switch to using hf model

app.py

@@ -14,8 +14,8 @@ sentence_detector = nltk.data.load('tokenizers/punkt/english.pickle')
 tokenizer = GPT2Tokenizer.from_pretrained("gpt2-medium")
 tokenizer.truncation_side = 'right'
 
-model = GPT2LMHeadModel.from_pretrained('checkpoint-10000')
-# model = GPT2LMHeadModel.from_pretrained('coffeeee/nsfw-story-generator')
+# model = GPT2LMHeadModel.from_pretrained('checkpoint-10000')
+model = GPT2LMHeadModel.from_pretrained('coffeeee/nsfw-story-generator')
 generation_config = GenerationConfig.from_pretrained('gpt2-medium')
 generation_config.max_new_tokens = response_length
 generation_config.pad_token_id = generation_config.eos_token_id