Create app.py

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+
+# Load English → Irish
+tokenizer_en_ga = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-ga")
+model_en_ga = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-en-ga")
+
+# Load Irish → English
+tokenizer_ga_en = AutoTokenizer.from_pretrained("Helsinki-NLP/opus-mt-ga-en")
+model_ga_en = AutoModelForSeq2SeqLM.from_pretrained("Helsinki-NLP/opus-mt-ga-en")
+
+def translate(text, direction):
+    if direction == "English → Irish":
+        inputs = tokenizer_en_ga(text, return_tensors="pt")
+        outputs = model_en_ga.generate(**inputs)
+        return tokenizer_en_ga.decode(outputs[0], skip_special_tokens=True)
+    else:
+        inputs = tokenizer_ga_en(text, return_tensors="pt")
+        outputs = model_ga_en.generate(**inputs)
+        return tokenizer_ga_en.decode(outputs[0], skip_special_tokens=True)
+
+interface = gr.Interface(
+    fn=translate,
+    inputs=[
+        gr.Textbox(label="Enter text"),
+        gr.Radio(["English → Irish", "Irish → English"], label="Select direction")
+    ],
+    outputs="text",
+    title="🇮🇪 GaelLingo",
+    description="AI-powered English ↔ Irish Translator"
+)
+
+interface.launch()