Created app.py

app.py

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+from transformers import MarianMTModel, MarianTokenizer
+import gradio as gr
+
+# Load model and tokenizer
+model_name = "Helsinki-NLP/opus-mt-en-fa"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+
+# Translation function
+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
+interface = gr.Interface(
+    fn=translate,
+    inputs=gr.Textbox(lines=5, placeholder="Enter English text here..."),
+    outputs=gr.Textbox(label="Translated to Persian"),
+    title="English to Persian Translator",
+    description="Type text in English and get the Persian translation."
+)
+interface.launch()