done, working vertion

app.py

@@ -6,20 +6,72 @@ import json
 #from flask import Flask, jsonify
  
 DEBUG_MODE = False
+TITLE = "《★~ N.N.F. Text To Speech V2 ~★ 》"
+FAVICON = "https://aeiljuispo.cloudimg.io/v7/https://cdn-uploads.huggingface.co/production/uploads/65b453089151075ad87382ea/9NpWGb4xBrZovX1o7DF-5.jpeg"
 
+INPUT_TEXT_PROMPT_EXAMPLE="""
+Não sou nada,
+não serei nada,
+não posso querer ser nada.
+À parte isso, tenho em mim todos os sonhos do mundo.
+"""
 
+DECRIPTION = """
+This is a simple Text To Speech (TTS) model that uses the XTTS model from Hugging Face.
+You can use this model to generate audio from text in multiple languages.
+It can be used as an API or as a standalone application.
+"""
 
-def echo(text, lang, request: gr.Request):
-    output_text = {"report1": "SUCCESS"}  # Initialize as a dictionary
-    output_text["report3"] = text
-    
+def predict(text, lang, audio, request: gr.Request):
+    output_text = {"verdict ": "SUCCESS"}  # Initialize as a dictionary
+    output_text["Text"] = text
+    output_text["Language"] = lang
     
     if request:
         # Convert headers to a dictionary and include them in the output_text
         output_text["headers"] = dict(request.headers.items())
-    
 
     output_text_json = json.dumps(output_text)
     return output_text_json
 
-io = gr.Interface(echo, ["textarea", "textbox"], "json").launch(share=True)
+io = gr.Interface(
+    fn=predict,
+    inputs=[
+        #definition of the input text to parse
+        gr.Textbox(
+            label="Text Prompt",
+            info="One or two sentences at a time is better",
+            value=INPUT_TEXT_PROMPT_EXAMPLE,
+        ),
+        gr.Dropdown(
+            label="Language",
+            info="Select an output language for the reader",
+            choices=[
+                "en",
+                "es",
+                "fr",
+                "it",
+                "pt",
+                "nl",
+            ],
+            #max_choices=1,
+            value="pt",
+        ),
+        #gr.Audio(
+        #    label="Reference Audio",
+        #    info="Click on the ✎ button to upload your own target speaker audio",
+        #    type="filepath",
+        #    value="examples/female.wav",
+        #),
+    ],
+    outputs=[
+        #gr.Video(label="Waveform Visual"),
+        "json",
+    ],
+    title=TITLE,
+    description=DECRIPTION,
+    #favicon_path=FAVICON,
+    #article=article,
+    #cache_examples=False,
+    #examples=examples,
+).queue().launch(share=True)

