Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+tokenizer = AutoTokenizer.from_pretrained("salesken/translation-hi-en")
+model = AutoModelForSeq2SeqLM.from_pretrained("salesken/translation-hi-en")
+
+def greet(name):
+    hin_snippet = name
+    inputs = tokenizer.encode(
+    hin_snippet, return_tensors="pt",padding=True,max_length=512,truncation=True)
+    outputs = model. Generate(inputs, max_length=128, num_beams=None, early_stopping=True)
+    translated = tokenizer. Decode(outputs[0]).replace('<pad>',"").strip().lower()
+    return translated
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()