Delete requirements.xtx

requirements.xtx

@@ -1,44 +0,0 @@
-import streamlit as st
-
-#for reproducability
-SEED = 12
-
-#maximum number of words in output text
-# MAX_LEN = 30
-
-title = st.text_input('Enter the seed words', ' ')
-input_sequence = title
-
-number = st.number_input('Insert how many words', 1)
-MAX_LEN = number
-
-if st.button('Submit'):
-
-    #get transformers
-    from transformers import TFGPT2LMHeadModel, GPT2Tokenizer
-
-    tokenizer = GPT2Tokenizer.from_pretrained("gpt2-medium")
-    GPT2 = TFGPT2LMHeadModel.from_pretrained("gpt2-medium", pad_token_id=tokenizer.eos_token_id)
-
-    import tensorflow as tf
-    tf.random.set_seed(SEED)
-    input_ids = tokenizer.encode(input_sequence, return_tensors='tf')
-
-    #sample only from 80% most likely words
-    sample_output = GPT2.generate(
-                                input_ids, 
-                                do_sample = True, 
-                                max_length = MAX_LEN, 
-                                top_p = 0.8, 
-                                top_k = 0
-    )
-
-    st.write(tokenizer.decode(sample_output[0], skip_special_tokens = True))
-
-else:
-    st.write(' ')
-
-
-
-# print("Output:\n" + 100 * '-')
-# print(tokenizer.decode(sample_output[0], skip_special_tokens = True), '...')