fixed temperature again

app.py

@@ -9,7 +9,7 @@ st.title('Dumb Language Model')
 text = st.text_input('Enter some text (this will be used to seed the language model)', value='Tell me a story about')
 max_len = st.number_input('Enter a max number of words to generate', min_value=0, max_value=512, value=MAX_LEN)
 temperature = st.number_input('Enter a temperature (the higher it is, the more random the output will be)', 
-                              min_value=0., max_value=100., value=TEMPERATURE)
+                              min_value=1., max_value=100., value=TEMPERATURE)
 
 if st.button('Click to run'):
     vocab = get_vocab()

utils.py

@@ -48,7 +48,7 @@ def clean_text(tokens):
     detokenizer = TreebankWordDetokenizer()
     return detokenizer.detokenize(text).replace("' ", "'")
 
-def generate_text(seed, model, vocab, max_len=20, temperature=0.5, device=device, skip_tokens=['<unk>'], top_k=50):
+def generate_text(seed, model, vocab, max_len=20, temperature=1., device=device, skip_tokens=['<unk>'], top_k=50):
     stoi, itos = vocab.get_stoi(), vocab.get_itos()
     stoi_map = lambda word: stoi[word] if word in stoi.keys() else stoi['<unk>']
     tokenizer = torchtext.data.utils.get_tokenizer('basic_english')