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Rzhishchev
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4fdd156
1
Parent(s):
2d0c2ed
Create app.py
Browse files
app.py
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import streamlit as st
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from transformers import GPT2LMHeadModel, GPT2Tokenizer
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import torch
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DEVICE = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
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model_path = "/zhvanetsky_model_1"
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tokenizer = GPT2Tokenizer.from_pretrained(model_path)
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model = GPT2LMHeadModel.from_pretrained(model_path).to(DEVICE)
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def generate_text(input_text):
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model.eval()
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input_ids = tokenizer.encode(input_text, return_tensors="pt").to(DEVICE)
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with torch.no_grad():
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out = model.generate(input_ids,
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do_sample=True,
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num_beams=10,
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temperature=2.2,
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top_p=0.85,
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top_k=500,
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max_length=100,
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no_repeat_ngram_size=3,
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num_return_sequences=3,
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)
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return tokenizer.decode(out[0], skip_special_tokens=True)
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st.title("GPT-2 Text Generator")
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user_input = st.text_area("Input Text", "Введите ваш текст")
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if st.button("Generate"):
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generated_output = generate_text(user_input)
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st.text_area("Generated Text", generated_output)
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