Spaces:
Running
Running
model 4o
Browse files
app.py
CHANGED
@@ -32,8 +32,9 @@ def generate_topics(model, max_tokens, sys_content, scenario, eng_level, user_ge
|
|
32 |
根据系统提示和用户输入的情境及主题,调用OpenAI API生成相关的主题句。
|
33 |
"""
|
34 |
user_content = f"""
|
35 |
-
scenario is {scenario}
|
36 |
-
english level is {eng_level}
|
|
|
37 |
{user_generate_topics_prompt}
|
38 |
"""
|
39 |
messages = [
|
@@ -64,9 +65,10 @@ def generate_points(model, max_tokens, sys_content, scenario, eng_level, topic,
|
|
64 |
根据系统提示和用户输入的情境、主题,调用OpenAI API生成相关的主题句。
|
65 |
"""
|
66 |
user_content = f"""
|
67 |
-
scenario is {scenario}
|
68 |
-
english level is {eng_level}
|
69 |
-
topic is {topic}
|
|
|
70 |
{user_generate_points_prompt}
|
71 |
"""
|
72 |
messages = [
|
@@ -97,10 +99,11 @@ def generate_topic_sentences(model, max_tokens, sys_content, scenario, eng_level
|
|
97 |
根据系统提示和用户输入的情境及要点,调用OpenAI API生成相关的主题句及其合理性解释。
|
98 |
"""
|
99 |
user_content = f"""
|
100 |
-
scenario is {scenario}
|
101 |
-
english level is {eng_level}
|
102 |
-
topic is {topic}
|
103 |
-
points is {points}
|
|
|
104 |
{user_generate_topic_sentences_prompt}
|
105 |
"""
|
106 |
messages = [
|
@@ -153,11 +156,12 @@ def generate_supporting_sentences(model, max_tokens, sys_content, scenario, eng_
|
|
153 |
根据系统提示和用户输入的情境、主题、要点、主题句,调用OpenAI API生成相关的支持句。
|
154 |
"""
|
155 |
user_content = f"""
|
156 |
-
scenario is {scenario}
|
157 |
-
english level is {eng_level}
|
158 |
-
topic is {topic}
|
159 |
-
points is {points}
|
160 |
-
topic sentence is {topic_sentence}
|
|
|
161 |
{user_generate_supporting_sentences_prompt}
|
162 |
"""
|
163 |
messages = [
|
@@ -185,11 +189,12 @@ def generate_conclusion_sentences(model, max_tokens, sys_content, scenario, eng_
|
|
185 |
根据系统提示和用户输入的情境、主题、要点、主题句,调用OpenAI API生成相关的结论句。
|
186 |
"""
|
187 |
user_content = f"""
|
188 |
-
scenario is {scenario}
|
189 |
-
english level is {eng_level}
|
190 |
-
topic is {topic}
|
191 |
-
points is {points}
|
192 |
-
topic sentence is {topic_sentence}
|
|
|
193 |
{user_generate_conclusion_sentence_prompt}
|
194 |
"""
|
195 |
messages = [
|
@@ -221,12 +226,13 @@ def generate_paragraph(topic_sentence, supporting_sentences, conclusion_sentence
|
|
221 |
paragraph = f"{topic_sentence} {supporting_sentences} {conclusion_sentence}"
|
222 |
return paragraph
|
223 |
|
224 |
-
def generate_paragraph_evaluate(sys_content, paragraph, user_generate_paragraph_evaluate_prompt):
|
225 |
"""
|
226 |
根据用户输入的段落,调用OpenAI API生成相关的段落分析。
|
227 |
"""
|
228 |
user_content = f"""
|
229 |
-
paragraph is {paragraph}
|
|
|
230 |
{user_generate_paragraph_evaluate_prompt}
|
231 |
"""
|
232 |
messages = [
|
@@ -237,7 +243,7 @@ def generate_paragraph_evaluate(sys_content, paragraph, user_generate_paragraph_
|
|
237 |
response_format = { "type": "json_object" }
|
238 |
|
239 |
request_payload = {
|
240 |
-
"model":
|
241 |
"messages": messages,
|
242 |
"max_tokens": 2000,
|
243 |
"response_format": response_format
|
@@ -263,13 +269,14 @@ def generate_paragraph_evaluate(sys_content, paragraph, user_generate_paragraph_
|
|
263 |
return gr_update
|
264 |
|
265 |
|
266 |
-
def generate_correct_grammatical_spelling_errors(sys_content, eng_level, paragraph, user_correct_grammatical_spelling_errors_prompt):
|
267 |
"""
|
268 |
根据用户输入的段落,调用OpenAI API生成相关的文法和拼字错误修正。
|
269 |
"""
|
270 |
user_content = f"""
|
271 |
-
level is {eng_level}
|
272 |
-
paragraph is {paragraph}
|
|
|
273 |
{user_correct_grammatical_spelling_errors_prompt}
|
274 |
"""
|
275 |
messages = [
|
@@ -278,7 +285,7 @@ def generate_correct_grammatical_spelling_errors(sys_content, eng_level, paragra
|
|
278 |
]
|
279 |
response_format = { "type": "json_object" }
|
280 |
