Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer = AutoTokenizer.from_pretrained("facebook/bart-base")
+infer = AutoModelForSeq2SeqLM.from_pretrained("Qilex/bart-largeEN-ME")
+
+def translate(sentence):
+    input_ids = tokenizer(sentence, return_tensors="pt").input_ids
+    outputs = infer.generate(input_ids, max_new_tokens = len(sample.split(' '))*10)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+title = "English to Middle English Translator"
+description = """
+This translator is trained on about 80,000 English/Middle English paired sentences. 
+<br>
+It's still a work in progress.
+"""
+article = ''''''
+gr.Interface(
+    fn=translate,
+    inputs=gr.Textbox(lines=1, placeholder="Enter text to translate."),
+    outputs="text",
+    title=title,
+    description=description,
+    article = article,
+).launch()