Duplicate from elevenlabs/tts

Co-authored-by: Flavio <flavioschneider@users.noreply.huggingface.co>

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.bz2 filter=lfs diff=lfs merge=lfs -text
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+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
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+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
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.gitignore

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+__pycache__
+.DS_Store
+.mypy_cache

README.md

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+---
+title: ElevenLabs TTS
+emoji: 🗣️
+colorFrom: yellow
+colorTo: pink
+sdk: gradio
+sdk_version: 3.40.1
+app_file: app.py
+pinned: false
+duplicated_from: elevenlabs/tts
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import random 
+import gradio as gr 
+import numpy as np 
+from elevenlabs import voices, generate, set_api_key, UnauthenticatedRateLimitError
+
+def pad_buffer(audio):
+    # Pad buffer to multiple of 2 bytes
+    buffer_size = len(audio)
+    element_size = np.dtype(np.int16).itemsize
+    if buffer_size % element_size != 0:
+        audio = audio + b'\0' * (element_size - (buffer_size % element_size))
+    return audio 
+
+def generate_voice(text, voice_name):
+    try:
+        audio = generate(
+            text[:250], # Limit to 250 characters
+            voice=voice_name, 
+            model="eleven_multilingual_v2"
+        )
+        return (44100, np.frombuffer(pad_buffer(audio), dtype=np.int16))
+    except UnauthenticatedRateLimitError as e:
+        raise gr.Error("Thanks for trying out ElevenLabs TTS! You've reached the free tier limit. Please provide an API key to continue.") 
+    except Exception as e:
+        raise gr.Error(e)
+    
+
+badges = """
+<div style="display: flex">
+<span style="margin-right: 5px"> 
+
+[ ![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white) ](https://github.com/elevenlabs/elevenlabs-python)
+ 
+</span>
+<span style="margin-right: 5px"> 
+
+[ ![Twitter](https://img.shields.io/badge/Twitter-%231DA1F2.svg?style=for-the-badge&logo=Twitter&logoColor=white) ](https://twitter.com/elevenlabsio)
+ 
+</span>
+<span>
+
+[ ![](https://dcbadge.vercel.app/api/server/elevenlabs) ](https://discord.gg/elevenlabs)
+
+</span>
+</div>
+"""
+
+description = """
+A demo of the world's most advanced TTS systems, made by [ElevenLabs](https://elevenlabs.io). Eleven Multilingual V2 is a single foundational model supporting 28 languages including: English, Chinese, Spanish, Hindi, Portuguese, French, German, Japanese, Arabic, Korean, Indonesian, Italian, Dutch, Turkish, Polish, Swedish, Filipino, Malay, Romanian, Ukrainian, Greek, Czech, Danish, Finnish, Bulgarian, Croatian, Slovak, and Tamil. Sign up on [ElevenLabs](https://elevenlabs.io) to get fast access, long-form generation, voice cloning, API keys, and more!
+"""
+
+with gr.Blocks() as block:
+    gr.Markdown('[ ![ElevenLabs](https://user-images.githubusercontent.com/12028621/262629275-4f85c9cf-85b6-435e-ab50-5b8c7c4e9dd2.png) ](https://elevenlabs.io)')
+    gr.Markdown(badges)
+    gr.Markdown(description)
+    
+    input_text = gr.Textbox(
+        label="Input Text (250 characters max)", 
+        lines=2, 
+        value="Hello! 你好! Hola! नमस्ते! Bonjour! こんにちは! مرحبا! 안녕하세요! Ciao! Cześć! Привіт! Γειά σας! Здравей! வணக்கம்!",
+        elem_id="input_text"
+    )
+
+    all_voices = voices() 
+    input_voice = gr.Dropdown(
+        [ voice.name for voice in all_voices ], 
+        value="Bella",
+        label="Voice", 
+        elem_id="input_voice"
+    )
+
+    run_button = gr.Button(
+        text="Generate Voice", 
+        type="button"
+    )
+
+    out_audio = gr.Audio(
+        label="Generated Voice",
+        type="numpy", 
+        elem_id="out_audio",
+        format="mp3"
+    )
+        
+    inputs = [input_text, input_voice]
+    outputs = [out_audio]
+    
+    run_button.click(
+        fn=generate_voice, 
+        inputs=inputs, 
+        outputs=outputs, 
+        queue=True
+    )
+
+block.queue(concurrency_count=5).launch(debug=True)

requirements.txt

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+elevenlabs==0.2.15