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") p2=pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-hindi_v1") def transcribe_odiya(speech): #print (p1(speech)) text = p1(speech)["text"] #text=cleanhtml(text) return text def transcribe_hindi(speech): #print (p1(speech)) text = p2(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 transcribe_hin_eng(speech): from indictrans import Transliterator trn = Transliterator(source='hin', target='eng', build_lookup=True) text = p2(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) elif (lng=="Hindi-trans"): return transcribe_hin_eng(audio) elif (lng=="Hindi"): return transcribe_hindi(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(["Hindi","Hindi-trans","Odiya","Odiya-trans"],value="Hindi",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()