Upload app.py

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app.py

@@ -150,6 +150,7 @@ with gr.Blocks(css=custom_css) as app:
         <br>
         <p style="font-size:16px">
             This benchmark represents a foundational step by <a href="https://silma.ai">SILMA.AI</a> towards establishing a high-quality benchmark for open-source Arabic TTS models. We have found that standard quantitative metrics (such as WER, CER, SIM, and UTMOS) are often insufficient for accurately capturing the nuances of Arabic speech. Consequently, for this release we have prioritized direct auditory assessment, allowing listeners to evaluate the naturalness and quality of the models themselves. More advanced releases will follow as we develop the necessary technology.
+            You can also check our <a href="https://huggingface.co/spaces/silma-ai/arabic-tts-benchmark" target="blank">Commercial Arabic TTS Benchmark</a>
         </p>
         <p>
             Note: To make the benchmark more manageable, we have excluded models that require Tashkeel, as well as those based on old architectures