Update app.py

app.py

@@ -1,4 +1,4 @@
-from __future__ import annotationsfrom __future__ import annotations
+from __future__ import annotations
 import torch
 import torchaudio
 import gradio as gr
@@ -9,20 +9,19 @@ import re
 DESCRIPTION = "IndicConformer ASR with Automatic Language Identification"
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# --- ASR Model (The one we used before) ---
+
 print("Loading ASR model (IndicConformer)...")
 asr_model_id = "ai4bharat/indic-conformer-600m-multilingual"
 asr_model = AutoModel.from_pretrained(asr_model_id, trust_remote_code=True).to(device)
 asr_model.eval()
-print("✅ ASR Model loaded.")
+print(" ASR Model loaded.")
 
-# --- Language Identification (LID) Model ---
 print("\nLoading Language ID model (MMS-LID)...")
 lid_model_id = "facebook/mms-lid"
 lid_processor = AutoProcessor.from_pretrained(lid_model_id)
 lid_model = AutoModel.from_pretrained(lid_model_id).to(device)
 lid_model.eval()
-print("✅ Language ID Model loaded.")
+print(" Language ID Model loaded.")
 
 
 # --- Language Mappings ---
@@ -53,7 +52,7 @@ print("Loading ASR model (IndicConformer)...")
 asr_model_id = "ai4bharat/indic-conformer-600m-multilingual"
 asr_model = AutoModel.from_pretrained(asr_model_id, trust_remote_code=True).to(device)
 asr_model.eval()
-print("✅ ASR Model loaded.")
+print(" ASR Model loaded.")
 
 # --- Language Identification (LID) Model ---
 print("\nLoading Language ID model (MMS-LID)...")
@@ -61,7 +60,7 @@ lid_model_id = "facebook/mms-lid"
 lid_processor = AutoProcessor.from_pretrained(lid_model_id)
 lid_model = AutoModel.from_pretrained(lid_model_id).to(device)
 lid_model.eval()
-print("✅ Language ID Model loaded.")
+print(" Language ID Model loaded.")
 
 
 # --- Language Mappings ---