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jutor_write / app.py

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fn=diff_texts,
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gr.Markdown("# Step 7. 段落確認與修訂")
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generate_paragraph_button = gr.Button("閱讀並修訂草稿", variant="primary")
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default_generate_conclusion_sentence_prompt = """
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# Step 7. 段落確認與修訂
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Step 5.寫出完整段落
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gr.Markdown("# Step 5.寫出完整段落")
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def update_topic_sentence_input(topic_sentences_radio, topic_sentence_output):
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def update_topic_sentence_input(topic_sentences_radio, topic_sentence_output):
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Step 2. 確定段落主題
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generate_topics_button.click(
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render dynamic
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, visible=False
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, visible=False
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- Revised Version 1 (for correction): paragraph_ai_modification(split by punctuation mark)
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tempfile
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# Define the path for the audio file in the /mnt/data/ directory
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audio_path = "generated_audio_openai.mp3"
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audio_output = gr.Audio(label="Generated Speech", type="filepath")
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paragraph_refine_input
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fn=paragraph_save_and_tts,
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eng_level
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paragraph_save_button.click(
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- But others(Origin, Suggestion, revised_paragraph_v2) use English, that's very important.
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- But others(Origin, Suggestion, revised_paragraph_v2) in English.
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generate_paragraph_evaluate_button = gr.Button("Save and Evaluate")
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{ "original": "# original_sentence1", "Correction": "#correction_1", "Explanation": "#explanation_1(in_traditional_chinese)" },
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- When explaining, use Traditional Chinese (Taiwan, 繁體中文) for clarity. But others in English.
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, show_copy_button=True
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, copyable=True
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outputs=[
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transformers
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response = OPEN_AI_CLIENT.audio.speech.create(
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audio_output
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paragraph_save_output = gr.Textbox(label="Save and Share")
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- When explaining, use Traditional Chinese (Taiwan, 繁體中文) for clarity.
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paragraph_refine_output = gr.Textbox(label="Refine Paragraph 段落改善建議")
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Evaluate
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outputs=correct_grammatical_spelling_errors_output
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def generate_paragraph_evaluate(paragraph, user_generate_paragraph_evaluate_prompt):
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paragraph_evaluate_output
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paragraph_evaluate_output
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refactor
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outputs=conclusion_sentence_output
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def generate_paragraph(topic_sentence, supporting_sentences, conclusion_sentence):
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gr.Markdown("## 6. Conclusion sentence 結論句")
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no more explanation either no more extra non-relation sentences.
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supporting_sentences_output = gr.Textbox(label="Generated Supporting Sentences 支持句")
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