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) sentence = trn.transform(text) replaced_words = replace_words(sentence) processed_sentence = process_doubles(replaced_words) input_sentence_1 = processed_sentence # Create empty mappings word_to_code_map = {} code_to_word_map = {} # Convert sentence to transcript transcript_1 = sentence_to_transcript(input_sentence_1, word_to_code_map) # Convert transcript to numerical representation numbers = text2int(transcript_1) # Create reverse mapping code_to_word_map = {v: k for k, v in word_to_code_map.items()} # Convert transcript back to sentence text = transcript_to_sentence(numbers, code_to_word_map) 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) sentence = trn.transform(text) replaced_words = replace_words(sentence) processed_sentence = process_doubles(replaced_words) input_sentence_1 = processed_sentence # Create empty mappings word_to_code_map = {} code_to_word_map = {} # Convert sentence to transcript transcript_1 = sentence_to_transcript(input_sentence_1, word_to_code_map) # Convert transcript to numerical representation numbers = text2int(transcript_1) # Create reverse mapping code_to_word_map = {v: k for k, v in word_to_code_map.items()} # Convert transcript back to sentence text = transcript_to_sentence(numbers, code_to_word_map) 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 replace_words(sentence): 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'), ] for pattern, replacement in replacements: sentence = re.sub(pattern, replacement, sentence) return sentence # Function to process "double" followed by a number def process_doubles(sentence): tokens = sentence.split() result = [] i = 0 while i < len(tokens): if tokens[i] in ("double", "dubal"): if i + 1 < len(tokens): result.append(tokens[i + 1]) result.append(tokens[i + 1]) i += 2 else: result.append(tokens[i]) i += 1 else: result.append(tokens[i]) i += 1 return ' '.join(result) # Function to generate Soundex code for a word 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] def is_number(x): if type(x) == str: x = x.replace(',', '') try: float(x) except: return False return True # Function to convert text to numerical representation 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'] tens = ['', '', 'T537', 'T637', 'F637', 'F137', 'S230', 'S153', 'E230', 'N530'] scales = ['H536', 'T253', 'M450', 'C600'] 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 # Convert sentence to transcript using Soundex def sentence_to_transcript(sentence, word_to_code_map): words = sentence.split() transcript_codes = [] for word in words: if word not in word_to_code_map: word_to_code_map[word] = soundex(word) transcript_codes.append(word_to_code_map[word]) transcript = ' '.join(transcript_codes) return transcript # Convert transcript back to sentence using mapping def transcript_to_sentence(transcript, code_to_word_map): codes = transcript.split() sentence_words = [] for code in codes: sentence_words.append(code_to_word_map.get(code, code)) sentence = ' '.join(sentence_words) return 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()