request_payload = {
|
281 |
-
"model":
|
282 |
"messages": messages,
|
283 |
"max_tokens": 1000,
|
284 |
"response_format": response_format
|
@@ -326,13 +333,14 @@ def highlight_diff_texts(highlight_list, text):
|
|
326 |
def update_paragraph_correct_grammatical_spelling_errors_input(paragraph):
|
327 |
return paragraph
|
328 |
|
329 |
-
def generate_refine_paragraph(sys_content, eng_level, paragraph, user_refine_paragraph_prompt):
|
330 |
"""
|
331 |
根据用户输入的段落,调用OpenAI API生成相关的段落改善建议。
|
332 |
"""
|
333 |
user_content = f"""
|
334 |
-
eng_level is {eng_level}
|
335 |
-
paragraph is {paragraph}
|
|
|
336 |
{user_refine_paragraph_prompt}
|
337 |
"""
|
338 |
messages = [
|
@@ -343,7 +351,7 @@ def generate_refine_paragraph(sys_content, eng_level, paragraph, user_refine_par
|
|
343 |
response_format = { "type": "json_object" }
|
344 |
|
345 |
request_payload = {
|
346 |
-
"model":
|
347 |
"messages": messages,
|
348 |
"max_tokens": 4000,
|
349 |
"response_format": response_format
|
@@ -425,7 +433,7 @@ def update_history_accordion():
|
|
425 |
return history_accordion_gr_update
|
426 |
|
427 |
|
428 |
-
def generate_chinese_evaluation_table(sys_content, user_prompt, text):
|
429 |
# https://www.ceec.edu.tw/files/file_pool/1/0j052575870800204600/1216%E5%9C%8B%E6%96%87%E4%BD%9C%E6%96%87%E5%88%86%E9%A0%85%E5%BC%8F%E8%A9%95%E5%88%86%E6%8C%87%E6%A8%99.pdf
|
430 |
|
431 |
user_content = f"""
|
@@ -441,7 +449,7 @@ def generate_chinese_evaluation_table(sys_content, user_prompt, text):
|
|
441 |
response_format = { "type": "json_object" }
|
442 |
|
443 |
request_payload = {
|
444 |
-
"model":
|
445 |
"messages": messages,
|
446 |
"max_tokens": 2000,
|
447 |
"response_format": response_format
|
@@ -489,7 +497,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
489 |
with gr.Tab(label="英文段落寫作練習"):
|
490 |
# ===== 基礎級使用者 =====
|
491 |
with gr.Row(visible=False) as default_params:
|
492 |
-
model = gr.Radio(["gpt-
|
493 |
max_tokens = gr.Slider(minimum=50, maximum=4000, value=4000, label="Max Tokens")
|
494 |
sys_content_input = gr.Textbox(label="System Prompt", value="You are an English teacher who is practicing with me to improve my English writing skill.")
|
495 |
eng_level_input = gr.Radio(["beginner", "intermediate", "advanced"], label="English Level", value="beginner")
|
@@ -533,7 +541,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
533 |
outputs=[scenario_input]
|
534 |
)
|
535 |
|
536 |
-
# Step
|
537 |
with gr.Row():
|
538 |
with gr.Column():
|
539 |
with gr.Row():
|
@@ -588,7 +596,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
588 |
)
|
589 |
return topic_radio
|
590 |
|
591 |
-
# Step
|
592 |
with gr.Row():
|
593 |
with gr.Column():
|
594 |
with gr.Row() as points_params:
|
@@ -640,7 +648,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
640 |
)
|
641 |
return points_radio
|
642 |
|
643 |
-
# Step
|
644 |
with gr.Row():
|
645 |
with gr.Column():
|
646 |
with gr.Row() as topic_sentences_params:
|
@@ -716,7 +724,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
716 |
|
717 |
return topic_sentences_radio
|
718 |
|
719 |
-
# Step
|
720 |
with gr.Row():
|
721 |
with gr.Column():
|
722 |
with gr.Row() as supporting_sentences_params:
|
@@ -742,12 +750,13 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
742 |
user_generate_supporting_sentences_prompt = gr.Textbox(label="Supporting Sentences Prompt", value=default_generate_supporting_sentences_prompt, visible=False)
|
743 |
|
744 |
with gr.Row() as supporting_sentences_html:
|
745 |
-
gr.Markdown("# Step
|
746 |
-
with gr.Row():
|
747 |
-
gr.Markdown("## 請根據主題句,練習寫出 「支持句」及「結論句」來完成一個完整的段落。")
|
748 |
with gr.Row():
|
749 |
with gr.Column():
|
750 |
-
gr.
