File size: 4,745 Bytes
829f184
91a314b
6b3d94e
cc9698d
0468ba6
f4de003
88c0d7a
e90a597
91a314b
829f184
88c0d7a
 
91a314b
 
 
 
 
 
 
 
 
 
829f184
91a314b
 
 
9447f48
123222c
 
040a7a9
0468ba6
040a7a9
 
 
 
9447f48
123222c
9447f48
 
 
 
 
91a314b
768f592
91a314b
 
 
88c0d7a
829f184
91a314b
 
6085307
65e42f5
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
433862c
 
8d8ecfd
433862c
fba47b5
 
433862c
1c49ec4
 
ba7c97e
 
 
 
 
 
 
7f63595
bca9727
1c49ec4
 
 
ba7c97e
 
1c49ec4
433862c
 
 
65e42f5
 
 
433862c
91a314b
3b94099
079956f
433862c
65e42f5
 
433862c
 
079956f
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
import streamlit as st
import pandas as pd
import openai
import os
import instructions


# OpenAI API ์„ค์ •
openai.api_key = os.getenv("OPENAI_API_KEY")

st.set_page_config(layout="wide")

# ํŒŒ์ผ ์—…๋กœ๋“œ ๋ฐ ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ ํ•จ์ˆ˜
def upload_and_process_file():
    uploaded_file = st.file_uploader("์ด์ „ ์ƒํ™œ๊ธฐ๋ก๋ถ€ ํŒŒ์ผ ์—…๋กœ๋“œ", type=['csv', 'json'])
    if uploaded_file is not None:
        if uploaded_file.type == 'text/csv':
            data = pd.read_csv(uploaded_file)
        elif uploaded_file.type == 'application/json':
            data = pd.read_json(uploaded_file)
        return data
    return None

# ์ƒํ™œ๊ธฐ๋ก๋ถ€ ๋ฌธ๊ตฌ ์ƒ์„ฑ ํ•จ์ˆ˜
def generate_living_record(data):
    data_str = str(data)
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo-16k",
        messages=[
            {"role": "system", 
             "content": instructions.instruction
            },
            {"role": "user", 
             "content": data_str
            }
        ],
        temperature=0.7,
        max_tokens=10000,
        top_p=1,
        frequency_penalty=0,
        presence_penalty=0
    )
    return response.choices[0].message.content

# Streamlit ์•ฑ ๊ตฌ์„ฑ
st.title("์ƒํ™œ๊ธฐ๋ก๋ถ€ ์ƒ์„ฑ ์„œ๋น„์Šค")
st.write("์ด์ „ ์ƒํ™œ๊ธฐ๋ก๋ถ€ ํŒŒ์ผ์„ ์—…๋กœ๋“œํ•˜๊ฑฐ๋‚˜, ์ง์ ‘ ์ƒํ™œ๊ธฐ๋ก๋ถ€ ๋‚ด์šฉ์„ ์ž…๋ ฅํ•˜์„ธ์š”.")
st.write("GPT๋Š” ์‹ค์ˆ˜ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์›ํ•˜๋Š” ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜์˜ค์ง€ ์•Š๋Š”๋‹ค๋ฉด ์ƒ์„ฑ ๋ฒ„ํŠผ์„ ๋‹ค์‹œ ๋ˆŒ๋Ÿฌ๋ณด์„ธ์š”.")

# ํŒŒ์ผ ์—…๋กœ๋“œ ๊ธฐ๋Šฅ
uploaded_data = upload_and_process_file()

#์˜ˆ์‹œ ํ‚ค์›Œ๋“œ
attitude_keywords = [
        "์ง‘์ค‘๋ ฅ", "๊ณผ์ œ ์ดํ•ด", "๋ฐœํ‘œ", "๋ฌธ์ œ ํ•ด๊ฒฐ๋ ฅ", "๊ณผ์ œ ์ˆ˜ํ–‰", "๊ด€์ฐฐ๋ ฅ",
        "ํƒ๊ตฌ๋ ฅ", "์ž๊ธฐ ์ƒ๊ฐ ํ‘œํ˜„", "๋…ผ๋ฆฌ์  ์‚ฌ๊ณ ๋ ฅ", "์šด๋™์‹ ๊ฒฝ", "ํ˜‘๋™์‹ฌ",
        "๋ฆฌ๋”์‰ฝ", "๋…ผ๋ฆฌ์  ๋น„ํŒ๋ ฅ", "๊ต๊ณผ ํ•™์Šต ์„ฑ์ทจ๋„", "๋ชฉํ‘œ์˜์‹", "๊ธฐ๋ณธ ํ•™์Šต",
        "๋„์ „ ๊ณผ์ œ", "๋ฏธ์  ๊ฐ๊ฐ", "์˜ˆ์ˆ ์  ์žฌ๋Šฅ", "์Œ์•…์  ์žฌ๋Šฅ", "ํ˜ธ๊ธฐ์‹ฌ",
        "์งˆ๋ฌธ", "๋ชจ๋‘ ํ™œ๋™"
    
