Update app.py

app.py

@@ -30,8 +30,9 @@ def generate_fakypedia(article_title: str):
     with torch.no_grad():
         result = ""
         string_to_tokenize= f"{bos_token}\\%{article_title}"
-        input_ids = tokenizer( string_to_tokenize, return_tensors="pt").input_ids.to(device)        
-        sample_outputs = model.generate(input_ids, do_sample=True,repetition_penalty=1.2, temperature=0.5, max_length=192, num_return_sequences=3)        
+        input_ids = tokenizer( string_to_tokenize, return_tensors="pt").input_ids.to(device)
+        sample_outputs = model.generate(input_ids, do_sample=True,repetition_penalty=1.05, top_k = 40, top_p = 0.950, temperature=0.80, max_length=192, num_return_sequences=3)
+        #sample_outputs = model.generate(input_ids, do_sample=True,repetition_penalty=1.2, temperature=0.5, max_length=192, num_return_sequences=3)        
         if article_title == None or len(article_title) == 0:
             result += f"# Fakypedia results with random titles  \n"
             article_title = ""