orca mini

app.py

@@ -1,11 +1,11 @@
 import gradio as gr
 # Use a pipeline as a high-level helper
-from transformers import pipeline
-
-pipe = pipeline("text-generation", model="gpt2", trust_remote_code=True)
+from transformers import pipeline, set_seed
 
+pipe = pipeline("text-generation", model="psmathur/orca_mini_3b", trust_remote_code=True)
+set_seed(42)
 def greet(name):
-    return pipe('who is the president of USA')
+    return pipe(name)[0]['generated_text']
 
 # greet('df')
 iface = gr.Interface(fn=greet, inputs="text", outputs="text")