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Update app.py
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app.py
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@@ -2,8 +2,8 @@ import streamlit as st
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# Load the model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained("
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model = AutoModelForCausalLM.from_pretrained("
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# Streamlit UI styling
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st.set_page_config(page_title="Email Generator", layout="centered")
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@@ -35,13 +35,7 @@ st.markdown("""
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.button:hover {
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background-color: #4B0082;
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}
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background-color: #f4f4f4;
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padding: 15px;
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border-radius: 10px;
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border: 1px solid #ddd;
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font-family: 'Courier New', Courier, monospace;
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}
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</style>
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""", unsafe_allow_html=True)
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@@ -68,6 +62,6 @@ if generate_button:
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# Display the generated email with some styling
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st.markdown('<div class="header">Generated Email:</div>', unsafe_allow_html=True)
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st.markdown(f'<div
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else:
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st.error("Please enter a prompt to generate the email.")
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# Load the model and tokenizer
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tokenizer = AutoTokenizer.from_pretrained("postbot/gpt2-medium-emailgen")
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model = AutoModelForCausalLM.from_pretrained("postbot/gpt2-medium-emailgen")
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# Streamlit UI styling
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st.set_page_config(page_title="Email Generator", layout="centered")
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.button:hover {
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background-color: #4B0082;
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}
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+
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</style>
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""", unsafe_allow_html=True)
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# Display the generated email with some styling
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st.markdown('<div class="header">Generated Email:</div>', unsafe_allow_html=True)
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st.markdown(f'<div>{generated_email}</div>', unsafe_allow_html=True)
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else:
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st.error("Please enter a prompt to generate the email.")
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