File size: 6,223 Bytes
f339dfa | 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 | import os
import uuid
from datetime import datetime, timezone
import gradio as gr
from azure.cosmos import CosmosClient, PartitionKey
from azure.cosmos.exceptions import CosmosHttpResponseError
from dotenv import load_dotenv
load_dotenv()
def _get_env(name: str) -> str:
value = os.getenv(name, "").strip()
return value
def get_container():
endpoint = _get_env("COSMOS_ENDPOINT")
key = _get_env("COSMOS_KEY")
db_name = _get_env("COSMOS_DATABASE")
container_name = _get_env("COSMOS_CONTAINER")
if not all([endpoint, key, db_name, container_name]):
missing = [
k
for k in [
"COSMOS_ENDPOINT",
"COSMOS_KEY",
"COSMOS_DATABASE",
"COSMOS_CONTAINER",
]
if not _get_env(k)
]
raise ValueError(
"Missing Cosmos configuration: " + ", ".join(missing)
)
client = CosmosClient(endpoint, credential=key)
database = client.create_database_if_not_exists(id=db_name)
container = database.create_container_if_not_exists(
id=container_name,
partition_key=PartitionKey(path="/id"),
)
return container
_container_cache = None
def submit_feedback(name, team, assistant_type, submit_anonymous, do_text, dont_text):
name = (name or "").strip()
team = (team or "").strip()
assistant_type = (assistant_type or "").strip()
do_text = (do_text or "").strip()
dont_text = (dont_text or "").strip()
if not do_text and not dont_text:
return (
(
"<div style=\"padding:14px 16px;border-radius:8px;"
"background:#ffe9e9;color:#7a1d1d;border:1px solid #f2bcbc;"
"font-weight:600;\">Please enter a Dos or a Don'ts (or both) before submitting.</div>"
),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
if submit_anonymous:
name = ""
team = ""
global _container_cache
try:
if _container_cache is None:
_container_cache = get_container()
item = {
"id": str(uuid.uuid4()),
"created_at": datetime.now(timezone.utc).isoformat(),
"name": name or None,
"team": team or None,
"assistant_type": assistant_type or None,
"do": do_text or None,
"dont": dont_text or None,
}
_container_cache.create_item(body=item)
except ValueError as exc:
return (
(
"<div style=\"padding:14px 16px;border-radius:8px;"
"background:#ffe9e9;color:#7a1d1d;border:1px solid #f2bcbc;"
f"font-weight:600;\">Configuration error: {exc}</div>"
),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
except CosmosHttpResponseError as exc:
return (
(
"<div style=\"padding:14px 16px;border-radius:8px;"
"background:#ffe9e9;color:#7a1d1d;border:1px solid #f2bcbc;"
f"font-weight:600;\">Cosmos DB error: {exc.message}</div>"
),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
except Exception as exc: # noqa: BLE001
return (
(
"<div style=\"padding:14px 16px;border-radius:8px;"
"background:#ffe9e9;color:#7a1d1d;border:1px solid #f2bcbc;"
f"font-weight:600;\">Unexpected error: {exc}</div>"
),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
gr.update(),
)
return (
(
"<div style=\"padding:16px 18px;border-radius:10px;"
"background:#e8f7ee;color:#0f5b2f;border:1px solid #bfe5cc;"
"font-weight:700;font-size:16px;\">✅ Saved! Thanks for your feedback.</div>"
),
gr.update(value=""),
gr.update(value=""),
gr.update(value="General"),
gr.update(value=False),
gr.update(value=""),
gr.update(value=""),
)
with gr.Blocks(title="AI Assistant Do/Don't Collection") as demo:
gr.Markdown(
"# AI Assistant Do/Don't Collection\n"
"Share guidance for building our AI assistants. You can fill either field or both."
)
with gr.Row():
name_input = gr.Textbox(label="Your name (optional)", placeholder="Jane Doe")
team_input = gr.Textbox(label="Team / Org (optional)", placeholder="Product, IT, ...")
assistant_type_input = gr.Dropdown(
label="Assistant type (optional)",
choices=[
"General",
"Resiliency Programs (WFPH, FORTIFIED, ..)",
"Communication",
"Code and Standards",
"Internal Ops",
"Research",
],
value="General",
)
submit_anonymous_input = gr.Checkbox(
label="Submit anonymously (ignore name and team)",
value=False,
)
do_input = gr.Textbox(
label="Dos",
placeholder="What should we consider when creating AI assistants?",
lines=6,
)
dont_input = gr.Textbox(
label="Don'ts",
placeholder="What should we avoid when creating AI assistants?",
lines=6,
)
submit_btn = gr.Button("Submit")
status = gr.HTML()
submit_btn.click(
fn=submit_feedback,
inputs=[
name_input,
team_input,
assistant_type_input,
submit_anonymous_input,
do_input,
dont_input,
],
outputs=[
status,
name_input,
team_input,
assistant_type_input,
submit_anonymous_input,
do_input,
dont_input,
],
)
if __name__ == "__main__":
demo.launch()
|