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Update app.py
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app.py
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@@ -118,9 +118,10 @@ def predict_and_ctc_lm_decode(input_file, speaker_idx: str=None):
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description = """This is a Gradio demo for generating gender-neutralized audios. To use it, simply provide an audio input (via microphone or audio recording), which will then be transcribed and gender-neutralized using pre-trained models. Finally, with the help of Coqui's TTS model, gender neutralized audio is generated.
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"""
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@@ -128,9 +129,9 @@ article = """ **Acknowledgement**
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This project is based on the following Spaces:
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"""
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description = """This is a Gradio demo for generating gender-neutralized audios. To use it, simply provide an audio input (via microphone or audio recording), which will then be transcribed and gender-neutralized using pre-trained models. Finally, with the help of Coqui's TTS model, gender neutralized audio is generated.
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Pre-trained model used for Spanish ASR: [Please Click Here](https://huggingface.co/jonatasgrosman/wav2vec2-xls-r-1b-spanish)
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Pre-trained model used for Gender Neutralization: [Please Click Here](https://huggingface.co/hackathon-pln-es/es_text_neutralizer)
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Pre-trained model used for TTS: 🐸💬 CoquiTTS => model_name = "es/mai/tacotron2-DDC"
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"""
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This project is based on the following Spaces:
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[CoquiTTS](https://huggingface.co/spaces/coqui/CoquiTTS)
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[es_nlp_gender_neutralizer](https://huggingface.co/spaces/hackathon-pln-es/es_nlp_gender_neutralizer)
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[Hindi_ASR](https://huggingface.co/spaces/anuragshas/Hindi_ASR)
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"""
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