|
|
|
|
|
|
|
751 |
with gr.Column():
|
752 |
with gr.Accordion("參考指引:撰寫支持句的方法?", open=False):
|
753 |
gr.Markdown("""
|
@@ -761,13 +770,13 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
761 |
""")
|
762 |
with gr.Accordion("參考指引:針對要點的支持句,要寫幾句呢?", open=False):
|
763 |
gr.Markdown("""
|
764 |
-
-
|
765 |
-
-
|
766 |
-
-
|
767 |
""")
|
768 |
with gr.Row():
|
769 |
with gr.Column():
|
770 |
-
gr.Markdown("###
|
771 |
supporting_sentences_input = gr.Textbox(label="Supporting Sentences")
|
772 |
with gr.Column():
|
773 |
generate_supporting_sentences_button = gr.Button("讓 JUTOR 產生例句,幫助你撰寫支持句。", variant="primary")
|
@@ -795,7 +804,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
795 |
outputs= [supporting_sentences_input]
|
796 |
)
|
797 |
|
798 |
-
# Step
|
799 |
with gr.Row():
|
800 |
with gr.Column():
|
801 |
with gr.Row() as conclusion_sentences_params:
|
@@ -826,7 +835,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
826 |
with gr.Column():
|
827 |
gr.Markdown("## 總結主要觀點,強化整個資訊的傳遞。重述、摘要、回應或評論主題句。")
|
828 |
with gr.Column():
|
829 |
-
with gr.Accordion("
|
830 |
gr.Markdown("""
|
831 |
- 以換句話說 (paraphrase) 的方式把主題句再說一次
|
832 |
- 摘要三要點方式寫結論句
|
@@ -861,11 +870,11 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
861 |
outputs= [conclusion_sentence_input]
|
862 |
)
|
863 |
|
864 |
-
# Step
|
865 |
with gr.Row():
|
866 |
with gr.Column():
|
867 |
with gr.Row():
|
868 |
-
gr.Markdown("# Step
|
869 |
with gr.Row():
|
870 |
with gr.Column():
|
871 |
gr.Markdown("""### 你已經完成段落草稿,可再檢視幾次:
|
@@ -997,6 +1006,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
997 |
generate_paragraph_evaluate_button.click(
|
998 |
fn=generate_paragraph_evaluate,
|
999 |
inputs=[
|
|
|
1000 |
sys_content_input,
|
1001 |
paragraph_output,
|
1002 |
user_generate_paragraph_evaluate_prompt
|
@@ -1012,14 +1022,19 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1012 |
I'm aiming to improve my writing.
|
1013 |
Please assist me by "Correcting Grammatical and Spelling Errors" in the provided paragraph.
|
1014 |
For every correction you make, I'd like an "Explanation" to understand the reasoning behind it.
|
|
|
|
|
1015 |
- Paragraph for Correction: [paragraph split by punctuation mark]
|
1016 |
- The sentence to remain unchanged: [sentence_to_remain_unchanged]
|
1017 |
- When explaining, use Traditional Chinese (Taiwan, 繁體中文) for clarity.
|
1018 |
- But others(original, Correction, revised_paragraph) in English.
|
1019 |
- Make sure any revised vocabulary aligns with the eng_level.
|
|
|
|
|
|
|
1020 |
Guidelines for Length and Complexity:
|
1021 |
- Please keep explanations concise and straightforward
|
1022 |
-
- if no
|
1023 |
|
1024 |
Restrictions:
|
1025 |
- avoiding overly technical language.
|
@@ -1057,7 +1072,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1057 |
with gr.Column():
|
1058 |
paragraph_correct_grammatical_spelling_errors_input = gr.Textbox(label="這是你的原始寫作內容,參考 JUTOR 的改正,你可以選擇是否修改:")
|
1059 |
with gr.Column():
|
1060 |
-
generate_correct_grammatical_spelling_errors_button = gr.Button("
|
1061 |
correct_grammatical_spelling_errors_output_table = gr.Dataframe(label="修訂文法與拼字錯誤", interactive=False)
|
1062 |
revised_paragraph_output = gr.Textbox(label="Revised Paragraph", show_copy_button=True, visible=False)
|
1063 |
gr.Markdown("## 修訂結果")
|
@@ -1066,6 +1081,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1066 |
generate_correct_grammatical_spelling_errors_button.click(
|
1067 |
fn=generate_correct_grammatical_spelling_errors,
|
1068 |
inputs=[
|
|
|
1069 |
sys_content_input,
|
1070 |
eng_level_input,
|
1071 |
paragraph_output,
|
@@ -1099,7 +1115,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1099 |
|
1100 |
Guidelines for Length and Complexity:
|
1101 |
- Please keep explanations concise and straightforward
|
1102 |
-
- if
|
1103 |
|
1104 |
Restrictions:
|
1105 |
- avoiding overly technical language.
|
@@ -1139,6 +1155,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1139 |
generate_refine_paragraph_button.click(
|
1140 |
fn=generate_refine_paragraph,
|
1141 |
inputs=[
|
|
|
1142 |
sys_content_input,
|
1143 |
eng_level_input,
|
1144 |
paragraph_correct_grammatical_spelling_errors_input,
|
@@ -1252,7 +1269,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1252 |
with gr.Column():
|
1253 |
full_paragraph_correct_grammatical_spelling_errors_input = gr.Textbox(label="這是你的原始寫作內容,參考 JUTOR 的建議,你可以選擇是否修改:")
|
1254 |
with gr.Column():
|
1255 |
-
generate_full_paragraph_correct_grammatical_spelling_errors_button = gr.Button("
|
1256 |
full_paragraph_correct_grammatical_spelling_errors_output_table = gr.Dataframe(label="修訂文法與拼字錯誤", interactive=False, column_widths=[30, 30, 40])
|
1257 |
revised_full_paragraph_output = gr.Textbox(label="Revised Paragraph", show_copy_button=True, visible=False)
|
1258 |
gr.Markdown("## 修訂結果")
|
@@ -1285,7 +1302,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1285 |
