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Update app.py
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app.py
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@@ -21,31 +21,13 @@ models = {
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"Pegasus": "google/pegasus-xsum"
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}
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# Example texts
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example_texts = {
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"Example 1": "Artificial intelligence is transforming industries by enhancing productivity and efficiency.",
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"Example 2": "Machine learning algorithms are becoming more sophisticated, allowing for better data analysis.",
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"Example 3": "Natural language processing enables machines to understand and respond to human language.",
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}
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# Function to count words in the input text
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def count_words(text):
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return len(text.split())
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# Function to copy text to clipboard
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def copy_to_clipboard(text):
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st.session_state.copied_text = text # Store copied text in session state
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st.success("Example copied to clipboard!") # Display message
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# Streamlit app layout
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st.title("Summarization with Multiple Models")
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# Example buttons for text selection
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st.subheader("Example Texts")
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for label, example in example_texts.items():
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if st.button(label):
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copy_to_clipboard(example) # Copy the example text to clipboard
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# Dropdown to select the model (bolded)
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st.markdown("### **Select a model for summarization**")
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model_choice = st.selectbox("", models.keys())
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"Pegasus": "google/pegasus-xsum"
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}
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# Function to count words in the input text
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def count_words(text):
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return len(text.split())
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# Streamlit app layout
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st.title("Summarization with Multiple Models")
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# Dropdown to select the model (bolded)
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st.markdown("### **Select a model for summarization**")
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model_choice = st.selectbox("", models.keys())
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