Hugging Face's logo

Spaces:
SugarAddict
/
MedicalTextClassification
Sleeping

App Files Community
MedicalTextClassification
File size: 2,762 Bytes
df182ba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1c579df
df182ba
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
import numpy as np
import gradio as gr
import random
import time
from updated_predict import working_func

theme = gr.themes.Soft(
    primary_hue="emerald",
    secondary_hue="teal",
    neutral_hue="indigo",
#    text_size="text_lg",
#    radius_size="radius_lg",
).set(
    #body_background_fill='*checkbox_label_background_fill',
    #body_background_fill='*block_title_background_fill',
    body_background_fill='*background_fill_secondary',
    background_fill_primary='*neutral_200',
    block_background_fill='*table_even_background_fill',
    button_border_width='*block_title_border_width',
    button_shadow='*button_shadow_hover'
)


def flip_text(x):
    return x[::-1]


def flip_image(x):
    return np.fliplr(x)

def diagnosed_huxi():
    return "ๅ‘ผๅธ็ง‘"

def diagnosed_shennei():
    return "็ฅž็ปๅ†…็ง‘"

def diagnosed_xiaohua():
    return "ๅ†…็ง‘ ๆถˆๅŒ–็ง‘/่ƒƒ่‚ ็ง‘"

def diagnosed_xinnei():
    return "ๅ†…็ง‘ ๅฟƒ่„ๅ†…็ง‘"
text_output = gr.Textbox(label="็ง‘ๅฎค")

with gr.Blocks(theme=theme) as demo:
    gr.Markdown("ๅŒป็–—ๅˆ†่ฏŠๅŠฉๆ‰‹")
    gr.Image("bar.png")
    with gr.Tab("ๅธธ่ง็–‘้—ฎ"):
        with gr.Row():
              btn1 = gr.Button(value="็™ซ็—ซ")
              btn1.click(diagnosed_shennei, inputs=[], outputs=[text_output])

              btn2 = gr.Button(value="ๅ’ณๅ—ฝ")
              btn2.click(diagnosed_huxi, inputs=[], outputs=[text_output])

              btn3 = gr.Button(value="ๆ„Ÿๅ†’")
              btn3.click(diagnosed_huxi, inputs=[], outputs=[text_output])


        with gr.Row():
              btn4 = gr.Button(value="้ซ˜่ก€ๅŽ‹")
              btn4.click(diagnosed_xinnei, inputs=[], outputs=[text_output])

              btn5 = gr.Button(value="ๅ‘็ƒง")
              btn5.click(diagnosed_huxi, inputs=[], outputs=[text_output])

              btn6 = gr.Button(value="่ƒƒ็‚Ž")
              btn6.click(diagnosed_xiaohua, inputs=[], outputs=[text_output])

        with gr.Row():
            text_output.render()

    with gr.Tab("ๆ‰‹ๅŠจ้”ฎๅ…ฅ"):
        chatbot = gr.Chatbot()
        msg = gr.Textbox(label="่ฏท่พ“ๅ…ฅ็—‡็Šถๆˆ–้—ฎ้ข˜")
        clear = gr.ClearButton([msg, chatbot])
        def respond(message, chat_history):
            result = working_func(message)
            bot_message = "็ง‘ๅฎค๏ผš" + result[0] + ',' + result[1] + '\n' + "ๅ›ž็ญ”๏ผš" + result[2]
            chat_history.append((message, bot_message))
            time.sleep(2)
            return "", chat_history


        msg.submit(respond, [msg, chatbot], [msg, chatbot])

    with gr.Accordion("Open for More!"):
        gr.Markdown("Look at me...")

    #text_button.click(flip_text, inputs=text_input, outputs=text_output)
    #image_button.click(flip_image, inputs=image_input, outputs=image_output)

demo.launch()