Update app.py

app.py

@@ -2,6 +2,12 @@ import gradio as gr
 from transformers import pipeline
 model = pipeline("text-generation", model="DmitryYarov/aristotle_based_on_rugpt3large_based_on_gpt")
 def predict(prompt):
+     generation_parameters = {
+        "max_length": 500,  # Increase the length of the generated text
+        "temperature": 0.9,  # Adjust temperature for more creative outputs
+        "top_p": 0.95,  # Use nucleus sampling for diversity
+        "num_return_sequences": 1  # Generate one response
+    }
     completion = model(prompt)[0]["generated_text"]
     return completion