Update app.py

app.py

@@ -1,14 +1,15 @@
-import gardio as gr
-
+import gradio 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"]
+    output = pipe(text)[0]
+    print("Pipeline output:", output)  # Print the complete output dictionary
+    return output["translation_text"]
 
 demo = gr.Interface(
     fn=predict,
-    inputs('text','text'),
-    outputs='text' ,
+    inputs=('text', 'text'),
+    outputs='text',
 )
 demo.launch()