|
1286 |
full_paragraph_evaluate_button.click(
|
1287 |
fn=generate_paragraph_evaluate,
|
1288 |
-
inputs=[sys_content_input, full_paragraph_input, user_generate_full_paragraph_evaluate_prompt],
|
1289 |
outputs=full_paragraph_evaluate_output
|
1290 |
).then(
|
1291 |
fn=update_paragraph_correct_grammatical_spelling_errors_input,
|
@@ -1295,7 +1312,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1295 |
|
1296 |
generate_full_paragraph_correct_grammatical_spelling_errors_button.click(
|
1297 |
fn=generate_correct_grammatical_spelling_errors,
|
1298 |
-
inputs=[sys_content_input, eng_level_input, full_paragraph_correct_grammatical_spelling_errors_input, user_correct_grammatical_spelling_errors_prompt],
|
1299 |
outputs=[full_paragraph_correct_grammatical_spelling_errors_output_table, revised_full_paragraph_output]
|
1300 |
).then(
|
1301 |
fn=highlight_diff_texts,
|
@@ -1309,7 +1326,13 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1309 |
|
1310 |
generate_full_paragraph_refine_button.click(
|
1311 |
fn=generate_refine_paragraph,
|
1312 |
-
inputs=[
|
|
|
|
|
|
|
|
|
|
|
|
|
1313 |
outputs=[full_paragraph_refine_output_table, full_paragraph_refine_output]
|
1314 |
).then(
|
1315 |
fn=highlight_diff_texts,
|
@@ -1403,7 +1426,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1403 |
with gr.Column():
|
1404 |
chinese_full_paragraph_correct_grammatical_spelling_errors_input = gr.Textbox(label="這是你的原始寫作內容,參考 JUTOR 的建議,你可以選擇是否修改:")
|
1405 |
with gr.Column():
|
1406 |
-
generate_chinese_full_paragraph_correct_grammatical_spelling_errors_button = gr.Button("
|
1407 |
chinese_full_paragraph_correct_grammatical_spelling_errors_output_table = gr.Dataframe(label="修訂文法與拼字錯誤", interactive=False, column_widths=[30, 30, 40])
|
1408 |
revised_chinese_full_paragraph_output = gr.Textbox(label="Revised Paragraph", show_copy_button=True, visible=False)
|
1409 |
gr.Markdown("## 修訂結果")
|
@@ -1436,7 +1459,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1436 |
|
1437 |
chinese_full_paragraph_evaluate_button.click(
|
1438 |
fn=generate_chinese_evaluation_table,
|
1439 |
-
inputs=[chinese_full_paragraph_sys_content_input, user_generate_chinese_full_paragraph_evaluate_prompt, chinese_full_paragraph_input],
|
1440 |
outputs=chinese_full_paragraph_evaluate_output
|
1441 |
).then(
|
1442 |
fn=update_paragraph_correct_grammatical_spelling_errors_input,
|
@@ -1446,7 +1469,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1446 |
|
1447 |
generate_chinese_full_paragraph_correct_grammatical_spelling_errors_button.click(
|
1448 |
fn=generate_correct_grammatical_spelling_errors,
|
1449 |
-
inputs=[chinese_full_paragraph_sys_content_input, eng_level_input, chinese_full_paragraph_correct_grammatical_spelling_errors_input, user_correct_grammatical_spelling_errors_prompt],
|
1450 |
outputs=[chinese_full_paragraph_correct_grammatical_spelling_errors_output_table, revised_chinese_full_paragraph_output]
|
1451 |
).then(
|
1452 |
fn=highlight_diff_texts,
|
@@ -1460,7 +1483,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1460 |
|
1461 |
generate_chinese_full_paragraph_refine_button.click(
|
1462 |
fn=generate_refine_paragraph,
|
1463 |
-
inputs=[chinese_full_paragraph_sys_content_input, eng_level_input, chinese_full_paragraph_refine_input, user_refine_paragraph_prompt],
|
1464 |
outputs=[chinese_full_paragraph_refine_output_table, chinese_full_paragraph_refine_output]
|
1465 |
).then(
|
1466 |
fn=highlight_diff_texts,
|
@@ -1506,7 +1529,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1506 |
)
|
1507 |
|
1508 |
# 評分
|
1509 |
-
with gr.Row(
|
1510 |
with gr.Column():
|
1511 |
with gr.Row():
|
1512 |
past_exam_evaluation_sys_content_prompt = gr.Textbox(label="System Prompt", value="You are an English teacher who is practicing with me to improve my English writing skill.", visible=False)
|
@@ -1527,7 +1550,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1527 |
with gr.Accordion("prompt 提供微調測試", open=False, elem_classes=['accordion-prompts']):
|
1528 |
past_exam_correct_grammatical_spelling_errors_prompt = gr.Textbox(label="Correct Grammatical and Spelling Errors Prompt", value=default_user_correct_grammatical_spelling_errors_prompt, lines= 20)
|
1529 |
with gr.Row():
|
1530 |
-
past_exam_generate_correct_grammatical_spelling_errors_button = gr.Button("
|
1531 |
with gr.Row():
|
1532 |
past_exam_correct_grammatical_spelling_errors_output_table = gr.Dataframe(label="修訂文法與拼字錯誤", interactive=False, column_widths=[30, 30, 40])
|
1533 |
with gr.Row():
|
@@ -1568,7 +1591,7 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue, secondary
|
|
1568 |
|
1569 |
past_exam_generate_correct_grammatical_spelling_errors_button.click(
|
1570 |
fn=generate_correct_grammatical_spelling_errors,
|
1571 |
-
inputs=[past_exam_evaluation_sys_content_prompt, eng_level_input, past_exam_correct_grammatical_spelling_errors_input, past_exam_correct_grammatical_spelling_errors_prompt],
