forked from Chenyme/prompt-test
-
Notifications
You must be signed in to change notification settings - Fork 0
/
test.py
307 lines (275 loc) · 12.8 KB
/
test.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
import os
import json
import time
import httpx
import toml
import datetime
import streamlit as st
import pandas as pd
import streamlit_antd_components as sac
path = os.path.abspath(os.path.dirname(__file__))
with open(f"{path}/config/style.json", "r", encoding="utf-8") as file:
style_data = json.load(file)
with open(f"{path}/config/api.toml", "r", encoding="utf-8") as json_file:
config = toml.load(json_file)
with open(f"{path}/config/url.json", "r", encoding="utf-8") as json_file:
url_data = json.load(json_file)
def json_input_flow1(p, g, a, positive_prompt, negative_prompt):
data = {
"user_prompts": [{"prompt": p}],
"gpt": {"gpt_prompt": config["gpt"]["prompt"]},
"user": {"gender": g, "ages": a},
"template": {"prompt": positive_prompt, "negative_prompt": negative_prompt},
}
return data
def json_input_flow2(p, g, a, s):
data = {
"user_prompts": [{"prompt": p}],
"gpt": {"gpt_prompt": config["gpt"]["prompt"]},
"user": {"gender": g, "ages": a},
"template": {
"prompt": style_data[s]["positive"],
"negative_prompt": style_data[s]["negative"],
},
}
return data
def get_url(data): # 发送json数据，返回json数据
# 使用 httpx 请求结果 post
base_url = config["comfy"]["url"]
response = httpx.post(
f"http://{base_url}/result",
json=data,
headers={"Content-Type": "application/json"},
timeout=60,
)
response_data = response.json()
return response_data
st.set_page_config(
page_title="Prompt Test",
page_icon=":shark:",
layout="wide",
initial_sidebar_state="expanded",
)
with st.sidebar:
st.title("Prompt Test")
sac.divider("测试设置", align="center", color="gray")
key = st.text_input("密钥:", placeholder="输入密钥后使用")
num = st.number_input("每次生成图片的数量:", min_value=1, max_value=5, value=1)
sac.divider("模拟用户", align="center", color="gray")
gender = st.selectbox("性别:", ["男", "女"], index=1)
age = st.selectbox("年龄:", ["18-30", "31-45", "46-59", "60+"], index=0)
user_prompt = st.text_area(
"写作:", placeholder="在这里模拟用户写作。如：今天风景真不错啊!", height=200
)
if key == "123456":
choose = sac.segmented(
items=[
sac.SegmentedItem(label="调整提示词", icon="file-text"),
sac.SegmentedItem(label="现有提示词", icon="gear-fill"),
sac.SegmentedItem(label="所有数据", icon="pc-display"),
],
align="center",
use_container_width=True,
)
if choose == "调整提示词":
with st.expander("**预置提示词**", icon=":material/construction:"):
col1, col2 = st.columns(2)
with col1:
if st.checkbox("加载预置提示词"):
with col2:
style = st.selectbox(
"选择预置提示词",
style_data.keys(),
label_visibility="collapsed",
)
# 调整提示词
with st.container(border=True):
try:
name = st.text_input(
"提示词风格命名",
style,
key="name",
placeholder="请命名此组提示词风格",
)
col1, col2 = st.columns(2)
with col1:
positive = st.text_area(
"正向提示词",
style_data[style]["positive"],
key="positive",
height=200,
help="在这里输入正向提示词请务必预留 **{prompt}** 作为用户输入占位符",
)
with col2:
negative = st.text_area(
"负向提示词",
style_data[style]["negative"],
key="negative",
height=200,
help="在这里输入负向提示词",
)
except:
name = st.text_input("提示词风格命名")
col1, col2 = st.columns(2)
with col1:
positive = st.text_area("正向提示词", height=200)
with col2:
negative = st.text_area("负向提示词", height=200)
st.warning(
"正向提示词请务必预留 **{prompt}** 作为用户输入占位符；提示词命名相同时，会自动覆盖原有提示词！"
)
# 开始测试
col1, col2, col3 = st.columns([0.2, 0.2, 0.6])
with col1:
if st.button("测试效果", use_container_width=True, type="primary"):
if user_prompt != "\n" and user_prompt is not None:
# if "{prompt}" in positive:
with st.spinner("请等待..."):
url_flow1 = []
for i in range(num):
json_data = json_input_flow1(
user_prompt, gender, age, positive, negative
) # 发送的json数据
respond = get_url(json_data) # 接收的json数据
url_flow1.append(respond["image_url"]) # 保存URL
time.sleep(0.01)
