Update app.py

app.py

@@ -1,25 +1,8 @@
-from transformers import WhisperForConditionalGeneration, WhisperProcessor
 import gradio as gr
 
-model = WhisperForConditionalGeneration.from_pretrained("bryandts/whisper-base-en-india-accent-svarah")
-processor = WhisperProcessor.from_pretrained("openai/whisper-base")
-
-model.config.forced_decoder_ids = None
-
-
+whisper = gr.load("models/bryandts/whisper-base-en-india-accent-svarah")
 
 def transcribe(audio):
-    input_features = processor(audio["array"], sampling_rate=audio["sampling_rate"], return_tensors="pt").input_features 
-    predicted_ids = model.generate(input_features)
-    transcription = processor.batch_decode(predicted_ids, skip_special_tokens=True)
-    return transcription[0]
-
-iface = gr.Interface(
-    fn=transcribe, 
-    inputs=gr.Audio(source="microphone", type="filepath"), 
-    outputs="text",
-    title="Whisper Base English",
-    description="Realtime India-accented English speech recognition using a fine-tuned Whisper base model.",
-)
+    return whisper(audio).replace("AutomaticSpeechRecognitionOutput(text=' ", "").replace("', chunks=None)", "")
 
-iface.launch()
+gr.Interface(transcribe, gr.Audio(type="filepath"), gr.Textbox()).launch()