@ -7,6 +7,9 @@ from transformers import (
     WhisperProcessor,
 )
 
+import os
+MY_SECRET_TOKEN=os.environ.get('HF_TOKEN_SD')
+
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-small").to(device)
 processor = WhisperProcessor.from_pretrained("openai/whisper-small")
@@ -16,6 +19,7 @@ diffuser_pipeline = DiffusionPipeline.from_pretrained(
     custom_pipeline="speech_to_image_diffusion",
     speech_model=model,
     speech_processor=processor,
+    use_auth_token=MY_SECRET_TOKEN,
     revision="fp16",
     torch_dtype=torch.float16,
 )