Create app.py

app.py

@@ -0,0 +1,28 @@
+from transformers import pipeline
+import gradio as gr
+
+# Load built-in models
+en_to_ur = pipeline("translation", model="Helsinki-NLP/opus-mt-en-ur")
+ur_to_en = pipeline("translation", model="Helsinki-NLP/opus-mt-ur-en")
+
+# Define translation function
+def translate(text, direction):
+    if direction == "English to Urdu":
+        return en_to_ur(text)[0]['translation_text']
+    else:
+        return ur_to_en(text)[0]['translation_text']
+
+# Build Gradio UI
+interface = gr.Interface(
+    fn=translate,
+    inputs=[
+        gr.Textbox(lines=5, label="Enter text"),
+        gr.Dropdown(["English to Urdu", "Urdu to English"], label="Direction")
+    ],
+    outputs=gr.Textbox(label="Translated Text"),
+    title="English ↔ Urdu Translator",
+    description="Translate text between English and Urdu using Hugging Face models."
+)
+
+# Launch the app
+interface.launch()