Update app.py

app.py

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+# ==============================
+# 🟢 Step 2: Import Required Packages
+# ==============================
+from transformers import MarianMTModel, MarianTokenizer
+import gradio as gr
+
+# ==============================
+# 🟢 Step 3: Load Translation Model
+# ==============================
+model_name = "Helsinki-NLP/opus-mt-en-ur"  # English → Urdu model
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+
+# ==============================
+# 🟢 Step 4: Define Translation Function
+# ==============================
+def translate_to_urdu(text):
+    if not text.strip():
+        return "Please enter some English text."
+    inputs = tokenizer(text, return_tensors="pt", padding=True)
+    translated = model.generate(**inputs, max_length=100)
+    urdu_text = tokenizer.decode(translated[0], skip_special_tokens=True)
+    return urdu_text
+
+# ==============================
+# 🟢 Step 5: Create Gradio Interface
+# ==============================
+interface = gr.Interface(
+    fn=translate_to_urdu,
+    inputs=gr.Textbox(lines=3, placeholder="Enter English text here..."),
+    outputs="text",
+    title="🌍 English to Urdu Translator",
+    description="Translate English sentences into Urdu using a pretrained Hugging Face model."
+)
+
+# ==============================
+# 🟢 Step 6: Launch App
+# ==============================
+interface.launch(share=True)