Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as grad
+from transformers import AutoModelForSeq2SeqLM.from_pretrained, AutoTokenizer
+
+model_name = "Helsini-NLP/opus-mt-en-de"
+
+model = AutoModelForSeq2SeqLM(model_name)
+model_tkn = AutoTokenizer(model_name)
+
+#opus_translation = pipeline("translation", model=model_name)
+
+def translate(text):
+    inputs = model_tkn(text, return_tensors="pt")
+    trans_ouput = model.generate(**inputs) #"generate": This method includes the logic for autoregressive generation
+    response = model_tkn.decode(trans_output[0], skip_special_tokens=True)
+    #response = opus_translator(text)
+    return response
+grad.Interface(translate, inputs="text", output="text").launch()