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import gradio as gr
from transformers import pipeline
import os
import re
os.system('git clone https://github.com/irshadbhat/indic-trans.git')
os.system('pip install ./indic-trans/.')
p1= pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-odia_v1")
def transcribe_odiya(speech):
#print (p1(speech))
text = p1(speech)["text"]
#text=cleanhtml(text)
return text
def transcribe_odiya_eng(speech):
from indictrans import Transliterator
trn = Transliterator(source='ori', target='eng', build_lookup=True)
text = p1(speech)["text"]
text=trn.transform(text)
text = master_function(text)
return text
def sel_lng(lng,mic=None, file=None):
if mic is not None:
audio = mic
elif file is not None:
audio = file
else:
return "You must either provide a mic recording or a file"
if (lng=="Odiya"):
return transcribe_odiya(audio)
elif (lng=="Odiya-trans"):
return transcribe_odiya_eng(audio)
#####################################################
def soundex(word):
word = word.upper()
word = ''.join(filter(str.isalpha, word))
if not word:
return None
soundex_mapping = {
'B': '1', 'F': '1', 'P': '1', 'V': '1',
'C': '2', 'G': '2', 'J': '2', 'K': '2', 'Q': '2',
'S': '2', 'X': '2', 'Z': '2',
'D': '3', 'T': '3',
'L': '4',
'M': '5', 'N': '5',
'R': '6'
}
soundex_code = word[0]
for char in word[1:]:
if char not in ('H', 'W'):
soundex_code += soundex_mapping.get(char, '0')
soundex_code = soundex_code[0] + ''.join(c for i, c in enumerate(soundex_code[1:]) if c != soundex_code[i])
soundex_code = soundex_code.replace('0', '') + '000'
return soundex_code[:4]
# convert special tecken to numbers
def is_number(x):
if type(x) == str:
x = x.replace(',', '')
try:
float(x)
except:
return False
return True
def text2int (textnum, numwords={}):
units = ['Z600', 'O500','T000','T600','F600','F100','S220','S150','E300','N500',
'T500', 'E415', 'T410', 'T635', 'F635', 'F135', 'S235', 'S153', 'E235','N535']
# teens = ['T500', 'E415', 'T410', 'T635', 'F635', 'F135', 'S235', 'S153', 'E235','N535']
tens = ['', '', 'T537', 'T637', 'F637', 'F137', 'S230', 'S153', 'E230', 'N530']
scales = ['H536', 'T253', 'M450', 'C600']
# scale_values = [100, 1_000, 10_0000, 1000_000_000]
indian_scales = ['L200', 'C600', 'A610', 'K610']
conjunction = ['and']
ordinal_words = {'oh': 'Z600', 'first': 'O500', 'second': 'T000', 'third': 'T600', 'fourth': 'F600', 'fifth': 'F100',
'sixth': 'S200','seventh': 'S150','eighth': 'E230', 'ninth': 'N500', 'twelfth': 'T410'}
ordinal_endings = [('ieth', 'y'), ('th', '')]
if not numwords:
numwords['and'] = (1, 0)
for idx, word in enumerate(units): numwords[word] = (1, idx)
for idx, word in enumerate(tens): numwords[word] = (1, idx * 10)
for idx, word in enumerate(scales): numwords[word] = (10 ** (idx * 3 or 2), 0)
textnum = textnum.replace('-', ' ')
current = result = 0
curstring = ''
onnumber = False
lastunit = False
lastscale = False
def is_numword(x):
if is_number(x):
return True
if word in numwords:
return True
return False
def from_numword(x):
if is_number(x):
scale = 0
increment = int(x.replace(',', ''))
return scale, increment
return numwords[x]
for word in textnum.split():
if word in ordinal_words:
scale, increment = (1, ordinal_words[word])
current = current * scale + increment
if scale > 100:
result += current
current = 0
onnumber = True
lastunit = False
lastscale = False
else:
for ending, replacement in ordinal_endings:
if word.endswith(ending):
word = "%s%s" % (word[:-len(ending)], replacement)
if (not is_numword(word)) or (word == 'and' and not lastscale):
if onnumber:
# Flush the current number we are building
curstring += repr(result + current) + " "
curstring += word + " "
result = current = 0
onnumber = False
lastunit = False
lastscale = False
else:
scale, increment = from_numword(word)
onnumber = True
if lastunit and (word not in scales):
# Assume this is part of a string of individual numbers to
# be flushed, such as a zipcode "one two three four five"
curstring += repr(result + current)
result = current = 0
if scale > 1:
current = max(1, current)
current = current * scale + increment
if scale > 100:
result += current
current = 0
lastscale = False
lastunit = False
if word in scales:
lastscale = True
elif word in units:
lastunit = True
if onnumber:
curstring += repr(result + current)
