Update app.py

app.py

@@ -31,6 +31,22 @@ from waveletDenoise import wavelet_denoise
 from scipy.signal import butter, lfilter, wiener
 
 asr_model = pipeline("automatic-speech-recognition", model="cdactvm/w2v-bert-tamil_new")
+
+def createlex(filename):
+
+
+# Initialize an empty dictionary
+    data_dict = {}
+
+# Open the file and read it line by line
+    with open(filename, "r", encoding="utf-8") as f:
+        for line in f:
+        # Strip newline characters and split by tab
+            key, value = line.strip().split("\t")
+        # Add to dictionary
+            data_dict[key] = value
+    return data_dict
+    
 lex=createlex("num_words_ta.txt")
 # Function to apply a high-pass filter
 def high_pass_filter(audio, sr, cutoff=300):
@@ -52,20 +68,7 @@ def wavelet_denoise(audio, wavelet='db1', level=1):
 def apply_wiener_filter(audio):
     return wiener(audio)
 
-def createlex(filename):
-
 
-# Initialize an empty dictionary
-    data_dict = {}
-
-# Open the file and read it line by line
-    with open(filename, "r", encoding="utf-8") as f:
-        for line in f:
-        # Strip newline characters and split by tab
-            key, value = line.strip().split("\t")
-        # Add to dictionary
-            data_dict[key] = value
-    return data_dict
 
 def addnum(inlist):
     sum=0