Update app.py
Browse files
app.py
CHANGED
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@@ -155,6 +155,7 @@ with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
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with gr.Row():
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submit_button = gr.Button("Submit")
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clear_button = gr.Button("Clear")
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with gr.Row():
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highlighted_user_prompt = gr.HTML()
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@@ -187,7 +188,7 @@ with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
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tree2 = gr.Plot()
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tree2_tabs.append(tree2)
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with gr.Row():
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gr.Markdown("### Re-paraphrased Sentences") # Label for re-paraphrased sentences
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@@ -205,9 +206,28 @@ with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
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with gr.Row():
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three_D_plot = gr.Plot()
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clear_button.click(lambda: "", inputs=None, outputs=user_input)
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clear_button.click(lambda: "", inputs=None, outputs=[highlighted_user_prompt, highlighted_accepted_sentences, highlighted_discarded_sentences] + tree1_tabs + tree2_tabs + reparaphrased_sentences_tabs + [three_D_plot])
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demo.launch(share=True)
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with gr.Row():
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submit_button = gr.Button("Submit")
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clear_button = gr.Button("Clear")
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generate_non_melting_point_button = gr.Button("Generate Non-Melting Point") # New button
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with gr.Row():
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highlighted_user_prompt = gr.HTML()
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tree2 = gr.Plot()
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tree2_tabs.append(tree2)
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# Adding the "Re-paraphrased Sentences" section
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with gr.Row():
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gr.Markdown("### Re-paraphrased Sentences") # Label for re-paraphrased sentences
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with gr.Row():
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three_D_plot = gr.Plot()
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# Logic for the new button
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def generate_non_melting_points_only(prompt):
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user_prompt = prompt
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paraphrased_sentences = generate_paraphrase(user_prompt)
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analyzed_paraphrased_sentences, selected_sentences, discarded_sentences = analyze_entailment(user_prompt, paraphrased_sentences, 0.7)
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common_grams = find_common_subsequences(user_prompt, selected_sentences)
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highlighted_user_prompt = highlight_common_words(common_grams, [user_prompt], "Non-melting Points in the User Prompt")
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return highlighted_user_prompt
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# Connect buttons to functions
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submit_button.click(
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model,
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inputs=user_input,
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outputs=[highlighted_user_prompt, highlighted_accepted_sentences, highlighted_discarded_sentences] + tree1_tabs + tree2_tabs + reparaphrased_sentences_tabs + [three_D_plot]
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)
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generate_non_melting_point_button.click(
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generate_non_melting_points_only,
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inputs=user_input,
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outputs=highlighted_user_prompt
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)
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clear_button.click(lambda: "", inputs=None, outputs=user_input)
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clear_button.click(lambda: "", inputs=None, outputs=[highlighted_user_prompt, highlighted_accepted_sentences, highlighted_discarded_sentences] + tree1_tabs + tree2_tabs + reparaphrased_sentences_tabs + [three_D_plot])
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demo.launch(share=True)
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