Spaces:
Sleeping
Sleeping
Adjust layout
Browse files
app.py
CHANGED
|
@@ -10,8 +10,18 @@ from tqdm import tqdm
|
|
| 10 |
from api_calls import *
|
| 11 |
|
| 12 |
ROOT_DIR = Path(__file__).resolve().parents[0]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 13 |
|
| 14 |
-
|
| 15 |
def markdown2html(md: str) -> str:
|
| 16 |
import markdown
|
| 17 |
return markdown.markdown(md)
|
|
@@ -80,20 +90,25 @@ with gr.Blocks(css=css, theme=gr.themes.Monochrome(neutral_hue="green", primary_
|
|
| 80 |
with gr.Group():
|
| 81 |
gr.Markdown("### Configuration", elem_id="center")
|
| 82 |
esgsumm_report_tone = gr.Dropdown(
|
|
|
|
| 83 |
label="Tone",
|
| 84 |
choices=["富有創意", "中庸", "精確"])
|
| 85 |
esgsumm_openai_model_name = gr.Dropdown(
|
|
|
|
| 86 |
label="OpenAI Model",
|
| 87 |
choices=["gpt-4-turbo-preview", "gpt-3.5-turbo"])
|
| 88 |
esgsumm_year = gr.Dropdown(
|
|
|
|
| 89 |
label="Year",
|
| 90 |
choices=["111", "110", "109"]
|
| 91 |
)
|
| 92 |
esgsumm_target_type = gr.Dropdown(
|
|
|
|
| 93 |
label="Target Type",
|
| 94 |
-
choices=["company_name", "industry"]
|
| 95 |
)
|
| 96 |
esgsumm_target_value = gr.Dropdown(
|
|
|
|
| 97 |
label="Target Value",
|
| 98 |
choices=["台泥", "聯電", "裕融", "大同", "台積電", "鴻海", "中鋼", "中華電信"]
|
| 99 |
)
|
|
@@ -127,17 +142,21 @@ with gr.Blocks(css=css, theme=gr.themes.Monochrome(neutral_hue="green", primary_
|
|
| 127 |
with gr.Group():
|
| 128 |
gr.Markdown("### Configuration", elem_id="center")
|
| 129 |
esgqa_openai_model_name = gr.Dropdown(
|
|
|
|
| 130 |
label="OpenAI Model",
|
| 131 |
choices=["gpt-4-turbo-preview", "gpt-3.5-turbo"])
|
| 132 |
esgqa_year = gr.Dropdown(
|
|
|
|
| 133 |
label="Year",
|
| 134 |
choices=["111", "110", "109"]
|
| 135 |
)
|
| 136 |
esgqa_target_type = gr.Dropdown(
|
|
|
|
| 137 |
label="Target Type",
|
| 138 |
-
choices=["company_name", "industry"]
|
| 139 |
)
|
| 140 |
esgqa_target_value = gr.Dropdown(
|
|
|
|
| 141 |
label="Target Value",
|
| 142 |
choices=["台泥", "聯電", "裕融", "大同", "台積電", "鴻海", "中鋼", "中華電信"]
|
| 143 |
)
|
|
@@ -170,6 +189,9 @@ with gr.Blocks(css=css, theme=gr.themes.Monochrome(neutral_hue="green", primary_
|
|
| 170 |
|
| 171 |
|
| 172 |
# esgsumm
|
|
|
|
|
|
|
|
|
|
| 173 |
esgsumm_report_gen_button.click(
|
| 174 |
esgsumm_exe, [esgsumm_openai_model_name, esgsumm_year, esgsumm_target_type, esgsumm_target_value, esgsumm_report_tone], [esgsumm_report_output]
|
| 175 |
).then(
|
|
@@ -182,6 +204,9 @@ with gr.Blocks(css=css, theme=gr.themes.Monochrome(neutral_hue="green", primary_
|
|
| 182 |
)
|
| 183 |
|
| 184 |
# esgqa
|
|
|
|
|
|
|
|
|
|
| 185 |
esgqa_chatbot_input.submit(
|
| 186 |
add_text, [esgqa_chatbot, esgqa_chatbot_input], [esgqa_chatbot, esgqa_chatbot_input], queue=False
|
| 187 |
).then(
|
|
|
|
| 10 |
from api_calls import *
|
| 11 |
|
| 12 |
ROOT_DIR = Path(__file__).resolve().parents[0]
|
| 13 |
+
default_co_ids = ["2330", "2317", "1301", "2303", "1101", "2311", "2002", "2412"]
|
| 14 |
+
default_company_names = ["台泥", "聯電", "裕融", "大同", "台積電", "鴻海", "中鋼", "中華電信"]
