Update app.py

app.py

@@ -8,7 +8,7 @@ from gliner import GLiNER
 import gradio as gr
 
 # Load transcription models
-whisper_pipeline_agri = pipeline("automatic-speech-recognition", model="maliahson/whisper-agri")
+whisper_pipeline_agri = pipeline("automatic-speech-recognition", model="maliahson/Finetuned_Whisper_Medium_Model_2")
 device = 0 if torch.cuda.is_available() else "cpu"
 
 # Initialize GLiNER for information extraction