Update app.py
Browse files
app.py
CHANGED
@@ -1,8 +1,10 @@
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import streamlit as st
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from transformers import T5Tokenizer, T5ForConditionalGeneration
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import torch
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# Custom CSS styling
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st.markdown("""
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<style>
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.main {
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@@ -78,9 +80,15 @@ st.markdown("""
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# Load model and tokenizer
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model_path = "./saved_model"
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tokenizer_path = "./saved_tokenizer"
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try:
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model = T5ForConditionalGeneration.from_pretrained(model_path, local_files_only=True, ignore_mismatched_sizes=True)
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device = torch.device("cpu")
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model.to(device)
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@@ -105,34 +113,55 @@ def generate_summary(text):
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st.error(f"Error generating summary: {e}")
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return None
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st.error("β Failed to generate summary. Please check your input.")
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elif not model_loaded:
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st.error("β Failed to load model. Please check the application logs.")
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else:
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st.warning("β οΈ Please enter text to summarize.")
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st.markdown("""
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<div class="footer">
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Smart Text Summarizer
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</div>
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""", unsafe_allow_html=True)
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import streamlit as st
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from transformers import T5Tokenizer, T5ForConditionalGeneration
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import torch
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import os
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import json
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# Custom CSS styling
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st.markdown("""
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<style>
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.main {
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# Load model and tokenizer
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model_path = "./saved_model"
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tokenizer_path = "./saved_tokenizer"
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summary_file = "summaries.json"
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try:
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if not os.path.exists(tokenizer_path):
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tokenizer = T5Tokenizer.from_pretrained("t5-small")
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tokenizer.save_pretrained(tokenizer_path)
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else:
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tokenizer = T5Tokenizer.from_pretrained(tokenizer_path, local_files_only=True)
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model = T5ForConditionalGeneration.from_pretrained(model_path, local_files_only=True, ignore_mismatched_sizes=True)
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device = torch.device("cpu")
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model.to(device)
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st.error(f"Error generating summary: {e}")
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return None
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def load_summaries():
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if os.path.exists(summary_file):
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with open(summary_file, "r", encoding="utf-8") as f:
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return json.load(f)
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return []
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def save_summary(original, summary):
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summaries = load_summaries()
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summaries.append({"text": original, "summary": summary})
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with open(summary_file, "w", encoding="utf-8") as f:
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json.dump(summaries, f, indent=4, ensure_ascii=False)
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# Sidebar Navigation
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page = st.sidebar.selectbox("Choose Page", ["Generate Summary", "Saved Summaries"])
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if page == "Generate Summary":
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st.title("π§ Smart Text Summarizer")
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text = st.text_area("Enter the text you want to summarize...", height=200)
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col1, col2, col3 = st.columns([1, 2, 1])
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with col2:
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if st.button("π Generate Summary"):
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if text and model_loaded:
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with st.spinner("Generating summary..."):
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summary = generate_summary(text)
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if summary:
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st.markdown('<div class="summary-container"><div class="summary-title">π Summary</div>' +
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summary + '</div>', unsafe_allow_html=True)
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save_summary(text, summary)
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else:
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st.error("β Failed to generate summary. Please check your input.")
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elif not model_loaded:
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st.error("β Failed to load model. Please check the application logs.")
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else:
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st.warning("β οΈ Please enter text to summarize.")
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elif page == "Saved Summaries":
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st.title("π Saved Summaries")
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summaries = load_summaries()
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if summaries:
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for i, item in enumerate(summaries[::-1], 1):
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st.markdown(f"<div class='summary-container'><div class='summary-title'>π Summary #{i}</div>"
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f"<strong>Original:</strong> {item['text']}<br><br>"
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f"<strong>Summary:</strong> {item['summary']}</div>", unsafe_allow_html=True)
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else:
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st.info("No saved summaries yet. Generate some first!")
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st.markdown("""
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<div class="footer">
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Smart Text Summarizer - Crafted with hadheedo
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</div>
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""", unsafe_allow_html=True)
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