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Update app.py
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app.py
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import transformers
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from transformers import GPT2LMHeadModel, GPT2Tokenizer
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from transformers import GenerationConfig
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import streamlit as st
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model_name = "gpt2-large"
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model = GPT2LMHeadModel.from_pretrained(model_name)
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tokenizer = GPT2Tokenizer.from_pretrained(model_name)
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title = st.text_area("
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generation_config = GenerationConfig(max_new_tokens=100, do_sample=True, temperature=0.7)
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output_ids = model.generate(input_ids, generation_config=generation_config)[0]
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output_text = tokenizer.decode(output_ids, skip_special_tokens=True)
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st.write(output_text)
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import transformers
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from transformers import GPT2LMHeadModel, GPT2Tokenizer, GenerationConfig
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import streamlit as st
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model_name = "gpt2-large"
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model = GPT2LMHeadModel.from_pretrained(model_name)
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tokenizer = GPT2Tokenizer.from_pretrained(model_name)
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title = st.text_area("Enter a title to generate a blog post:")
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if title:
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input_prompt = f"Blog Title: {title}\n\nBlog Post:\n"
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input_ids = tokenizer.encode(input_prompt, return_tensors='pt')
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generation_config = GenerationConfig(max_new_tokens=100, do_sample=True, temperature=0.7)
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output_ids = model.generate(input_ids, generation_config=generation_config)[0]
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output_text = tokenizer.decode(output_ids, skip_special_tokens=True)
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st.write(output_text)
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