Spaces:
Running
Running
File size: 2,155 Bytes
bfd18d6 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 |
import chainlit as cl
from typing import Optional
import time
# Store conversation history
conversation_memory = []
@cl.on_chat_start
async def start():
"""Initializes the chat session"""
# Send an initial message
await cl.Message(
content="👋 Hello! I'm your AI assistant. How can I help you today?",
author="Assistant"
).send()
# Set some session variables
cl.user_session.set("conversation_started", True)
@cl.on_message
async def main(message: cl.Message):
"""Main message handler"""
# Simulate some processing time
with cl.Step("Processing...") as step:
time.sleep(1) # Simulated delay
step.output = "Processed message"
# Store message in conversation history
conversation_memory.append({
"role": "user",
"content": message.content
})
# Create a response
response = f"I received your message: '{message.content}'. This is a demo response."
# Store response in conversation history
conversation_memory.append({
"role": "assistant",
"content": response
})
# Send response with typing effect
await cl.Message(
content=response,
author="Assistant"
).send()
@cl.password_auth_callback
def auth_callback(username: str, password: str) -> Optional[cl.User]:
"""Basic authentication handler"""
# This is a simple example - in production, use proper authentication
if username == "demo" and password == "password":
return cl.User(identifier="demo", metadata={"role": "user"})
return None
@cl.on_chat_end
async def end():
"""Cleanup when chat ends"""
await cl.Message(content="👋 Thank you for chatting! Goodbye!").send()
# Custom action handler example
@cl.action_callback("feedback")
async def on_action(action):
"""Handles custom feedback action"""
await cl.Message(content=f"Received feedback: {action.value}").send()
|