~ app.py

app.py

@@ -29,22 +29,17 @@
 import gradio as gr
 
 title = "Русско-черкесский переводчик"
-description = """
-              Demo of a Russian-Circassian (Kabardian dialect) translator. 
-
-              The translator is based on a machine learning model that has been trained on 45,000 Russian-Circassian sentence pairs. 
-
-              It is based on Facebook's <a href="https://about.fb.com/news/2020/10/first-multilingual-machine-translation-model/">M2M-100 model</a>, and can also translate from 100 other languages to Circassian (English, French, Spanish, etc.), but less accurately.
-
-              The data corpus is constantly being expanded, and we need help in finding sentence sources, OCR, data cleaning, etc. 
-
-              If you are interested in helping out with this project, please contact me at the link below.
-              """
+description = "Demo of a Russian-Circassian (Kabardian dialect) translator. <br>It is based on Facebook's <a href=\"https://about.fb.com/news/2020/10/first-multilingual-machine-translation-model/\">M2M-100 model</a> machine learning model, and has been trained on 45,000 Russian-Circassian sentence pairs. <br>It can also translate from 100 other languages to Circassian (English, French, Spanish, etc.), but less accurately. <br>The data corpus is constantly being expanded, and we need help in finding sentence sources, OCR, data cleaning, etc. <br>If you are interested in helping out with this project, please contact me at the link below.<br><br>This is only a demo, not a finished product. Translation quality is still low and will improve with time and more data.<br>45,000 sentence pairs is not enough to create an accurate machine translation model, and more data is needed.<br>You can help by finding sentence sources (books, web pages, etc.), scanning books, OCRing documents, data cleaning, and other tasks.<br><br>If you are interested in helping out with this project, contact me at the link below."
 article = """<p style='text-align: center'><a href='https://arxiv.org/abs/1806.00187'>Scaling Neural Machine Translation</a> | <a href='https://github.com/pytorch/fairseq/'>Github Repo</a></p>"""
 
 examples = [
-  ["Hello world!"],
-  ["PyTorch Hub is a pre-trained model repository designed to facilitate research reproducibility."]
+    ["Мы идем домой"],
+    ["Сегодня хорошая погода"],
+    ["Дети играют во дворе"],
+    ["We live in a big house"],
+    ["Tu es une bonne personne."],
+    ["أين تعيش؟"],
+    ["Bir şeyler yapmak istiyorum."],
 ]
 
 gr.Interface.load("models/anzorq/m2m100_418M_ft_ru-kbd_44K", title=title, description=description, article=article, examples=examples).launch()