Create app.py

app.py

@@ -0,0 +1,52 @@
+# STEP 1: Install required libraries
+!pip install transformers sentencepiece gradio -q
+
+# STEP 2: Import libraries
+from transformers import MarianMTModel, MarianTokenizer
+import gradio as gr
+
+# STEP 3: Load models and tokenizers for both directions
+en_to_ur_model_name = "Helsinki-NLP/opus-mt-en-ur"
+ur_to_en_model_name = "Helsinki-NLP/opus-mt-ur-en"
+
+en_to_ur_tokenizer = MarianTokenizer.from_pretrained(en_to_ur_model_name)
+en_to_ur_model = MarianMTModel.from_pretrained(en_to_ur_model_name)
+
+ur_to_en_tokenizer = MarianTokenizer.from_pretrained(ur_to_en_model_name)
+ur_to_en_model = MarianMTModel.from_pretrained(ur_to_en_model_name)
+
+# STEP 4: Translation functions
+def translate_en_to_ur(text):
+    if not text.strip():
+        return "Please enter some English text."
+    inputs = en_to_ur_tokenizer(text, return_tensors="pt", padding=True)
+    translated = en_to_ur_model.generate(**inputs)
+    urdu_text = en_to_ur_tokenizer.decode(translated[0], skip_special_tokens=True)
+    return urdu_text
+
+def translate_ur_to_en(text):
+    if not text.strip():
+        return "براہ کرم کچھ اردو متن درج کریں۔"
+    inputs = ur_to_en_tokenizer(text, return_tensors="pt", padding=True)
+    translated = ur_to_en_model.generate(**inputs)
+    english_text = ur_to_en_tokenizer.decode(translated[0], skip_special_tokens=True)
+    return english_text
+
+# STEP 5: Gradio UI
+with gr.Blocks() as demo:
+    gr.Markdown("## English ↔ Urdu Translator")
+
+    with gr.Tab("English to Urdu"):
+        en_input = gr.Textbox(label="Enter English Text")
+        en_output = gr.Textbox(label="Urdu Translation")
+        en_button = gr.Button("Translate")
+        en_button.click(fn=translate_en_to_ur, inputs=en_input, outputs=en_output)
+
+    with gr.Tab("Urdu to English"):
+        ur_input = gr.Textbox(label="اردو متن درج کریں")
+        ur_output = gr.Textbox(label="English Translation")
+        ur_button = gr.Button("Translate")
+        ur_button.click(fn=translate_ur_to_en, inputs=ur_input, outputs=ur_output)
+
+# STEP 6: Launch
+demo.launch()