Create app.py

app.py

@@ -0,0 +1,34 @@
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+import gradio as gr
+
+# Correct model name for English to Amharic
+model_name = "Helsinki-NLP/opus-mt-en-cus"  # Cus = Cushitic languages (includes Amharic)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+def translate(text):
+    if not text.strip():
+        return "⚠️ Please enter some text."
+
+    try:
+        inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+        outputs = model.generate(**inputs)
+        return tokenizer.decode(outputs[0], skip_special_tokens=True)
+    except Exception as e:
+        return f"⚠️ Translation error: {str(e)}"
+
+demo = gr.Interface(
+    fn=translate,
+    inputs=gr.Textbox(lines=3, label="Enter English Text"),
+    outputs=gr.Textbox(label="Amharic Translation"),
+    title="🌍 English to Amharic Translator",
+    description="✔ Powered by Helsinki-NLP model.",
+    examples=[
+        ["Good morning"],
+        ["Thank you very much"],
+        ["How much does this cost?"]
+    ]
+)
+
+if __name__ == "__main__":
+    demo.launch()