Create app.py

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
+
+tokenizer = AutoTokenizer.from_pretrained("csebuetnlp/banglat5_nmt_bn_en", use_fast=False)
+model = AutoModelForSeq2SeqLM.from_pretrained("csebuetnlp/banglat5_nmt_bn_en")
+
+pipe = pipeline("translation", model=model, tokenizer=tokenizer)
+
+def translate(text):
+    translation = pipe(text)[0]['translation_text']
+    return translation
+interface = gr.Interface(
+    fn=translate,
+    inputs=gr.Textbox(label="Translated Text in English"),  # Updated here
+    title="Bangla to English Translator",
+    description="Translate Bangla text into English using a Hugging Face model."
+)
+if __name__ == "__main__":
+    interface.launch()