Create app.py

app.py

@@ -0,0 +1,14 @@
+import gardio as gr
+
+from transformers import pipeline
+
+def predict(text, name):
+    pipe = pipeline("text2text-generation", model="flax-community/t5-recipe-generation")
+    return pipe(text)[0]["translation_text"]
+
+demo = gr.Interface(
+    fn=predict
+    inputs('text','text'),
+    outputs='text' ,
+)
+demo.launch()