Update app.py

app.py

@@ -0,0 +1,36 @@
+import streamlit as st
+from transformers import MarianMTModel, MarianTokenizer
+
+st.set_page_config(page_title="English ↔ Urdu Translator", layout="centered")
+
+st.title("📘 English ↔ اردو Translator")
+
+# Language options
+direction = st.selectbox("Select Translation Direction", ["English to Urdu", "Urdu to English"])
+
+# Input text
+text = st.text_area("Enter Text")
+
+# Load models and tokenizers only once using caching
+@st.cache_resource
+def load_model_and_tokenizer(src_lang):
+    if src_lang == "en":
+        model_name = "Helsinki-NLP/opus-mt-en-ur"
+    else:
+        model_name = "Helsinki-NLP/opus-mt-ur-en"
+    tokenizer = MarianTokenizer.from_pretrained(model_name)
+    model = MarianMTModel.from_pretrained(model_name)
+    return tokenizer, model
+
+# Translate
+if st.button("Translate"):
+    if not text.strip():
+        st.warning("Please enter some text.")
+    else:
+        src_lang = "en" if direction == "English to Urdu" else "ur"
+        tokenizer, model = load_model_and_tokenizer(src_lang)
+        inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
+        translated = model.generate(**inputs)
+        result = tokenizer.decode(translated[0], skip_special_tokens=True)
+        st.success("Translation:")
+        st.write(result)