File size: 3,520 Bytes
4dd70a8
 
f8a041b
 
 
 
4dd70a8
e249170
9e8809b
 
4dd70a8
fb7ecc7
 
 
9e8809b
 
f8a041b
 
 
9e8809b
 
f8a041b
6c67813
f8a041b
 
 
 
 
 
 
00764df
f8a041b
 
 
6c67813
f8a041b
 
4dd70a8
 
9e8809b
e249170
 
9e8809b
 
a3e696b
e249170
a3e696b
9e8809b
 
 
 
5dd5c65
 
9e8809b
4dd70a8
9e8809b
e249170
00764df
e249170
8863982
e249170
 
 
 
 
687d26a
8863982
cade3d1
f8a041b
4dd70a8
 
cade3d1
e249170
2e66273
 
 
 
 
 
 
 
 
 
e249170
 
2e66273
 
 
 
cade3d1
2e66273
cade3d1
2e66273
 
cade3d1
 
 
2e66273
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e66e891
 
 
 
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
'''Main script to run gradio interface and MCP server.'''

import logging
from pathlib import Path
from logging.handlers import RotatingFileHandler

import gradio as gr
import assets.text as text
import functions.tools as tool_funcs
import functions.gradio_functions as gradio_funcs

# Call the modal container so it spins up before the rest of
# the app starts
gradio_funcs.call_modal()

# Set-up logging
# Make sure log directory exists
Path('logs').mkdir(parents=True, exist_ok=True)

# Clear old logs if present
gradio_funcs.delete_old_logs('logs', 'rss_server')

# Set up the root logger so we catch logs from everything
logging.basicConfig(
    handlers=[RotatingFileHandler(
        'logs/rss_server.log',
        maxBytes=100000,
        backupCount=10,
        mode='w'
    )],
    level=logging.INFO,
    format='%(levelname)s - %(name)s - %(message)s'
)

# Get a logger
logger = logging.getLogger(__name__)

with gr.Blocks() as demo:

    # Page text
    gr.HTML(text.TITLE)
    gr.Markdown(text.DESCRIPTION)

    # Log output
    with gr.Row():
        dialog_output = gr.Textbox(label='Server logs', lines=7, max_lines=5)

    timer = gr.Timer(0.5, active=True)

    timer.tick( # pylint: disable=no-member
        lambda: gradio_funcs.update_log(), # pylint: disable=unnecessary-lambda
        outputs=dialog_output,
        show_api=False
    )

    # Get feed tool
    gr.Markdown('### 1. `get_feed()`')
    website_url = gr.Textbox('hackernews.com', label='Website')
    feed_output = gr.Textbox(label='RSS entries', lines=7, max_lines=7)

    with gr.Row():
        website_submit_button = gr.Button('Submit website')
        website_clear_button = gr.ClearButton(components=[website_url, feed_output])

    website_submit_button.click( # pylint: disable=no-member
        fn=tool_funcs.get_feed,
        inputs=website_url,
        outputs=feed_output,
        api_name='Get RSS feed content'
    )

    # Vector search tool
    gr.Markdown('### 2. `context_search()`')

    context_search_query = gr.Textbox(
        'Does apple offer parental controls?',
        label='Context search query'
    )
    context_search_output = gr.Textbox(
        label='Context search results',
        lines=7,
        max_lines=7
    )

    with gr.Row():
        context_search_submit_button = gr.Button('Submit query')
        context_search_clear_button = gr.ClearButton(
            components=[context_search_query, context_search_output]
        )

    context_search_submit_button.click( # pylint: disable=no-member
        fn=tool_funcs.context_search,
        inputs=context_search_query,
        outputs=context_search_output,
        api_name='Context vector search'
    )

    # Find article tool
    gr.Markdown('### 3. `find_article()`')

    article_search_query = gr.Textbox(
        'Does apple offer parental controls?',
        label='Article search query'
    )
    article_search_output = gr.Textbox(
        label='Article search results',
        lines=7,
        max_lines=7
    )

    with gr.Row():
        article_search_submit_button = gr.Button('Submit query')
        article_search_clear_button = gr.ClearButton(
            components=[article_search_query, article_search_output]
        )

    article_search_submit_button.click( # pylint: disable=no-member
        fn=tool_funcs.find_article,
        inputs=article_search_query,
        outputs=article_search_output,
        api_name='Article vector search'
    )


if __name__ == '__main__':

    demo.launch(mcp_server=True)