|
1572 |
outputs=[past_exam_correct_grammatical_spelling_errors_output_table, past_exam_revised_output]
|
1573 |
).then(
|
1574 |
fn=highlight_diff_texts,
|
|
|
32 |
根据系统提示和用户输入的情境及主题,调用OpenAI API生成相关的主题句。
|
33 |
"""
|
34 |
user_content = f"""
|
35 |
+
scenario is: {scenario}
|
36 |
+
english level is: {eng_level}
|
37 |
+
---
|
38 |
{user_generate_topics_prompt}
|
39 |
"""
|
40 |
messages = [
|
|
|
65 |
根据系统提示和用户输入的情境、主题,调用OpenAI API生成相关的主题句。
|
66 |
"""
|
67 |
user_content = f"""
|
68 |
+
scenario is: {scenario}
|
69 |
+
english level is: {eng_level}
|
70 |
+
topic is: {topic}
|
71 |
+
---
|
72 |
{user_generate_points_prompt}
|
73 |
"""
|
74 |
messages = [
|
|
|
99 |
根据系统提示和用户输入的情境及要点,调用OpenAI API生成相关的主题句及其合理性解释。
|
100 |
"""
|
101 |
user_content = f"""
|
102 |
+
scenario is: {scenario}
|
103 |
+
english level is: {eng_level}
|
104 |
+
topic is: {topic}
|
105 |
+
points is: {points}
|
106 |
+
---
|
107 |
{user_generate_topic_sentences_prompt}
|
108 |
"""
|
109 |
messages = [
|
|
|
156 |
根据系统提示和用户输入的情境、主题、要点、主题句,调用OpenAI API生成相关的支持句。
|
157 |
"""
|
158 |
user_content = f"""
|
159 |
+
scenario is: {scenario}
|
160 |
+
english level is: {eng_level}
|
161 |
+
topic is: {topic}
|
162 |
+
points is: {points}
|
163 |
+
topic sentence is: {topic_sentence}
|
164 |
+
---
|
165 |
{user_generate_supporting_sentences_prompt}
|
166 |
"""
|
167 |
messages = [
|
|
|
189 |
根据系统提示和用户输入的情境、主题、要点、主题句,调用OpenAI API生成相关的结论句。
|
190 |
"""
|
191 |
user_content = f"""
|
192 |
+
scenario is: {scenario}
|
193 |
+
english level is: {eng_level}
|
194 |
+
topic is: {topic}
|
195 |
+
points is: {points}
|
196 |
+
topic sentence is: {topic_sentence}
|
197 |
+
---
|
198 |
{user_generate_conclusion_sentence_prompt}
|
199 |
"""
|
200 |
messages = [
|
|
|
226 |
paragraph = f"{topic_sentence} {supporting_sentences} {conclusion_sentence}"
|
227 |
return paragraph
|
228 |
|
229 |
+
def generate_paragraph_evaluate(model, sys_content, paragraph, user_generate_paragraph_evaluate_prompt):
|
230 |
"""
|
231 |
根据用户输入的段落,调用OpenAI API生成相关的段落分析。
|
232 |
"""
|
233 |
user_content = f"""
|
234 |
+
paragraph is: {paragraph}
|
235 |
+
---
|
236 |
{user_generate_paragraph_evaluate_prompt}
|
237 |
"""
|
238 |
messages = [
|
|
|
243 |
response_format = { "type": "json_object" }
|
244 |
|
245 |
request_payload = {
|
246 |
+
"model": model,
|
247 |
"messages": messages,
|
248 |
"max_tokens": 2000,
|
249 |
"response_format": response_format
|
|
|
269 |
return gr_update
|
270 |
|
271 |
|
272 |
+
def generate_correct_grammatical_spelling_errors(model, sys_content, eng_level, paragraph, user_correct_grammatical_spelling_errors_prompt):
|
273 |
"""
|
274 |
根据用户输入的段落,调用OpenAI API生成相关的文法和拼字错误修正。
|
275 |
"""
|
276 |
user_content = f"""
|
277 |
+
level is: {eng_level}
|
278 |
+
paragraph is: {paragraph}
|
279 |
+
---
|
280 |
{user_correct_grammatical_spelling_errors_prompt}
|
281 |
"""
|
282 |
messages = [
|
|
|
285 |
]
|
286 |
response_format = { "type": "json_object" }
|
287 |
request_payload = {
|
288 |
+
"model": model,
|
289 |
"messages": messages,
|
290 |
"max_tokens": 1000,
|
291 |
"response_format": response_format
|
|
|
333 |
def update_paragraph_correct_grammatical_spelling_errors_input(paragraph):
|
334 |
return paragraph
|
335 |
|
336 |
+
def generate_refine_paragraph(model, sys_content, eng_level, paragraph, user_refine_paragraph_prompt):
|
337 |
"""
|
338 |
根据用户输入的段落,调用OpenAI API生成相关的段落改善建议。
|
339 |
"""
|
340 |
user_content = f"""
|
341 |
+
eng_level is: {eng_level}
|
342 |
+
paragraph is: {paragraph}
|
343 |
+
---
|
344 |
{user_refine_paragraph_prompt}
|
345 |
"""
|
346 |
messages = [
|
|
|
351 |
response_format = { "type": "json_object" }
|
352 |
|
353 |
request_payload = {
|
354 |
+
"model": model,
|
355 |
"messages": messages,
|
356 |
"max_tokens": 4000,
|
357 |
"response_format": response_format
|
|
|
433 |
return history_accordion_gr_update
|
434 |
|
435 |
|
436 |
+
def generate_chinese_evaluation_table(model, sys_content, user_prompt, text):
|
437 |
# https://www.ceec.edu.tw/files/file_pool/1/0j052575870800204600/1216%E5%9C%8B%E6%96%87%E4%BD%9C%E6%96%87%E5%88%86%E9%A0%85%E5%BC%8F%E8%A9%95%E5%88%86%E6%8C%87%E6%A8%99.pdf
|
438 |
|
439 |
user_content = f"""
|
|
|
449 |
response_format = { "type": "json_object" }
|
450 |
|
451 |
request_payload = {
|
452 |
+
"model": model,
|
453 |
"messages": messages,
|
454 |
"max_tokens": 2000,
|
455 |
"response_format": response_format
|
|
|
497 |
with gr.Tab(label="英文段落寫作練習"):
|
498 |
# ===== 基礎級使用者 =====
|
499 |
with gr.Row(visible=False) as default_params:
|
500 |
+
model = gr.Radio(["gpt-4o", "gpt-4-turbo"], label="Model", value="gpt-4o")
|
501 |
max_tokens = gr.Slider(minimum=50, maximum=4000, value=4000, label="Max Tokens")
|
502 |
sys_content_input = gr.Textbox(label="System Prompt", value="You are an English teacher who is practicing with me to improve my English writing skill.")
