Update app.py

app.py

@@ -12,6 +12,11 @@ print(model_names)
 tts = TTS(m, gpu=False)
 tts.to("cpu") # no GPU or Amd
 #tts.to("cuda") # cuda only
+br_ = """
+<script>
+document.writeln("aaaa");
+</script>
+"""
 
 def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree):
     if agree == True:
@@ -77,7 +82,7 @@ def predict(prompt, language, audio_file_pth, mic_file_path, use_mic, agree):
 
 title = "XTTS Glz's remake (Fonctional Text-2-Speech)"
 
-description = """
+description = f"""
 <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. 
@@ -85,7 +90,7 @@ XTTS is built on previous research, like Tortoise, with additional architectural
 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/>
+<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">