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Update app.py
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app.py
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@@ -6,32 +6,24 @@ from fairseq.models.speech_to_speech.hub_interface import S2SHubInterface
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from fairseq.models.speech_to_text.hub_interface import S2THubInterface
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from audio_pipe import SpeechToSpeechPipeline
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io1 = gr.Interface.load("huggingface/facebook/xm_transformer_s2ut_en-hk", api_key=os.environ['api_key'])
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io2 = gr.Interface.load("huggingface/facebook/xm_transformer_s2ut_hk-en", api_key=os.environ['api_key'])
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io3 = gr.Interface.load("huggingface/facebook/xm_transformer_unity_en-hk", api_key=os.environ['api_key'])
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io4 = gr.Interface.load("huggingface/facebook/xm_transformer_unity_hk-en", api_key=os.environ['api_key'])
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# wav, sr, text = pipe(audio)
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# temp_file = pipe(audio)
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# return gr.Audio(temp_file)
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print(pipe(audio).get_config())
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return pipe(audio).get_config()["value"]["name"]
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def inference(audio, model):
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if model == "xm_transformer_s2ut_en-hk":
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out_audio =
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elif model == "xm_transformer_s2ut_hk-en":
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out_audio =
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elif model == "xm_transformer_unity_en-hk":
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out_audio =
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elif model == "xm_transformer_unity_hk-en_gpu":
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out_audio = call_model(audio, model)
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else:
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out_audio =
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print(out_audio)
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return out_audio
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from fairseq.models.speech_to_text.hub_interface import S2THubInterface
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from audio_pipe import SpeechToSpeechPipeline
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# io1 = gr.Interface.load("huggingface/facebook/xm_transformer_s2ut_en-hk", api_key=os.environ['api_key'])
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# io2 = gr.Interface.load("huggingface/facebook/xm_transformer_s2ut_hk-en", api_key=os.environ['api_key'])
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# io3 = gr.Interface.load("huggingface/facebook/xm_transformer_unity_en-hk", api_key=os.environ['api_key'])
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# io4 = gr.Interface.load("huggingface/facebook/xm_transformer_unity_hk-en", api_key=os.environ['api_key'])
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pipe1 = SpeechToSpeechPipeline("facebook/xm_transformer_s2ut_en-hk")
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pipe2 = SpeechToSpeechPipeline("facebook/xm_transformer_s2ut_hk-en")
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pipe3 = SpeechToSpeechPipeline("facebook/xm_transformer_unity_en-hk")
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pipe4 = SpeechToSpeechPipeline("facebook/xm_transformer_unity_hk-en")
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def inference(audio, model):
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if model == "xm_transformer_s2ut_en-hk":
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out_audio = pipe1(audio).get_config()["value"]["name"]
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elif model == "xm_transformer_s2ut_hk-en":
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out_audio = pipe2(audio).get_config()["value"]["name"]
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elif model == "xm_transformer_unity_en-hk":
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out_audio = pipe3(audio).get_config()["value"]["name"]
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else:
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out_audio = pipe4(audio).get_config()["value"]["name"]
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return out_audio
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