Create app.py

app.py

@@ -0,0 +1,16 @@
+from transformers import AutoModelForSeq2SeqLM,AutoTokenizer
+import gradio as grad
+mdl_name = "Helsinki-NLP/opus-mt-tc-big-ar-en"
+mdl = AutoModelForSeq2SeqLM.from_pretrained(mdl_name)
+my_tkn = AutoTokenizer.from_pretrained(mdl_name)
+
+#opus_translator = pipeline("translation", model=mdl_name)
+
+def translate(text):
+    inputs = my_tkn(text, return_tensors="pt")
+    trans_output = mdl.generate(**inputs)
+    response = my_tkn.decode(trans_output[0], skip_special_tokens=True)
+
+    #response = opus_translator(text)
+    return response
+grad.Interface(translate, inputs=["text",], outputs="text").launch()