Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# --- Model Loading (Replace with your desired model) ---
+# EXAMPLE: French to English.  Choose a model appropriate for your languages!
+model_name = "Helsinki-NLP/opus-mt-fr-en"
+model_name = "Helsinki-NLP/opus-mt-de-en"
+
+translator = pipeline("translation", model=model_name)
+
+# --- Translation Function ---
+def translate_text(text_to_translate):
+    try:
+        translated_text = translator(text_to_translate)[0]['translation_text']
+        return translated_text
+    except Exception as e:
+        return f"Translation Error: {e}"  # Basic error handling
+
+# --- Gradio Interface ---
+iface = gr.Interface(
+    fn=translate_text,
+    inputs=gr.Textbox(lines=5, placeholder="Enter text to translate here..."),  # Input textbox
+    outputs=gr.Textbox(lines=5, label="Translated Text"),  # Output textbox
+    title="Old Text Translator",
+    description="Translate text using a Hugging Face model. (MVP)",
+)
+
+# --- Launch the App ---
+iface.launch()