return curstring
# replace those words which are not correctly spelled to correct words.
def replace_words(sentence):
# Define the replacements
replacements = [
(r'\bjiro\b', 'zero'),
(r'\bjero\b', 'zero'),
(r'\bnn\b', 'one'),
(r'\bn\b', 'one'),
(r'\bna\b', 'one'),
(r'\btu\b', 'two'),
(r'\btoo\b', 'two'),
(r'\bthiri\b', 'three'),
(r'\bfor\b', 'four'),
(r'\bfore\b', 'four'),
(r'\bfib\b', 'five'),
(r'\bdublseven\b', 'double seven'),
(r'\bdubalathri\b', 'double three'),
(r'\bnineeit\b', 'nine eight'),
(r'\bfipeit\b', 'five eight'),
(r'\bdubal\b', 'double'),
(r'\bsevenatu\b', 'seven two'),
]
# Apply the replacements
for pattern, replacement in replacements:
sentence = re.sub(pattern, replacement, sentence)
return sentence
# split text and numbers and get it into different sentences.
def split_sentence(sentence):
# List of word-based numbers
word_numbers = ["zero", "one", "two", "three", "four", "five", "six", "seven", "eight", "nine",
"ten", "eleven", "twelve", "thirteen", "fourteen", "fifteen", "sixteen",
"seventeen", "eighteen", "nineteen", "twenty", "thirty", "forty", "fifty",
"sixty", "seventy", "eighty", "ninety", "hundred", "thousand", "million",
'zero', 'one', 'on','na','n','tu','two','to','too', 'three','tree','four',
'for','five','fib', 'six', 'seven', 'eight', 'eit', 'nine', 'eit', 'seven',
'sics', 'thri', 'for', 'eittu', 'eittu', 'nine','dubal','sikas','tri', 'double']
# Split the sentence into tokens
tokens = sentence.split()
# Initialize variables to store the parts of the sentence
pre_numbers = []
numbers = []
post_numbers = []
found_numbers = False
# Iterate through the tokens to classify them
for token in tokens:
if token.lower() in word_numbers:
found_numbers = True
numbers.append(token)
else:
if found_numbers:
post_numbers.append(token)
else:
pre_numbers.append(token)
# Join the parts back into sentences
sentence1 = ' '.join(pre_numbers)
number = ' '.join(numbers)
sentence3 = ' '.join(post_numbers)
return sentence1, number, sentence3
# Process double followed by a numbers.
def process_doubles(sentence):
tokens = sentence.split()
result = []
i = 0
while i < len(tokens):
if tokens[i] == "double" or tokens[i] == "dubal":
if i + 1 < len(tokens):
# Repeat the next word twice
result.append(tokens[i + 1])
result.append(tokens[i + 1])
i += 2 # Skip the next word as it's already added twice
else:
# If "double" is the last word, just add it (although this case is unusual)
result.append(tokens[i])
i += 1
else:
result.append(tokens[i])
i += 1
return ' '.join(result)
# Concatenate text and numbers and form a single sentence.
def concatenate_sentences(sentence1, numbers, sentence3):
full_sentence = f"{sentence1} {numbers} {sentence3}"
return full_sentence
# define a master function to run all the above functions.
def master_function(initial_input):
output_string1 = replace_words(initial_input)
sentence1, number, sentence3 = split_sentence(output_string1)
processed_sentence = process_doubles(number)
text = processed_sentence
words = text.strip().split()
soundex_codes = [soundex(word) for word in words]
combined_text = " ".join(soundex_codes)
numbers=text2int(combined_text)
full_sentence = concatenate_sentences(sentence1, numbers, sentence3)
return full_sentence
######################################################
demo=gr.Interface(
fn=sel_lng,
inputs=[
gr.Dropdown(["Odiya","Odiya-trans"],value="Odiya",label="Select Language"),
gr.Audio(sources=["microphone","upload"], type="filepath"),
#gr.Audio(sources="upload", type="filepath"),
#"state"
],
outputs=[
"textbox"
# #"state"
],
title="Automatic Speech Recognition",
description = "Demo for Automatic Speech Recognition. Use microphone to record speech. Please press Record button. Initially it will take some time to load the model. The recognized text will appear in the output textbox",
).launch()
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