Update app.py

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 from textblob import TextBlob
-from transformers import AutoModelForSpeechSeqSeq, AutoProcessor, pipeline
+from transformers import AutoModelForSpeechSeq2Seq, AutoProcessor, pipeline
 import torch
 import base64
 import numpy as np
@@ -16,7 +16,7 @@ torch_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 model_id = "openai/whisper-small"
 
 # 3. Load the model from pretrained weights
-model = AutoModelForSpeechSeqSeq.from_pretrained(
+model = AutoModelForSpeechSeq2Seq.from_pretrained(
     model_id, torch_dtype=torch_dtype, low_cpu_mem_usage=True, use_safetensors=True
 )
 model.to(device)