Hugging Face's logo

Spaces:
yeelou
/
Alert_Demo
Sleeping

App Files Community
Alert_Demo
File size: 7,007 Bytes 
eae8f54
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
import json

from prompts import load_dict
from request_gpt import chat_completion_request

prompt_dict = load_dict()

show = True


def company_analysis(ex_t_rnd, risk_dict, company_info, model):
    messages = []
    messages.append({"role": "system", "content": prompt_dict["com_sys_msg"]})
    messages.append(
        {
            "role": "user",
            "content": prompt_dict["com_usr_msg"].format(
                c1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["company_info"],
                r1=prompt_dict["company_risk_list"],
                o1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["risk_list"],
                c2=company_info,
                r2=risk_dict,
            ),
        }
    )
    com_response = chat_completion_request(
        messages, model=model, name="com_response", show=show
    )
    return com_response


def risk_old(news_text, company_info, com_risk, ex_t_rnd, ex_f_rnd, model):
    messages = []
    messages.append({"role": "system", "content": prompt_dict["risk_sys_msg"]})
    messages.append(
        {
            "role": "user",
            "content": prompt_dict["risk_usr_msg"].format(
                n1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["news"],
                c1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["company_info"],
                r1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["risk_list"],
                o1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["risk"],
                n2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["news"],
                c2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["company_info"],
                r2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["risk_list"],
                o2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["risk"],
                n3=prompt_dict["risk_ex_f"][f"ex{ex_f_rnd[0]}"]["news"],
                c3=prompt_dict["risk_ex_f"][f"ex{ex_f_rnd[0]}"]["company_info"],
                r3=prompt_dict["risk_ex_f"][f"ex{ex_f_rnd[0]}"]["risk_list"],
                o3=prompt_dict["risk_ex_f"][f"ex{ex_f_rnd[0]}"]["risk"],
                n4=news_text,
                c4=company_info,
                r4=json.dumps(com_risk, ensure_ascii=False),
            ),
        }
    )
    risk_response = chat_completion_request(
        messages, model=model, name="risk_response", show=show
    )
    return risk_response


def risk(news_text, company_info, com_risk, ex_t_rnd, ex_f_rnd, model):
    messages = []
    messages.append({"role": "system", "content": prompt_dict["risk_sys_msg"]})
    messages.append(
        {
            "role": "user",
            "content": prompt_dict["risk_usr_msg"].format(
                n1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["news"],
                c1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["company_info"],
                r1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["risk_list"],
                o1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["risk"],
                n3=prompt_dict["risk_ex_f"][f"ex{ex_f_rnd[0]}"]["news"],
                c3=prompt_dict["risk_ex_f"][f"ex{ex_f_rnd[0]}"]["company_info"],
                r3=prompt_dict["risk_ex_f"][f"ex{ex_f_rnd[0]}"]["risk_list"],
                o3=prompt_dict["risk_ex_f"][f"ex{ex_f_rnd[0]}"]["risk"],
                n4=news_text,
                c4=company_info,
                r4=json.dumps(com_risk, ensure_ascii=False),
            ),
        }
    )
    risk_response = chat_completion_request(
        messages, model=model, name="risk_response", show=show
    )
    return risk_response


def title(news_text, company_info, ex_t_rnd, risk, model):
    messages = []
    messages.append({"role": "system", "content": prompt_dict["risk_sys_msg"]})
    messages.append(
        {
            "role": "user",
            "content": prompt_dict["title_usr_msg"].format(
                risk=risk,
                n1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["news"],
                c1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["company_info"],
                o1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["title"],
                n2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["news"],
                c2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["company_info"],
                o2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["title"],
                n3=news_text,
                c3=company_info,
            ),
        }
    )
    title_response = chat_completion_request(
        messages, model=model, name="title_response", show=show
    )
    return title_response


def summary(news_text, ex_t_rnd, model):
    messages = []
    messages.append({"role": "system", "content": prompt_dict["risk_sys_msg"]})
    messages.append(
        {
            "role": "user",
            "content": prompt_dict["summary_usr_msg"].format(
                n1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["news"],
                o1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["summary"],
                n2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["news"],
                o2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["summary"],
                n3=news_text,
            ),
        }
    )
    summary_response = chat_completion_request(
        messages, model=model, name="summary_response", show=show
    )
    return summary_response


def alert(news_text, company_info, ex_t_rnd, risk, model):
    messages = []
    messages.append({"role": "system", "content": prompt_dict["risk_sys_msg"]})
    messages.append(
        {
            "role": "user",
            "content": prompt_dict["alert_usr_msg"].format(
                risk=risk,
                n1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["news"],
                c1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["company_info"],
                o1=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[0]}"]["alert"],
                n2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["news"],
                c2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["company_info"],
                o2=prompt_dict["risk_ex_t"][f"ex{ex_t_rnd[1]}"]["alert"],
                n3=news_text,
                c3=company_info,
            ),
        }
    )
    alert_response = chat_completion_request(
        messages, model=model, name="alert_response", show=show
    )
    return alert_response


def translate(report_dict, model):
    messages = []
    messages.append({"role": "system", "content": prompt_dict["translate_sys_msg"]})
    messages.append(
        {
            "role": "user",
            "content": prompt_dict["translate_usr_msg"].format(
                dictionary=json.dumps(report_dict, ensure_ascii=False)
            ),
        }
    )
    translate_response = chat_completion_request(
        messages, model=model, name="translate_response", show=show
    )
    return translate_response