Update app.py

app.py

@@ -7,7 +7,12 @@ generator = pipeline("text-generation", model="arun86/EmpathAI")
 
 # Define the function
 def generate_text(prompt):
-    return generator(prompt, max_length=100)[0]["generated_text"]
+    return generator(prompt,
+    max_length=500,  # Adjust according to your needs
+    num_return_sequences=1,
+    temperature=0.7,
+    top_k=50,
+    top_p=0.95)[0]["generated_text"]
 
 # Create the Gradio interface
 interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")