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Add audio generation
Browse files- utils/audio_generation.py +67 -0
utils/audio_generation.py
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import requests
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import logging
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class AudioGeneration:
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"""
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Class to convert text to local language and back to audio
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"""
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def __init__(self, prediction, confidence, language):
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self.confidence = confidence
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self.language = language
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self.prediction = prediction
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self.selected_languages = ['English', 'Ewe', 'Hausa','Akuapem', 'Asante']
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self.ghanaian_language_translator_api = "https://hnmensah-ghanaian-language-translator.hf.space/api/predict"
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self.template = self.generate_template()
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def generate_template(self):
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"""
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Generate the template for the audio file
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"""
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# For non adulterated palm oil
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if self.prediction == 0:
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if self.confidence > 80.0 and self.confidence < 100.0:
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return f"Your palm oil is good and the quality is very high"
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elif self.confidence > 60.0 and self.confidence < 80.0:
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return f"Your palm oil is good and the quality is high"
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else:
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return f"Your palm oil is good and the quality is low"
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# For adulterated palm oil
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else:
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if self.confidence > 80.0 and self.confidence < 100.0:
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return f"Your palm oil is bad and the confidence is very high"
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elif self.confidence > 60.0 and self.confidence < 80.0:
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return f"Your palm oil is bad and tthe confidence is high"
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else:
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return f"Your palm oil is bad and the confidence is very low"
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def ghanaian_language_translator(self):
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"""
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Covert the template to the local language
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:return: translated text
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"""
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logging.info("Translating text from english to local language")
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# Translate template to local language
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response = requests.post(
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self.ghanaian_language_translator_api,
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{
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"data": [
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"English",
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self.selected_languages[self.language],
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self.template
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]
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}
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)
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# Parse the response
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response = response.json()
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# Extract transcribe text
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translated_text = response['data'][0]
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logging.debug(f"Translated text:{translated_text}")
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return translated_text
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