app_.py

@@ -0,0 +1,262 @@
+#from https://huggingface.co/spaces/kerncraze/XTTS_V1_CPU/tree/main
+import sys
+import os
+# By using XTTS you agree to CPML license https://coqui.ai/cpml
+os.environ["COQUI_TOS_AGREED"] = "1"
+
+import gradio as gr
+from TTS.api import TTS
+
+model_names = TTS().list_models()
+m = model_names[0]
+#print(model_names)
+print(os.system("pip show TTS"))
+print(f"Model: {m}")
+tts = TTS(m, gpu=False)
+tts.to("cpu") # no GPU or Amd
+#tts.to("cuda") # cuda only
+
+def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree):
+    if agree == True:
+        if use_mic == True:
+            if mic_file_path is not None:
+                speaker_wav=mic_file_path
+            else:
+                gr.Warning("Please record your voice with Microphone, or uncheck Use Microphone to use reference audios")
+                return (
+                    None,
+                    None,
+                ) 
+                
+        else:
+            speaker_wav=audio_file_pth
+
+        if len(prompt)<2:
+            gr.Warning("Please give a longer prompt text")
+            return (
+                    None,
+                    None,
+                )
+        if len(prompt)>10000:
+            gr.Warning("Text length limited to 10000 characters for this demo, please try shorter text")
+            return (
+                    None,
+                    None,
+                )  
+        try:
+            if language == "fr":
+                if m.find("your") != -1:
+                    language = "fr-fr"
+            if m.find("/fr/") != -1:
+                language = None
+            tts.tts_to_file(
+                text=prompt,
+                file_path="output.wav",
+                speaker_wav=speaker_wav,
+                language=language
+            )
+        except RuntimeError as e :
+            if "device-assert" in str(e):
+                # cannot do anything on cuda device side error, need tor estart
+                gr.Warning("Unhandled Exception encounter, please retry in a minute")
+                print("Cuda device-assert Runtime encountered need restart")
+                sys.exit("Exit due to cuda device-assert")
+            else:
+                raise e
+            
+        return (
+            gr.make_waveform(
+                audio="output.wav",
+            ),
+            "output.wav",
+        )
+    else:
+        gr.Warning("Please accept the Terms & Condition!")
+        return (
+                None,
+                None,
+            ) 
+
+
+title = "XTTS Glz's remake (Fonctional Text-2-Speech)"
+
+description = """
+<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. 
+<br/>
+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. 
+<br/>
+This is the same model that powers our creator application <a href="https://coqui.ai">Coqui Studio</a> as well as the <a href="https://docs.coqui.ai">Coqui API</a>. In production we apply modifications to make low-latency streaming possible.
+<br/>
+Leave a star on the Github <a href="https://github.com/coqui-ai/TTS">TTS</a>, where our open-source inference and training code lives.
+<br/>
+<p>For faster inference without waiting in the queue, you should duplicate this space and upgrade to GPU via the settings.
+<br/>
+<a href="https://huggingface.co/spaces/coqui/xtts?duplicate=true">
+<img style="margin-top: 0em; margin-bottom: 0em" src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>
+</p>
+"""
+
+article = """
+<div style='margin:20px auto;'>
+<p>By using this demo you agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml</p>
+</div>
+"""
+examples = [
+    [
+        "Hello, World !, here is an example of light voice cloning. Try to upload your best audio samples quality",
+        "en",
+        "examples/female.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Je suis un lycéen français de 17 ans, passioner par la Cyber-Sécuritée et les models d'IA.",
+        "fr",
+        "examples/male.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Als ich sechs war, sah ich einmal ein wunderbares Bild",
+        "de",
+        "examples/female.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Cuando tenía seis años, vi una vez una imagen magnífica",
+        "es",
+        "examples/male.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Quando eu tinha seis anos eu vi, uma vez, uma imagem magnífica",
+        "pt",
+        "examples/female.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Kiedy miałem sześć lat, zobaczyłem pewnego razu wspaniały obrazek",
+        "pl",
+        "examples/male.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Un tempo lontano, quando avevo sei anni, vidi un magnifico disegno",
+        "it",
+        "examples/female.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Bir zamanlar, altı yaşındayken, muhteşem bir resim gördüm",
+        "tr",
+        "examples/female.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Когда мне было шесть лет, я увидел однажды удивительную картинку",
+        "ru",
+        "examples/female.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Toen ik een jaar of zes was, zag ik op een keer een prachtige plaat",
+        "nl",
+        "examples/male.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "Když mi bylo šest let, viděl jsem jednou nádherný obrázek",
+        "cs",
+        "examples/female.wav",
+        None,
+        False,
+        True,
+    ],
+    [
+        "当我还只有六岁的时候， 看到了一副精彩的插画",
+        "zh-cn",
+        "examples/female.wav",
+        None,
+        False,
+        True,
+    ],
+]
+
+
+
+gr.Interface(
+    fn=predict,
+    inputs=[
+        gr.Textbox(
+            label="Text Prompt",
+            info="One or two sentences at a time is better",
+            value="Hello, World !, here is an example of light voice cloning. Try to upload your best audio samples quality",
+        ),
+        gr.Dropdown(
+            label="Language",
+            info="Select an output language for the synthesised speech",
+            choices=[
+                "en",
+                "es",
+                "fr",
+                "de",
+                "it",
+                "pt",
+                "pl",
+                "tr",
+                "ru",
+                "nl",
+                "cs",
+                "ar",
+                "zh-cn",
+            ],
+            max_choices=1,
+            value="en",
+        ),
+        gr.Audio(
+            label="Reference Audio",
+            info="Click on the ✎ button to upload your own target speaker audio",
+            type="filepath",
+            value="examples/female.wav",
+        ),
+        gr.Audio(source="microphone",
+                 type="filepath",
+                 info="Use your microphone to record audio",
+                 label="Use Microphone for Reference"),
+        gr.Checkbox(label="Check to use Microphone as Reference",
+                    value=False,
+                    info="Notice: Microphone input may not work properly under traffic",),
+        gr.Checkbox(
+            label="Agree",
+            value=True,
+            info="I agree to the terms of the Coqui Public Model License at https://coqui.ai/cpml",
+        ),
+    ],
+    outputs=[
+        gr.Video(label="Waveform Visual"),
+        gr.Audio(label="Synthesised Audio"),
+    ],
+    title=title,
+    description=description,
+    article=article,
+    cache_examples=False,
+    examples=examples,
+).queue().launch(debug=True, show_error=True)

requirements.txt

@@ -4,4 +4,4 @@ bark
 #numpy
 #share_btn
 flask
-#bark.generation
+#bark.generation