|
503 |
eng_level_input = gr.Radio(["beginner", "intermediate", "advanced"], label="English Level", value="beginner")
|
|
|
541 |
outputs=[scenario_input]
|
542 |
)
|
543 |
|
544 |
+
# Step 1. 確定段落主題
|
545 |
with gr.Row():
|
546 |
with gr.Column():
|
547 |
with gr.Row():
|
|
|
596 |
)
|
597 |
return topic_radio
|
598 |
|
599 |
+
# Step 2. 寫出關鍵字
|
600 |
with gr.Row():
|
601 |
with gr.Column():
|
602 |
with gr.Row() as points_params:
|
|
|
648 |
)
|
649 |
return points_radio
|
650 |
|
651 |
+
# Step 3. 選定主題句
|
652 |
with gr.Row():
|
653 |
with gr.Column():
|
654 |
with gr.Row() as topic_sentences_params:
|
|
|
724 |
|
725 |
return topic_sentences_radio
|
726 |
|
727 |
+
# Step 4.寫出支持句
|
728 |
with gr.Row():
|
729 |
with gr.Column():
|
730 |
with gr.Row() as supporting_sentences_params:
|
|
|
750 |
user_generate_supporting_sentences_prompt = gr.Textbox(label="Supporting Sentences Prompt", value=default_generate_supporting_sentences_prompt, visible=False)
|
751 |
|
752 |
with gr.Row() as supporting_sentences_html:
|
753 |
+
gr.Markdown("# Step 4. 寫出支持句")
|
|
|
|
|
754 |
with gr.Row():
|
755 |
with gr.Column():
|
756 |
+
with gr.Row():
|
757 |
+
gr.Markdown("## 請根據主題句,練習寫出支持句")
|
758 |
+
with gr.Row():
|
759 |
+
gr.Markdown("### 支持句:以支持句來解釋要點,必要時舉例説明,來支持主題句。這些句子應該按照邏輯順序來組織,例如時間順序、空間順序、重要性順序、因果關係等。並使用轉折詞來引導讀者從一個 idea 到下一個 idea,讓讀者讀起來很順暢,不需反覆閱讀。")
|
760 |
with gr.Column():
|
761 |
with gr.Accordion("參考指引:撰寫支持句的方法?", open=False):
|
762 |
gr.Markdown("""
|
|
|
770 |
""")
|
771 |
with gr.Accordion("參考指引:針對要點的支持句,要寫幾句呢?", open=False):
|
772 |
gr.Markdown("""
|
773 |
+
- 一個關鍵字,寫 3-6 句
|
774 |
+
- 兩個關鍵字,每個要點寫 2-3 句
|
775 |
+
- 三個關鍵字,每個要點寫 1-2 句
|
776 |
""")
|
777 |
with gr.Row():
|
778 |
with gr.Column():
|
779 |
+
gr.Markdown("### 寫出關於「關鍵字」的支持句")
|
780 |
supporting_sentences_input = gr.Textbox(label="Supporting Sentences")
|
781 |
with gr.Column():
|
782 |
generate_supporting_sentences_button = gr.Button("讓 JUTOR 產生例句,幫助你撰寫支持句。", variant="primary")
|
|
|
804 |
outputs= [supporting_sentences_input]
|
805 |
)
|
806 |
|
807 |
+
# Step 5. 寫出結論句
|
808 |
with gr.Row():
|
809 |
with gr.Column():
|
810 |
with gr.Row() as conclusion_sentences_params:
|
|
|
835 |
with gr.Column():
|
836 |
gr.Markdown("## 總結主要觀點,強化整個資訊的傳遞。重述、摘要、回應或評論主題句。")
|
837 |
with gr.Column():
|
838 |
+
with gr.Accordion("參考指引:撰寫「結論句」的方法?", open=False):
|
839 |
gr.Markdown("""
|
840 |
- 以換句話說 (paraphrase) 的方式把主題句再說一次
|
841 |
- 摘要三要點方式寫結論句
|
|
|
870 |
outputs= [conclusion_sentence_input]
|
871 |
)
|
872 |
|
873 |
+
# Step 6. 段落確認與修訂
|
874 |
with gr.Row():
|
875 |
with gr.Column():
|
876 |
with gr.Row():
|
877 |
+
gr.Markdown("# Step 6. 段落確認與修訂")
|
878 |
with gr.Row():
|
879 |
with gr.Column():
|
880 |
gr.Markdown("""### 你已經完成段落草稿,可再檢視幾次:
|
|
|
1006 |
generate_paragraph_evaluate_button.click(
|
1007 |
fn=generate_paragraph_evaluate,
|
1008 |
inputs=[
|
1009 |
+
model,
|
1010 |
sys_content_input,
|
1011 |
paragraph_output,
|
1012 |
user_generate_paragraph_evaluate_prompt
|
|
|
1022 |
I'm aiming to improve my writing.
