Update app.py

app.py

@@ -127,6 +127,9 @@ LANGUAGE_NAME_TO_CODE = {
     "Sundanese": "su",
 }
 
+# Reverse mapping of language codes to full language names
+CODE_TO_LANGUAGE_NAME = {v: k for k, v in LANGUAGE_NAME_TO_CODE.items()}
+
 def detect_language(audio_file):
     """Detect the language of the audio file."""
     # Load the Whisper model (use "base" for faster detection)
@@ -140,7 +143,10 @@ def detect_language(audio_file):
     
     # Detect the language
     result = model.transcribe(processed_audio_path, task="detect_language", fp16=False)
-    detected_language = result.get("language", "unknown")
+    detected_language_code = result.get("language", "unknown")
+    
+    # Get the full language name from the code
+    detected_language = CODE_TO_LANGUAGE_NAME.get(detected_language_code, "Unknown Language")
     
     # Clean up processed audio file
     os.remove(processed_audio_path)
@@ -179,11 +185,12 @@ def transcribe_audio(audio_file, language="Auto Detect", model_size="Base (Faste
         # Transcribe the audio
         if language == "Auto Detect":
             result = model.transcribe(processed_audio_path, fp16=False)  # Auto-detect language
-            detected_language = result.get("language", "unknown")
+            detected_language_code = result.get("language", "unknown")
+            detected_language = CODE_TO_LANGUAGE_NAME.get(detected_language_code, "Unknown Language")
         else:
             language_code = LANGUAGE_NAME_TO_CODE.get(language, "en")  # Default to English if not found
             result = model.transcribe(processed_audio_path, language=language_code, fp16=False)
-            detected_language = language_code
+            detected_language = language
         
         transcription = result["text"]