add

app.py

@@ -1,15 +1,15 @@
 import gradio as gr
-   from transformers import pipeline
+from transformers import pipeline
 
-   pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
 
-   def predict(prompt):
-       return pipe(prompt)[0]["generated_text"]
+def predict(prompt):
+    return pipe(prompt)[0]["generated_text"]
 
-   demo = gr.Interface(
-       fn=predict,
-       inputs="text",
-       outputs="text"
-   )
+demo = gr.Interface(
+    fn=predict,
+    inputs="text",
+    outputs="text"
+)
 
-   demo.launch()
+demo.launch()