|
1023 |
Please assist me by "Correcting Grammatical and Spelling Errors" in the provided paragraph.
|
1024 |
For every correction you make, I'd like an "Explanation" to understand the reasoning behind it.
|
1025 |
+
|
1026 |
+
Rules:
|
1027 |
- Paragraph for Correction: [paragraph split by punctuation mark]
|
1028 |
- The sentence to remain unchanged: [sentence_to_remain_unchanged]
|
1029 |
- When explaining, use Traditional Chinese (Taiwan, 繁體中文) for clarity.
|
1030 |
- But others(original, Correction, revised_paragraph) in English.
|
1031 |
- Make sure any revised vocabulary aligns with the eng_level.
|
1032 |
+
- Prepositions Followed by Gerunds: After a preposition, a gerund (the -ing form of a verb) should be used. For example: "interested in reading."
|
1033 |
+
- Two Main Verbs in a Sentence: When a sentence has two main verbs, it is necessary to use conjunctions, infinitives, clauses, or participles to correctly organize and connect the verbs, avoiding confusion in the sentence structure.
|
1034 |
+
|
1035 |
Guidelines for Length and Complexity:
|
1036 |
- Please keep explanations concise and straightforward
|
1037 |
+
- if there are no grammatical or spelling errors, don't need to revise either no more suggestions to show in the revised paragraph.
|
1038 |
|
1039 |
Restrictions:
|
1040 |
- avoiding overly technical language.
|
|
|
1072 |
with gr.Column():
|
1073 |
paragraph_correct_grammatical_spelling_errors_input = gr.Textbox(label="這是你的原始寫作內容,參考 JUTOR 的改正,你可以選擇是否修改:")
|
1074 |
with gr.Column():
|
1075 |
+
generate_correct_grammatical_spelling_errors_button = gr.Button("修訂文法與拼字錯誤", variant="primary")
|
1076 |
correct_grammatical_spelling_errors_output_table = gr.Dataframe(label="修訂文法與拼字錯誤", interactive=False)
|
1077 |
revised_paragraph_output = gr.Textbox(label="Revised Paragraph", show_copy_button=True, visible=False)
|
1078 |
gr.Markdown("## 修訂結果")
|
|
|
1081 |
generate_correct_grammatical_spelling_errors_button.click(
|
1082 |
fn=generate_correct_grammatical_spelling_errors,
|
1083 |
inputs=[
|
1084 |
+
model,
|
1085 |
sys_content_input,
|
1086 |
eng_level_input,
|
1087 |
paragraph_output,
|
|
|
1115 |
|
1116 |
Guidelines for Length and Complexity:
|
1117 |
- Please keep explanations concise and straightforward
|
1118 |
+
- if there are no problems, don't need to revise either no more suggestions to show in the revised paragraph.
|
1119 |
|
1120 |
Restrictions:
|
1121 |
- avoiding overly technical language.
|
|
|
1155 |
generate_refine_paragraph_button.click(
|
1156 |
fn=generate_refine_paragraph,
|
1157 |
inputs=[
|
1158 |
+
model,
|
1159 |
sys_content_input,
|
1160 |
eng_level_input,
|
1161 |
paragraph_correct_grammatical_spelling_errors_input,
|
|
|
1269 |
with gr.Column():
|
1270 |
full_paragraph_correct_grammatical_spelling_errors_input = gr.Textbox(label="這是你的原始寫作內容,參考 JUTOR 的建議,你可以選擇是否修改:")
|
1271 |
with gr.Column():
|
1272 |
+
generate_full_paragraph_correct_grammatical_spelling_errors_button = gr.Button("修訂文法與拼字錯誤", variant="primary")
|
1273 |
full_paragraph_correct_grammatical_spelling_errors_output_table = gr.Dataframe(label="修訂文法與拼字錯誤", interactive=False, column_widths=[30, 30, 40])
|
1274 |
revised_full_paragraph_output = gr.Textbox(label="Revised Paragraph", show_copy_button=True, visible=False)
|
1275 |
gr.Markdown("## 修訂結果")
|
|
|
1302 |
|
1303 |
full_paragraph_evaluate_button.click(
|
1304 |
fn=generate_paragraph_evaluate,
|
1305 |
+
inputs=[model, sys_content_input, full_paragraph_input, user_generate_full_paragraph_evaluate_prompt],
|
1306 |
outputs=full_paragraph_evaluate_output
|
1307 |
).then(
|
1308 |
fn=update_paragraph_correct_grammatical_spelling_errors_input,
|
|
|
1312 |
|
1313 |
generate_full_paragraph_correct_grammatical_spelling_errors_button.click(
|
1314 |
fn=generate_correct_grammatical_spelling_errors,
|
1315 |
+
inputs=[model, sys_content_input, eng_level_input, full_paragraph_correct_grammatical_spelling_errors_input, user_correct_grammatical_spelling_errors_prompt],
|
1316 |
