Update app.py

app.py

@@ -1,29 +1,26 @@
 import gradio as gr
 from transformers import pipeline
 
-# Create a text-generation pipeline using GPT-2
+# Create a text-generation pipeline using GPT-2 with modified parameters
 generator = pipeline('text-generation', model='gpt2')
 
 def generate_text(prompt):
-    # Adjust temperature to make output more focused
+    # Use a lower temperature and limit the max_length for concise output
     generated = generator(
         prompt,
-        max_length=50,
-        num_return_sequences=1,
-        temperature=0.2,  # Lower temperature for less randomness
-        top_k=50,         # Optional: limit the number of choices
-        top_p=0.95        # Optional: nucleus sampling
+        max_length=30,       # Limit the maximum length of the output
+        do_sample=False,     # Disable sampling for deterministic output
+        temperature=0.2      # Lower temperature to reduce randomness
     )
     return generated[0]['generated_text']
 
-
-# Create a Gradio interface with one text input and one text output
+# Create a Gradio interface
 iface = gr.Interface(
     fn=generate_text,
     inputs="text",
     outputs="text",
     title="Simple LLM with Hugging Face & Gradio",
-    description="Enter a prompt and get text generated by a basic GPT-2 model."
+    description="Enter a prompt and get a concise text generated by GPT-2."
 )
 
 # Launch the interface