Update app.py

app.py

@@ -1,27 +1,26 @@
 import gradio as gr
 from transformers import pipeline
 
-# Create a text-generation pipeline using GPT-2 with modified parameters
+# Create a text-generation pipeline using GPT-2
 generator = pipeline('text-generation', model='gpt2')
 
 def generate_text(prompt):
-    # Use a lower temperature and limit the max_length for concise output
     generated = generator(
         prompt,
-        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
+        max_length=30,           # Limit the output length
+        do_sample=True,          # Enable sampling for more natural responses
+        temperature=0.3,         # Lower temperature for less randomness
+        repetition_penalty=1.5,  # Penalize repeated tokens
+        no_repeat_ngram_size=2   # Avoid repeating any 2-word sequences
     )
     return generated[0]['generated_text']
 
-# 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 a concise text generated by GPT-2."
+    description="Enter a prompt and get a concise, factual answer."
 )
 
-# Launch the interface
 iface.launch()