Duplicate from coqui/xtts

Co-authored-by: Vaibhav Srivastav <reach-vb@users.noreply.huggingface.co>

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README.md

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+---
+title: XTTS
+emoji: 🐸
+colorFrom: green
+colorTo: red
+sdk: gradio
+sdk_version: 3.44.2
+app_file: app.py
+pinned: false
+models:
+- coqui/XTTS-v1
+duplicated_from: coqui/xtts
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from TTS.api import TTS
+
+tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1")
+tts.to("cuda")
+
+
+def predict(prompt, language, audio_file_pth, agree):
+    if agree == True:
+        tts.tts_to_file(
+            text=prompt,
+            file_path="output.wav",
+            speaker_wav=audio_file_pth,
+            language=language,
+        )
+
+        return (
+            gr.make_waveform(
+                audio="output.wav",
+            ),
+            "output.wav",
+        )
+    else:
+        gr.Warning("Please accept the Terms & Condition!")
+
+
+title = "Coqui🐸 XTTS"
+
+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/>
+Built on Tortoise, XTTS has important model changes that make cross-language voice cloning and multi-lingual speech generation super easy. 
+<br/>
+This is the same model that powers Coqui Studio, and Coqui API, however we apply a few tricks to make it faster and support streaming inference.
+<br/>
+<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 = [
+    [
+        "Once when I was six years old I saw a magnificent picture.",
+        "en",
+        "examples/female.wav",
+        True,
+    ],
+    [
+        "Lorsque j'avais six ans j'ai vu, une fois, une magnifique image.",
+        "fr",
+        "examples/male.wav",
+        True,
+    ],
+    [
+        "Un tempo lontano, quando avevo sei anni, vidi un magnifico disegno.",
+        "it",
+        "examples/female.wav",
+        True,
+    ],
+]
+
+gr.Interface(
+    fn=predict,
+    inputs=[
+        gr.Textbox(
+            label="Text Prompt",
+            info="One or two sentences at a time is better",
+            value="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
+        ),
+        gr.Dropdown(
+            label="Language",
+            info="Select an output language for the synthesised speech",
+            choices=[
+                "en",
+                "es",
+                "fr",
+                "de",
+                "it",
+                "pt",
+                "pl",
+                "tr",
+                "ru",
+                "nl",
+                "cz",
+                "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.Checkbox(
+            label="Agree",
+            value=False,
+            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,
+    examples=examples,
+).queue().launch(debug=True)

examples/female.wav

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+oid sha256:89a4fa9a16b6463f852cf9424f72c3d3c87aa83010e89db534c53fcd1ae12c02
+size 1002030

examples/male.wav

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+version https://git-lfs.github.com/spec/v1
+oid sha256:937c74afad004937e00d1687c68e02210e0c5d93ac072a7c8aeb9ab573517bb1
+size 762126

requirements.txt

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+TTS