outputs=[full_paragraph_correct_grammatical_spelling_errors_output_table, revised_full_paragraph_output]
|
1317 |
).then(
|
1318 |
fn=highlight_diff_texts,
|
|
|
1326 |
|
1327 |
generate_full_paragraph_refine_button.click(
|
1328 |
fn=generate_refine_paragraph,
|
1329 |
+
inputs=[
|
1330 |
+
model,
|
1331 |
+
sys_content_input,
|
1332 |
+
eng_level_input,
|
1333 |
+
full_paragraph_refine_input,
|
1334 |
+
user_refine_paragraph_prompt
|
1335 |
+
],
|
1336 |
outputs=[full_paragraph_refine_output_table, full_paragraph_refine_output]
|
1337 |
).then(
|
1338 |
fn=highlight_diff_texts,
|
|
|
1426 |
with gr.Column():
|
1427 |
chinese_full_paragraph_correct_grammatical_spelling_errors_input = gr.Textbox(label="這是你的原始寫作內容,參考 JUTOR 的建議,你可以選擇是否修改:")
|
1428 |
with gr.Column():
|
1429 |
+
generate_chinese_full_paragraph_correct_grammatical_spelling_errors_button = gr.Button("修訂文法與拼字錯誤", variant="primary")
|
1430 |
chinese_full_paragraph_correct_grammatical_spelling_errors_output_table = gr.Dataframe(label="修訂文法與拼字錯誤", interactive=False, column_widths=[30, 30, 40])
|
1431 |
revised_chinese_full_paragraph_output = gr.Textbox(label="Revised Paragraph", show_copy_button=True, visible=False)
|
1432 |
gr.Markdown("## 修訂結果")
|
|
|
1459 |
|
1460 |
chinese_full_paragraph_evaluate_button.click(
|
1461 |
fn=generate_chinese_evaluation_table,
|
1462 |
+
inputs=[model, chinese_full_paragraph_sys_content_input, user_generate_chinese_full_paragraph_evaluate_prompt, chinese_full_paragraph_input],
|
1463 |
outputs=chinese_full_paragraph_evaluate_output
|
1464 |
).then(
|
1465 |
fn=update_paragraph_correct_grammatical_spelling_errors_input,
|
|
|
1469 |
|
1470 |
generate_chinese_full_paragraph_correct_grammatical_spelling_errors_button.click(
|
1471 |
fn=generate_correct_grammatical_spelling_errors,
|
1472 |
+
inputs=[model, chinese_full_paragraph_sys_content_input, eng_level_input, chinese_full_paragraph_correct_grammatical_spelling_errors_input, user_correct_grammatical_spelling_errors_prompt],
|
1473 |
outputs=[chinese_full_paragraph_correct_grammatical_spelling_errors_output_table, revised_chinese_full_paragraph_output]
|
1474 |
).then(
|
1475 |
fn=highlight_diff_texts,
|
|
|
1483 |
|
1484 |
generate_chinese_full_paragraph_refine_button.click(
|
1485 |
fn=generate_refine_paragraph,
|
1486 |
+
inputs=[model, chinese_full_paragraph_sys_content_input, eng_level_input, chinese_full_paragraph_refine_input, user_refine_paragraph_prompt],
|
1487 |
outputs=[chinese_full_paragraph_refine_output_table, chinese_full_paragraph_refine_output]
|
1488 |
).then(
|
1489 |
fn=highlight_diff_texts,
|
|
|
1529 |
)
|
1530 |
|
1531 |
# 評分
|
1532 |
+
with gr.Row():
|
1533 |
with gr.Column():
|
1534 |
with gr.Row():
|
1535 |
past_exam_evaluation_sys_content_prompt = gr.Textbox(label="System Prompt", value="You are an English teacher who is practicing with me to improve my English writing skill.", visible=False)
|
|
|
1550 |
with gr.Accordion("prompt 提供微調測試", open=False, elem_classes=['accordion-prompts']):
|
1551 |
past_exam_correct_grammatical_spelling_errors_prompt = gr.Textbox(label="Correct Grammatical and Spelling Errors Prompt", value=default_user_correct_grammatical_spelling_errors_prompt, lines= 20)
|
1552 |
with gr.Row():
|
1553 |
+
past_exam_generate_correct_grammatical_spelling_errors_button = gr.Button("修訂文法與拼字錯誤", variant="primary")
|
1554 |
with gr.Row():
|
1555 |
past_exam_correct_grammatical_spelling_errors_output_table = gr.Dataframe(label="修訂文法與拼字錯誤", interactive=False, column_widths=[30, 30, 40])
|
1556 |
with gr.Row():
|
|
|
1591 |
|
1592 |
past_exam_generate_correct_grammatical_spelling_errors_button.click(
|
1593 |
fn=generate_correct_grammatical_spelling_errors,
|
1594 |
+
inputs=[model, past_exam_evaluation_sys_content_prompt, eng_level_input, past_exam_correct_grammatical_spelling_errors_input, past_exam_correct_grammatical_spelling_errors_prompt],
|
1595 |
outputs=[past_exam_correct_grammatical_spelling_errors_output_table, past_exam_revised_output]
|
1596 |
).then(
|
1597 |
fn=highlight_diff_texts,
|