|
| 15 |
+
default_industries = ["半導體業", "水泥工業", "電子零組件業", "電子通路業", "電腦及週邊設備業", "其他電子業", "金融保險業", "文化創意業", "鋼鐵工業", "通信網路業", "電子商務業"]
|
| 16 |
+
|
| 17 |
+
def load_default_filter_data(filter_type):
|
| 18 |
+
d = {
|
| 19 |
+
"co_id": default_co_ids,
|
| 20 |
+
"company_name": default_company_names,
|
| 21 |
+
"industry": default_industries,
|
| 22 |
+
}[filter_type]
|
| 23 |
+
return gr.Dropdown.update(choices=d)
|
| 24 |
|
|
|
|
| 25 |
def markdown2html(md: str) -> str:
|
| 26 |
import markdown
|
| 27 |
return markdown.markdown(md)
|
|
|
|
| 90 |
with gr.Group():
|
| 91 |
gr.Markdown("### Configuration", elem_id="center")
|
| 92 |
esgsumm_report_tone = gr.Dropdown(
|
| 93 |
+
value="精確",
|
| 94 |
label="Tone",
|
| 95 |
choices=["富有創意", "中庸", "精確"])
|
| 96 |
esgsumm_openai_model_name = gr.Dropdown(
|
| 97 |
+
value="gpt-4-turbo-preview",
|
| 98 |
label="OpenAI Model",
|
| 99 |
choices=["gpt-4-turbo-preview", "gpt-3.5-turbo"])
|
| 100 |
esgsumm_year = gr.Dropdown(
|
| 101 |
+
value="111",
|
| 102 |
label="Year",
|
| 103 |
choices=["111", "110", "109"]
|
| 104 |
)
|
| 105 |
esgsumm_target_type = gr.Dropdown(
|
| 106 |
+
value="company_name",
|
| 107 |
label="Target Type",
|
| 108 |
+
choices=["company_name", "industry", "co_id"]
|
| 109 |
)
|
| 110 |
esgsumm_target_value = gr.Dropdown(
|
| 111 |
+
value="台積電",
|
| 112 |
label="Target Value",
|
| 113 |
choices=["台泥", "聯電", "裕融", "大同", "台積電", "鴻海", "中鋼", "中華電信"]
|
| 114 |
)
|
|
|
|
| 142 |
with gr.Group():
|
| 143 |
gr.Markdown("### Configuration", elem_id="center")
|
| 144 |
esgqa_openai_model_name = gr.Dropdown(
|
| 145 |
+
value="gpt-4-turbo-preview",
|
| 146 |
label="OpenAI Model",
|
| 147 |
choices=["gpt-4-turbo-preview", "gpt-3.5-turbo"])
|
| 148 |
esgqa_year = gr.Dropdown(
|
| 149 |
+
value="111",
|
| 150 |
label="Year",
|
| 151 |
choices=["111", "110", "109"]
|
| 152 |
)
|
| 153 |
esgqa_target_type = gr.Dropdown(
|
| 154 |
+
value="company_name",
|
| 155 |
label="Target Type",
|
| 156 |
+
choices=["company_name", "industry", "co_id"]
|
| 157 |
)
|
| 158 |
esgqa_target_value = gr.Dropdown(
|
| 159 |
+
value="台積電",
|
| 160 |
label="Target Value",
|
| 161 |
choices=["台泥", "聯電", "裕融", "大同", "台積電", "鴻海", "中鋼", "中華電信"]
|
| 162 |
)
|
|
|
|
| 189 |
|
| 190 |
|
| 191 |
# esgsumm
|
| 192 |
+
esgsumm_target_type.change(
|
| 193 |
+
load_default_filter_data, [esgsumm_target_type], [esgsumm_target_value]
|
| 194 |
+
)
|
| 195 |
esgsumm_report_gen_button.click(
|
| 196 |
esgsumm_exe, [esgsumm_openai_model_name, esgsumm_year, esgsumm_target_type, esgsumm_target_value, esgsumm_report_tone], [esgsumm_report_output]
|
| 197 |
).then(
|
|
|
|
| 204 |
)
|
| 205 |
|
| 206 |
# esgqa
|
| 207 |
+
esgqa_target_type.change(
|
| 208 |
+
load_default_filter_data, [esgqa_target_type], [esgqa_target_value]
|
| 209 |
+
)
|
| 210 |
esgqa_chatbot_input.submit(
|
| 211 |
add_text, [esgqa_chatbot, esgqa_chatbot_input], [esgqa_chatbot, esgqa_chatbot_input], queue=False
|
| 212 |
).then(
|