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Update app.py
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app.py
CHANGED
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@@ -1,3 +1,4 @@
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import os
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os.environ["HF_HOME"] = "/tmp"
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os.environ["TRANSFORMERS_CACHE"] = "/tmp"
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@@ -35,6 +36,52 @@ number_words = {
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100: "boqol", 1000: "kun"
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}
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def number_to_words(number):
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number = int(number)
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if number < 20:
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@@ -50,21 +97,13 @@ def number_to_words(number):
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return part
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elif number < 1000000:
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thousands, remainder = divmod(number, 1000)
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words = []
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if thousands == 1:
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words.append("kun")
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else:
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words.append(number_to_words(thousands) + " kun")
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if remainder:
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words.append("iyo " + number_to_words(remainder))
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return " ".join(words)
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elif number < 1000000000:
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millions, remainder = divmod(number, 1000000)
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words = []
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if millions == 1:
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words.append("milyan")
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else:
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words.append(number_to_words(millions) + " milyan")
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if remainder:
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words.append(number_to_words(remainder))
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return " ".join(words)
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@@ -72,11 +111,27 @@ def number_to_words(number):
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return str(number)
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def normalize_text(text):
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text = re.sub(r'(\d{1,3})(,\d{3})+', lambda m: m.group(0).replace(",", ""), text)
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text = re.sub(r'\.\d+', '', text)
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def replace_num(match):
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return number_to_words(match.group())
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text = re.sub(r'\d+', replace_num, text)
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symbol_map = {
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'$': 'doolar',
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'=': 'egwal',
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@@ -85,9 +140,13 @@ def normalize_text(text):
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}
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for sym, word in symbol_map.items():
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text = text.replace(sym, ' ' + word + ' ')
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text = text.replace("KH", "qa").replace("Z", "S")
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text = text.replace("SH", "SHa'a").replace("DH", "Dha'a")
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return text
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def waveform_to_wav_bytes(waveform: torch.Tensor, sample_rate: int = 22050) -> bytes:
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# Environment settings
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import os
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os.environ["HF_HOME"] = "/tmp"
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os.environ["TRANSFORMERS_CACHE"] = "/tmp"
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100: "boqol", 1000: "kun"
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}
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shortcut_map = {
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"asc": "asalaamu caleykum",
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"wcs": "wacaleykum salaam",
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"fcn": "fiican",
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"xld": "xaaladda ka waran",
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"kwrn": "kawaran",
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"scw": "salalaahu caleyhi wa salam",
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"alx": "alxamdu lilaahi",
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"m.a": "maasha allah",
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"sthy": "side tahey",
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"sxp": "saaxiib"
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}
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country_map = {
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"somalia": "Soomaaliya",
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"ethiopia": "Itoobiya",
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"kenya": "Kenya",
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"djibouti": "Jabuuti",
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"sudan": "Suudaan",
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"Yeman": "yemaan",
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"uganda": "Ugaandha",
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"tanzania": "Tansaaniya",
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"egypt": "Masar",
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"libya": "Liibiya",
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"algeria": "Aljeeriya",
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"morocco": "Morooko",
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"tunisia": "Tuniisiya",
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"eritrea": "Eriteriya",
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"malawi": "Malaawi",
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"English": "ingiriis",
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"Spain": "isbeen",
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"Brazil": "baraasiil",
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"niger": "Niyjer",
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"Italy": "itaaliya",
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"united states": "Maraykanka",
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"china": "Shiinaha",
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"india": "Hindiya",
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"russia": "Ruushka",
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"Saudi Arabia": "Sucuudi Carabiya",
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"germany": "Jarmalka",
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"france": "Faransiiska",
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"japan": "Jabaan",
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"canada": "Kanada",
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"australia": "Australia"
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}
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def number_to_words(number):
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number = int(number)
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if number < 20:
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return part
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elif number < 1000000:
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thousands, remainder = divmod(number, 1000)
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words = [number_to_words(thousands) + " kun" if thousands > 1 else "kun"]
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if remainder:
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words.append("iyo " + number_to_words(remainder))
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return " ".join(words)
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elif number < 1000000000:
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millions, remainder = divmod(number, 1000000)
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words = [number_to_words(millions) + " milyan" if millions > 1 else "milyan"]
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if remainder:
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words.append(number_to_words(remainder))
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return " ".join(words)
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return str(number)
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def normalize_text(text):
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text = re.sub(r'(?i)(?<!\w)zamzam(?!\w)', 'samsam', text)
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def replace_shortcuts(match):
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word = match.group(0).lower()
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return shortcut_map.get(word, word)
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pattern = re.compile(r'\b(' + '|'.join(re.escape(k) for k in shortcut_map.keys()) + r')\b', re.IGNORECASE)
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text = pattern.sub(replace_shortcuts, text)
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def replace_countries(match):
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word = match.group(0).lower()
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return country_map.get(word, word)
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country_pattern = re.compile(r'\b(' + '|'.join(re.escape(k) for k in country_map.keys()) + r')\b', re.IGNORECASE)
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text = country_pattern.sub(replace_countries, text)
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text = re.sub(r'(\d{1,3})(,\d{3})+', lambda m: m.group(0).replace(",", ""), text)
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text = re.sub(r'\.\d+', '', text)
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def replace_num(match):
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return number_to_words(match.group())
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text = re.sub(r'\d+', replace_num, text)
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symbol_map = {
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'$': 'doolar',
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'=': 'egwal',
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}
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for sym, word in symbol_map.items():
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text = text.replace(sym, ' ' + word + ' ')
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text = text.replace("KH", "qa").replace("Z", "S")
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text = text.replace("SH", "SHa'a").replace("DH", "Dha'a")
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if re.search(r'(?i)(zamzam|samsam)[\s\.,!?]*$', text.strip()):
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text += " m"
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return text
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def waveform_to_wav_bytes(waveform: torch.Tensor, sample_rate: int = 22050) -> bytes:
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