Create app.py

app.py

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+import gradio as gr
+from transformers import MarianMTModel, MarianTokenizer
+
+# Load the model and tokenizer
+model_name = "Helsinki-NLP/opus-mt-en-hi"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+
+def translate(text):
+    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+    translated = model.generate(**inputs)
+    return tokenizer.decode(translated[0], skip_special_tokens=True)
+
+# Gradio interface
+iface = gr.Interface(
+    fn=translate,
+    inputs=gr.Textbox(label="Enter English Text"),
+    outputs=gr.Textbox(label="Hindi Translation"),
+    title="English to Hindi Translator",
+    description="Enter an English sentence, and the model will translate it into Hindi."
+)
+
+iface.launch()