Update app.py

app.py

@@ -12,28 +12,9 @@ import spaces
 import nemo.collections.asr as nemo_asr
 
 LANGUAGE_NAME_TO_CODE = {
-    "Assamese": "as",
-    "Bengali": "bn",
-    "Bodo": "br",
-    "Dogri": "doi",
-    "Gujarati": "gu",
+    
     "Hindi": "hi",
-    "Kannada": "kn",
-    "Kashmiri": "ks",
-    "Konkani": "kok",
-    "Maithili": "mai",
-    "Malayalam": "ml",
-    "Manipuri": "mni",
-    "Marathi": "mr",
-    "Nepali": "ne",
-    "Odia": "or",
-    "Punjabi": "pa",
-    "Sanskrit": "sa",
-    "Santali": "sat",
-    "Sindhi": "sd",
-    "Tamil": "ta",
-    "Telugu": "te",
-    "Urdu": "ur"
+    
 }
 
 
@@ -43,7 +24,7 @@ DESCRIPTION = """\
 **IndicConformer**, a speech recognition model for **22 Indian languages**. The model operates in two modes: **CTC (Connectionist Temporal Classification)** and **RNNT (Recurrent Neural Network Transducer)**
 
 #### **How to Use:**  
-1. **Upload or record** an audio clip in any supported Indian language.  
+1. **Upload or record** an audio clip in Hindi.  
 2. Select the **mode** (CTC or RNNT) for transcription.  
 3. Click **"Transcribe"** to generate the corresponding text.