current_time = datetime.datetime.now().strftime(
"%Y/%m/%d %H:%M:%S"
)
current_time = current_time + f"【{str(i+1)}】"
url_data["flow1"].update(
{current_time: respond["image_url"]}
)
with open(
f"{path}/config/url.json", "w", encoding="utf-8"
) as f:
json.dump(
url_data, f, ensure_ascii=False, indent=4
)
st.session_state.url_flow1 = url_flow1
else:
st.error("请填写用户写作！")
with col2:
if st.button(
"保存此组提示词", use_container_width=True, type="primary"
):
if "{prompt}" in positive:
style_data.update(
{name: {"positive": positive, "negative": negative}}
)
with open(
f"{path}/config/style.json", "w", encoding="utf-8"
) as f:
json.dump(style_data, f, ensure_ascii=False, indent=4)
else:
st.error("请预留 {prompt} 作为用户输入占位符！")
# 加载图片
st.write("")
with st.container(border=True):
if "url_flow1" in st.session_state:
col3, col4, col5, col6, col7 = st.columns(5)
num_images = len(st.session_state.url_flow1)
for i in range(num_images):
if i % 5 == 0:
col = col3
elif i % 5 == 1:
col = col4
elif i % 5 == 2:
col = col5
elif i % 5 == 3:
col = col6
elif i % 5 == 4:
col = col7
with col:
try:
st.image(st.session_state.url_flow1[i])
except:
st.write("此图片生成失败！")
if choose == "现有提示词":
with st.expander(
"**现有提示词**", expanded=True, icon=":material/construction:"
):
rows = [
[key, prompt["positive"], prompt["negative"]]
for key, prompt in style_data.items()
]
datas = pd.DataFrame(
rows, columns=["提示词名称", "正向提示词", "负向提示词"]
)
datas = st.data_editor(datas, num_rows="dynamic", height=248)
col3, col4, col5, col6, col7 = st.columns(5)
with col3:
if st.button("保存修改", use_container_width=True, type="primary"):
style_data = {
row[0]: {"positive": row[1], "negative": row[2]}
for row in datas.values
}
with open(f"{path}/config/style.json", "w", encoding="utf-8") as f:
json.dump(style_data, f, ensure_ascii=False, indent=4)
with st.container(border=True):
style = st.selectbox("选择测试风格", style_data.keys())
col3, col4, col5, col6, col7 = st.columns(5)
with col3:
if st.button("测试效果", use_container_width=True, type="primary"):
if user_prompt != "\n" and user_prompt is not None:
with st.spinner("请等待..."):
url_flow2 = []
for i in range(num):
json_data = json_input_flow2(
user_prompt, gender, age, style
) # 发送的json数据
respond = get_url(json_data) # 接收的json数据
url_flow2.append(respond["image_url"]) # 保存URL
time.sleep(0.01)
current_time = datetime.datetime.now().strftime(
"%Y/%m/%d %H:%M:%S"
)
current_time = current_time + f"【{str(i+1)}】"
url_data["flow2"].update(
{current_time: respond["image_url"]}
)
with open(
f"{path}/config/url.json", "w", encoding="utf-8"
) as f:
json.dump(url_data, f, ensure_ascii=False, indent=4)
st.session_state.url_flow2 = url_flow2
else:
st.error("请填写用户写作！")
# 加载图片
with st.container(border=True):
if "url_flow2" in st.session_state:
col3, col4, col5, col6, col7 = st.columns(5)
num_images = len(st.session_state.url_flow2)
for i in range(num_images):
if i % 5 == 0:
col = col3
elif i % 5 == 1:
col = col4
elif i % 5 == 2:
col = col5
elif i % 5 == 3:
col = col6
elif i % 5 == 4:
col = col7
with col:
try:
st.image(st.session_state.url_flow2[i])
except:
st.write("此图片生成失败！")
if choose == "所有数据":
flow = st.selectbox(
"选择要查看的测试数据", ["工作流1 - 调整提示词", "工作流2 - 现有提示词"]
)
if flow == "工作流1 - 调整提示词":
row_flow1 = [[key, url] for key, url in url_data["flow1"].items()]
row_flow1 = sorted(row_flow1, key=lambda x: x[0], reverse=True)
data_flow1 = pd.DataFrame(row_flow1, columns=["时间", "URL"])
st.dataframe(data_flow1, use_container_width=True, hide_index=True)
if flow == "工作流2 - 现有提示词":
row_flow2 = [[key, url] for key, url in url_data["flow2"].items()]
row_flow2 = sorted(row_flow2, key=lambda x: x[0], reverse=True)
data_flow2 = pd.DataFrame(row_flow2, columns=["时间", "URL"])
st.dataframe(data_flow2, use_container_width=True, hide_index=True)
st.info("由于后期数据太多，请自行复制链接查看！")
else:
st.error("在左侧填写密钥后使用！")