Update app.py

app.py

@@ -240,16 +240,16 @@ def recognize_speech_malayalam_model1(audio_file):
     return text_value +" -----------------> " + converted_text
 
 ## Function to handle speech recognition
-# def recognize_speech_malayalam2(audio_file):
-#     audio, sr = librosa.load(audio_file, sr=16000)
-#     audio = high_pass_filter(audio, sr)
-#     audio = apply_wiener_filter(audio)
-#     denoised_audio = wavelet_denoise(audio)
-#     result = asr_model_malayalam(denoised_audio)
-#     text_value = result['text']
-#     # cleaned_text = text_value.replace("[UNK]", "")
-#     # converted_text=convert2numkn(cleaned_text,kanlex)
-#     return cleaned_text +" -----------------> " + converted_text
+def recognize_speech_malayalam2(audio_file):
+    audio, sr = librosa.load(audio_file, sr=16000)
+    audio = high_pass_filter(audio, sr)
+    audio = apply_wiener_filter(audio)
+    denoised_audio = wavelet_denoise(audio)
+    result = asr_model_malayalam(denoised_audio)
+    text_value = result['text']
+    cleaned_text = text_value.replace("[UNK]", "")
+    converted_text=convert2numkn(cleaned_text,kanlex)
+    return cleaned_text +" -----------------> " + converted_text
 
 def sel_lng(lng, mic=None, file=None):
     if mic is not None:
@@ -261,8 +261,8 @@ def sel_lng(lng, mic=None, file=None):
     
     if lng == "malayalam_model1":
         return recognize_speech_malayalam_model1(audio)
-    # elif lng == "malayalam_model2":
-    #     return recognize_speech_malayalam_model2(audio)
+    elif lng == "malayalam_model2":
+        return recognize_speech_malayalam_model2(audio)
 
              
 demo=gr.Interface(
@@ -270,7 +270,7 @@ demo=gr.Interface(
       
     inputs=[
         gr.Dropdown([
-            "malayalam_model1"],label="Select Model"),
+            "malayalam_model1",'malayalam_model2'],label="Select Model"),
         gr.Audio(sources=["microphone","upload"], type="filepath"),
     ],
     outputs=[