Update app.py

app.py

@@ -8,8 +8,8 @@ from transformers import XLMRobertaTokenizerFast, XLMRobertaForSequenceClassific
 import soundfile as sf
 
 # --- Load models ---
-whisper_processor = WhisperProcessor.from_pretrained("openai/whisper-base")
-whisper_model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-base")
+whisper_processor = WhisperProcessor.from_pretrained("openai/whisper-tiny")
+whisper_model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-tiny")
 
 lang_tokenizer = XLMRobertaTokenizerFast.from_pretrained("papluca/xlm-roberta-base-language-detection")
 lang_model = XLMRobertaForSequenceClassification.from_pretrained("papluca/xlm-roberta-base-language-detection")
@@ -70,8 +70,8 @@ iface = gr.Interface(
     fn=detect_language_from_audio,
     inputs=gr.Audio(type="filepath", label="Choose Audio File (WAV/MP3)"),
     outputs=gr.Textbox(label="Result"),
-    title="🎙️ Voice Language Detector",
-    description="Upload a voice file and the model will detect its language using Whisper + XLM-Roberta."
+    title="🎙️ Fast Voice Language Detector",
+    description="Upload an audio file and get the detected language instantly using Whisper-Tiny + XLM-Roberta."
 )
 
 # --- Entry point ---