Update app.py

app.py

@@ -6,6 +6,28 @@ from espnet2.bin.tts_inference import Text2Speech
 from arabic_pronounce import phonetise
 import soundfile as sf
 
+
+title = "Tunisian Text To Speech"
+
+description = """ If you need help,  feel free to drop an email here : zaiemsalah@gmail.com 
+Authors : 
+* [Imen Laouirine](https://fr.linkedin.com/in/salah-zaiem)
+* [Rami Kammoun](https://www.linkedin.com/in/aabenz/)
+* [Fethi Bougares](https://www.linkedin.com/in/ata-kaboudi-63365b1a8)
+
+More in-depth details and insights are available in a released preprint. Please find the paper [here](paper_link).
+If you use or refer to this model, please cite : 
+# ```
+# @misc{abdallah2023leveraging,
+#       title={Leveraging Data Collection and Unsupervised Learning for Code-switched Tunisian Arabic Automatic Speech Recognition}, 
+#       author={Ahmed Amine Ben Abdallah and Ata Kabboudi and Amir Kanoun and Salah Zaiem},
+#       year={2023},
+#       eprint={2309.11327},
+#       archivePrefix={arXiv},
+#       primaryClass={eess.AS}
+# }
+"""
+
 examples = [
     ["مَشَاعِرْ قْوِيَّة مَشَاعِرْ قْوِيَّة مَشَاعِرْ قْوِيَّة يْكِنّْلُو مَشَاعِرْ قْوِيَّة يْكِنّْلُو مَشَاعِرْ قْوِيَّة"],
     ["مْطَرْ مَارِسْ ذْهَبْ خَالِصْ"],
@@ -38,6 +60,8 @@ def generate_audio(inputs):
 
 demo = gr.Interface(
     generate_audio,
+    title = title,
+    description = description,
     inputs= gr.Text(label="Input Text"),
     examples = examples,
     outputs ="audio")