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Update app.py
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app.py
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@@ -1,6 +1,7 @@
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import os
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os.system("pip install gradio==2.8.0b")
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import gradio as gr
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title = "XM_Tranformer"
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@@ -8,11 +9,11 @@ description = "Gradio Demo for fairseq S2T: Fast Speech-to-Text Modeling with fa
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2010.05171' target='_blank'>fairseq S2T: Fast Speech-to-Text Modeling with fairseq</a> | <a href='https://github.com/pytorch/fairseq/tree/main/examples/speech_to_text' target='_blank'>Github Repo</a></p>"
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io1 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-es_en-multi_domain")
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@@ -33,6 +34,7 @@ io8 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-en_tr-multi_do
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def inference(text,model):
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if model == "xm_transformer_600m-es_en-multi_domain":
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outtext = io1(text)
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elif model == "xm_transformer_600m-ru_en-multi_domain":
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@@ -59,4 +61,5 @@ gr.Interface(
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gr.outputs.Audio(label="Output"),
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article=article,
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title=title,
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description=description).launch(enable_queue=True)
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import os
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os.system("pip install gradio==2.8.0b")
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import gradio as gr
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import numpy as np
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title = "XM_Tranformer"
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2010.05171' target='_blank'>fairseq S2T: Fast Speech-to-Text Modeling with fairseq</a> | <a href='https://github.com/pytorch/fairseq/tree/main/examples/speech_to_text' target='_blank'>Github Repo</a></p>"
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examples = [
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["common_voice_es_en.flac","xm_transformer_600m-es_en-multi_domain"],
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["common_voice_ru_18945535.flac","xm_transformer_600m-ru_en-multi_domain"],
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["common_voice_fr_19731305.mp3","xm_transformer_600m-fr_en-multi_domain"]
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]
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io1 = gr.Interface.load("huggingface/facebook/xm_transformer_600m-es_en-multi_domain")
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def inference(text,model):
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outtext = np.empty()
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if model == "xm_transformer_600m-es_en-multi_domain":
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outtext = io1(text)
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elif model == "xm_transformer_600m-ru_en-multi_domain":
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gr.outputs.Audio(label="Output"),
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article=article,
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title=title,
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examples=examples,
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description=description).launch(enable_queue=True)
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