]
relationship_keywords = [
    "ํ˜‘๋™์„ฑ", "์นœ์ ˆํ•จ", "๊ณต๊ฐ ๋Šฅ๋ ฅ", "์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜", "๋ฆฌ๋”์‹ญ", "๊ฒฝ์Ÿ", "ํ˜‘๋ ฅ",
    "์ธ์ •์š•๊ตฌ", "์˜์‚ฌ์†Œํ†ต ๋ฌธ์ œ", "์‹ ๋ขฐ", "์ƒํ˜ธ์กด์ค‘", "๊ณต์œ ", "์ดํ•ด์‹ฌ", "์นœ๋ฐ€ํ•จ",
    "์ง€์ง€ํ•จ", "๋„์›€", "๋ฐฐ๋ ค", "๊ฑฐ๋ถ€", "๋น„๋ฐ€", "์ž๊ธฐ์ค‘์‹ฌ์ ", "์™ธ๋กœ์›€", "๋น„๋‚œ",
    "๋ฌด๊ด€์‹ฌ", "์งˆํˆฌ", "๊ฐˆ๋“ฑ", "๊ต๋ฅ˜ ํ™œ๋ฐœํ•จ", "์†Œํ†ต ์ž˜ํ•จ", "๋‹ค์ •ํ•จ"
]

personality_keywords = [
    "์ž์‹ ๊ฐ", "์ฑ…์ž„๊ฐ", "ํฌ์šฉ๋ ฅ", "๊ธ์ •์  ํƒœ๋„", "์œ ์—ฐ์„ฑ",
    "๊ฐ์ˆ˜์„ฑ", "์˜ˆ๋ฏผํ•จ", "ํ™œ๋ฐœํ•จ", "์ฐจ๋ถ„ํ•จ", "์ ๊ทน์ ",
    "์†Œ๊ทน์ ", "์ˆ˜์ค์Œ", "๊ฒธ์†ํ•จ", "์ž์‹ ๊ฐ", "์˜์š•์ ",
    "๋ฌด๊ธฐ๋ ฅ", "์„ฑ์‹ค", "์„ฌ์„ธํ•จ", "์‚ฐ๋งŒํ•จ", "์กฐ๊ธ‰ํ•จ",
    "๊ฑฐ์น ๋‹ค", "๊ธ์ •์ ", "์นœ์ ˆํ•จ", "๋ถ„๋…ธ", "์ธ๋‚ด์‹ฌ",
    "๋…๋ฆฝ์ ", "์ƒ์ฒ˜", "์˜จํ™”ํ•จ", "๋”ฐ๋œปํ•จ", "๋ฏธ์†Œ",
    "์žฌ์น˜", "์œ ๋จธ", "์–ต์šธํ•จ", "์šฐ์šธํ•จ", "๋ถ€์ •์ "
]

# ์ปฌ๋Ÿผ ์ƒ์„ฑ
col1, col2 = st.columns(2)

with col1:
    # ์ž…๋ ฅ ํ•„๋“œ ๋™์  ์ƒ์„ฑ ์ „์— ์„ธ์…˜ ์ƒํƒœ ์—…๋ฐ์ดํŠธ
    for i in range(5):
        record_key = f"record_{i}"

        # ์—…๋กœ๋“œ๋œ ๋ฐ์ดํ„ฐ๊ฐ€ ์žˆ๊ณ  ํ•ด๋‹น ์ธ๋ฑ์Šค์— ๋ฐ์ดํ„ฐ๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ
        if uploaded_data is not None and i < len(uploaded_data):
            data_value = uploaded_data.iloc[i, 0]
            if pd.isna(data_value):
                st.session_state[record_key] = ""
            else:
                st.session_state[record_key] = str(data_value)
        elif record_key not in st.session_state:
            st.session_state[record_key] = ""

    # ์œ„์ ฏ ์ƒ์„ฑ
    for i in range(5):
        record_key = f"record_{i}"
        with st.expander(f"์ž…๋ ฅ์ฐฝ {i+1}", expanded=False):
            st.text_area("์ƒํ™œ๊ธฐ๋ก๋ถ€ ๋‚ด์šฉ ์ž…๋ ฅ", key=record_key, height=150, value=st.session_state[record_key])
            
with col2:
    # ํ‚ค์›Œ๋“œ ์„ ํƒ ์˜ต์…˜
    st.write("ํ‚ค์›Œ๋“œ ์„ ํƒ")
    selected_attitude = st.multiselect("ํ•™์Šตํƒœ๋„", attitude_keywords)
    selected_relationship = st.multiselect("๊ต์šฐ๊ด€๊ณ„", relationship_keywords)
    selected_personality = st.multiselect("์„ฑ๊ฒฉ", personality_keywords)

# ๋ฐ์ดํ„ฐ ์ฒ˜๋ฆฌ ๋ฐ ๊ฒฐ๊ณผ ์ถœ๋ ฅ
if st.button("์ƒ์„ฑ"):
    with st.spinner('์ƒ์„ฑ์ค‘...'):
        input_data = "\n".join([st.session_state[f'record_{i}'] for i in range(5) if st.session_state[f'record_{i}']])
        # ํ‚ค์›Œ๋“œ๋ฅผ ์ž…๋ ฅ ๋ฐ์ดํ„ฐ์— ์ถ”๊ฐ€
        keyword_data = " ".join(selected_attitude + selected_relationship + selected_personality)
        full_data = input_data + "\n" + keyword_data
        generated_record = generate_living_record(full_data)
        st.write("์ƒ์„ฑ๋œ ์ƒํ™œ๊ธฐ๋ก๋ถ€:", generated_record)