Update app.py

app.py

@@ -239,17 +239,17 @@ def recognize_speech_malayalam_model1(audio_file):
     converted_text = text_to_int(replaced_words)
     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
+#     # 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 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_model2","malayalam_model2"],label="Select Model"),
+            "malayalam_model2"],label="Select Model"),
         gr.Audio(sources=["microphone","upload"], type="filepath"),
     ],
     outputs=[