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Update app.py
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app.py
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import streamlit as st
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from transformers import GPT2LMHeadModel, GPT2Tokenizer
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# Load the GPT-2 model and tokenizer
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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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st.title("Article Generator")
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# Input for the article title
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title = st.text_input("Enter the title of the article")
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# Generate the article
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if st.button("Generate Article"):
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if title:
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else:
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st.warning("Please enter a title to generate an article")
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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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# Load the GPT-2 model and tokenizer
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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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st.title("AI Article Generator")
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# Input for the article title
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title = st.text_input("Enter the title of the article")
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# Parameters for text generation
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max_length = st.slider("Maximum length of the article", min_value=50, max_value=1000, value=500, step=50)
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temperature = st.slider("Temperature (creativity level)", min_value=0.7, max_value=1.5, value=1.0, step=0.1)
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# Generate the article
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if st.button("Generate Article"):
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if title:
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with st.spinner("Generating article..."):
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try:
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input_ids = tokenizer.encode(title, return_tensors='pt')
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output = model.generate(
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input_ids,
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max_length=max_length,
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temperature=temperature,
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num_return_sequences=1,
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no_repeat_ngram_size=2,
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early_stopping=True
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)
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article = tokenizer.decode(output[0], skip_special_tokens=True)
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st.success("Article generated successfully!")
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st.write(article)
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except Exception as e:
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st.error(f"An error occurred: {e}")
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else:
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st.warning("Please enter a title to generate an article")
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st.markdown("""
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<style>
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.reportview-container {
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flex-direction: column;
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align-items: center;
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}
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.css-1kyxreq {
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width: 100%;
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max-width: 700px;
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margin: auto;
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}
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</style>
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""", unsafe_allow_html=True)
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