Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+# Initialize the translation pipeline
+pipe = pipeline("translation", model="google-t5/t5-base")
+
+# Define the translation function
+def translate(text):
+    translation = pipe(text)
+    return translation[0]['translation_text']
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=translate,
+    inputs="text",
+    outputs="text",
+    title="Text Translation with T5",
+    description="Enter text to translate it using the Google T5 model.",
+)
+
+# Launch the Gradio app
+if __name__ == "__main__":
+    iface.launch()