Update app.py

app.py

@@ -15,6 +15,7 @@ if not read_token:
 login(read_token)
 
 # Define a dictionary of conversational models
+
 conversational_models = {
     "Qwen": "Qwen/QwQ-32B",
     "DeepSeek R1": "deepseek-ai/DeepSeek-R1",
@@ -47,12 +48,12 @@ text_to_image_pipelines = {}
 text_to_speech_pipelines = {}
 
 # Initialize pipelines for other tasks
-visual_qa_pipeline = pipeline("visual-question-answering", model="dandelin/vilt-b32-finetuned-vqa", use_auth_token=read_token)
-document_qa_pipeline = pipeline("question-answering", model="deepset/roberta-base-squad2", use_auth_token=read_token)
-image_classification_pipeline = pipeline("image-classification", model="facebook/deit-base-distilled-patch16-224", use_auth_token=read_token)
-object_detection_pipeline = pipeline("object-detection", model="facebook/detr-resnet-50", use_auth_token=read_token)
-video_classification_pipeline = pipeline("video-classification", model="facebook/timesformer-base-finetuned-k400", use_auth_token=read_token)
-summarization_pipeline = pipeline("summarization", model="facebook/bart-large-cnn", use_auth_token=read_token)
+visual_qa_pipeline = pipeline("visual-question-answering", model="dandelin/vilt-b32-finetuned-vqa")
+document_qa_pipeline = pipeline("question-answering", model="deepset/roberta-base-squad2")
+image_classification_pipeline = pipeline("image-classification", model="facebook/deit-base-distilled-patch16-224")
+object_detection_pipeline = pipeline("object-detection", model="facebook/detr-resnet-50")
+video_classification_pipeline = pipeline("video-classification", model="facebook/timesformer-base-finetuned-k400")
+summarization_pipeline = pipeline("summarization", model="facebook/bart-large-cnn")
 
 # Use a different model for text-to-audio if stabilityai/stable-audio-open-1.0 is not supported
 try:
@@ -60,9 +61,10 @@ try:
 except ValueError as e:
     print(f"Error loading stabilityai/stable-audio-open-1.0: {e}")
     print("Falling back to a different text-to-audio model.")
-    text_to_audio_pipeline = pipeline("text-to-audio", model="microsoft/speecht5_tts", use_auth_token=read_token)
+    text_to_audio_pipeline = pipeline("text-to-audio", model="microsoft/speecht5_tts")
+
+audio_classification_pipeline = pipeline("audio-classification", model="facebook/wav2vec2-base")
 
-audio_classification_pipeline = pipeline("audio-classification", model="facebook/wav2vec2-base", use_auth_token=read_token)
 
 def load_conversational_model(model_name):
     if model_name not in conversational_models_loaded: