Update app.py

app.py

@@ -11,7 +11,7 @@ peft_model_id = "Boadiwaa/LORA-colab-Whisper-medium"
 task = "transcribe"
 peft_config = PeftConfig.from_pretrained(peft_model_id)
 model = WhisperForConditionalGeneration.from_pretrained(
-    peft_config.base_model_name_or_path, load_in_8bit=True, device_map="auto"
+    peft_config.base_model_name_or_path,device_map="auto"
 )
 
 model = PeftModel.from_pretrained(model, peft_model_id)
@@ -31,8 +31,8 @@ demo = gr.Interface(
     fn=transcribe,
     inputs=gr.Audio(sources=["microphone"], type="filepath"),
     outputs="text",
-    title="PEFT LoRA + INT8 Whisper Large V2 Ghanaian accent",
-    description="Realtime demo for Ghanaian-accented speech recognition using `PEFT-LoRA+INT8` fine-tuned Whisper Large V2 model.",
+    title="Transcriber for Ghanaian-accented speech (English)",
+    description="Realtime demo for Ghanaian-accented speech recognition (in English).",
 )
 
 demo.launch(share=True)