Update app.py

Specify temperature parameter

app.py

@@ -180,7 +180,14 @@ def generate(starting_text):
     # choose, it picks the one that has the highest probability.
 
     # The do_sample parameter select the next word at random from the probability distribution.
-    gpt2_tensors = mdl.generate(tkn_ids, max_length=100, no_repeat_ngram_size=True, num_beams=3, do_sample=True)
+
+    # The temperature parameter controls the level of greed that the generative model exhibits.
+    # If the temperature is low, the probabilities of sample classes other than the one with the highest log probability will be low. 
+    # As a result, the model will probably output the text that is most correct, but it will be rather monotonous and contain only a small amount of variation.
+    # If the temperature is high, the model has a greater chance of outputting different words than those with the highest probability. 
+    # The generated text will feature a greater variety of topics, but there is also an increased likelihood that it will generate nonsense text and 
+    # contain grammatical errors.
+    gpt2_tensors = mdl.generate(tkn_ids, max_length=100, no_repeat_ngram_size=True, num_beams=3, do_sample=True, temperature=1.5)
     response=""
     #response = gpt2_tensors
     for i, x in enumerate(gpt2_tensors):