Update app.py

app.py

@@ -155,19 +155,22 @@ def apply_wiener_filter(audio):
 # Function to handle speech recognition
 def recognize_speech_telugu(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_telugu(denoised_audio)
+    #audio = high_pass_filter(audio, sr)
+    #audio = apply_wiener_filter(audio)
+    #denoised_audio = wavelet_denoise(audio)
+    #result = asr_model_telugu(denoised_audio)
+    result = asr_model_telugu(audio)
     text_value = result['text']
+    print (text_value)
     cleaned_text = text_value.replace("<s>", "")
-    converted_text=convert2num(cleaned_text,lex)
+    #converted_text=convert2num(cleaned_text,lex)
     # cleaned_text=convert2num(cleaned_text,lex)
     # converted_to_list = convert_to_list(cleaned_text, text_to_list())
     # processed_doubles = process_doubles(converted_to_list)
     # replaced_words = replace_words(processed_doubles)
     # converted_text = text_to_int(replaced_words)
-    return cleaned_text +" -----------------> " + converted_text
+    #return cleaned_text +" -----------------> " + converted_text
+    return cleaned_text
 
     # Function to handle speech recognition
 def recognize_speech_kannada(audio_file):