Create app.py

app.py

@@ -0,0 +1,8 @@
+import gradio as gr
+from transformers import pipeline
+model = pipeline("text-generation", model="DmitryYarov/aristotle_based_on_rugpt3large_based_on_gpt")
+def predict(prompt):
+    completion = model(prompt)[0]["generated_text"]
+    return completion
+
+gr.Interface(fn=predict, inputs="text", outputs="text").launch(share=True)