Spaces:
Sleeping
Sleeping
File size: 16,108 Bytes
5fdb69e |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 |
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "36e0cd9c-6622-4fa9-a4f8-b3da1b9b836e",
"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import json\n",
"from dotenv import load_dotenv\n",
"from openai import OpenAI\n",
"import gradio as gr\n",
"import random\n",
"import re\n",
"import base64\n",
"from io import BytesIO\n",
"from PIL import Image\n",
"from IPython.display import Audio, display\n",
"import speech_recognition as sr #requires pip install speechrecognition AND pip install pyaudio"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "57fc95b9-043c-4a38-83aa-365cc3b285ba",
"metadata": {},
"outputs": [],
"source": [
"load_dotenv()\n",
"\n",
"openai_api_key = os.getenv('OPENAI_API_KEY')\n",
"if openai_api_key:\n",
" print(f\"OpenAI API Key exists and begins with {openai_api_key[:8]}\")\n",
"else:\n",
" print(\"OpenAI API Key? As if!\")\n",
" \n",
"MODEL = \"gpt-4o-mini\"\n",
"openai = OpenAI()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e633ee2a-bbaa-47a4-95ef-b1d8773866aa",
"metadata": {},
"outputs": [],
"source": [
"system_message = \"You are a helpful assistant for an Airline called FlightAI. \"\n",
"system_message += \"Give short, courteous answers, no more than 1 sentence. \"\n",
"system_message += \"Always be accurate. If you don't know the answer, say so. \"\n",
"system_message += \"You can book flights directly. \"\n",
"system_message += \"You can generate beautiful artistic renditions of the cities we fly to.\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c123af78-b5d6-4cc9-8f18-c492b1f30c85",
"metadata": {},
"outputs": [],
"source": [
"# ticket price function\n",
"\n",
"#spelled-out currency notation for better tts rendition\n",
"ticket_prices = {\"valletta\": \"799 Dollars\", \"turin\": \"899 Dollars\", \"sacramento\": \"1400 Dollars\", \"montreal\": \"499 Dollars\"}\n",
"\n",
"def get_ticket_price(destination_city):\n",
" print(f\"Tool get_ticket_price called for {destination_city}\")\n",
" city = destination_city.lower()\n",
" return ticket_prices.get(city, \"Unknown\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "00e486fb-709e-4b8e-a029-9e2b225ddc25",
"metadata": {},
"outputs": [],
"source": [
"# travel booking function\n",
"\n",
"def book_flight(destination_city):\n",
" booking_code = ''.join(random.choice('0123456789BCDFXYZ') for i in range(2)) + ''.join(random.choice('012346789HIJKLMNOPQRS') for i in range(2)) + ''.join(random.choice('0123456789GHIJKLMNUOP') for i in range(2))\n",
" print(f\"Booking code {booking_code} generated for flight to {destination_city}.\")\n",
" \n",
" return booking_code"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c0600b4e-fa4e-4c34-b317-fac1e60b5f95",
"metadata": {},
"outputs": [],
"source": [
"# verify if booking code is valid (i.e. follows the pattern)\n",
"\n",
"def check_code(code):\n",
" valid = \"valid\" if re.match(\"^[0123456789BCDFXYZ]{2}[012346789HIJKLMNOPQRS]{2}[0123456789GHIJKLMNUOP]{2}$\", code) != None else \"not valid\"\n",
" print(f\"Code checker called for code {code}, which is {valid}.\")\n",
" return re.match(\"^[0123456789BCDFXYZ]{2}[012346789HIJKLMNOPQRS]{2}[0123456789GHIJKLMNUOP]{2}$\", code) != None"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e1d1b1c2-089c-41e5-b1bd-900632271093",
"metadata": {},
"outputs": [],
"source": [
"# make a nice preview of the travel destination\n",
"\n",
"def artist(city):\n",
" image_response = openai.images.generate(\n",
" model=\"dall-e-3\",\n",
" prompt=f\"Make an image in the style of a vibrant, artistically filtered photo that is a collage of the best sights and views in {city}.\",\n",
" size=\"1024x1024\",\n",
" n=1,\n",
" response_format=\"b64_json\",\n",
" )\n",
" image_base64 = image_response.data[0].b64_json\n",
" image_data = base64.b64decode(image_base64)\n",
" img = Image.open(BytesIO(image_data))\n",
"\n",
" img.save(\"img001.png\") #make them 4 cents count! .save is from PIL library, btw\n",
" \n",
" return img"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "626d99af-90de-4594-9ffd-b87a8b6ef4fd",
"metadata": {},
"outputs": [],
"source": [
"price_function = {\n",
" \"name\": \"get_ticket_price\",\n",
" \"description\": \"Get the price of a return ticket to the destination city. Call this whenever you need to know the ticket price, for example when a customer asks 'How much is a ticket to this city'\",\n",
" \"parameters\": {\n",
" \"type\": \"object\",\n",
" \"properties\": {\n",
" \"destination_city\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"The city that the customer wants to travel to\",\n",
" },\n",
" },\n",
" \"required\": [\"destination_city\"],\n",
" \"additionalProperties\": False\n",
" }\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6e7bc09c-665b-4885-823c-f145cefe8c23",
"metadata": {},
"outputs": [],
"source": [
"booking_function = {\n",
" \"name\": \"book_flight\",\n",
" \"description\": \"Call this whenever you have to book a flight. Give it the destination city and you will get a booking code. Tell the customer \\\n",
"that the flight is booked and give them the booking code obtained through this function. Never give any other codes to the customer.\",\n",
" \"parameters\": {\n",
" \"type\": \"object\",\n",
" \"properties\": {\n",
" \"destination_city\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"The city that the customer wants to book their flight to\",\n",
" },\n",
" },\n",
" \"required\": [\"destination_city\"],\n",
" \"additionalProperties\": False\n",
" }\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cc365d87-fed2-41ff-9232-850fdce1cff2",
"metadata": {},
"outputs": [],
"source": [
"artist_function = {\n",
" \"name\": \"artist\",\n",
" \"description\": \"Call this whenever you need to generate a picture, photo, or graphic impression of a city.\",\n",
" \"parameters\": {\n",
" \"type\": \"object\",\n",
" \"properties\": {\n",
" \"city\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"The city of which an image is to be generated\",\n",
" },\n",
" },\n",
" \"required\": [\"city\"],\n",
" \"additionalProperties\": False\n",
" }\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "99b0a0e3-db44-49f9-8d27-349b9f04c680",
"metadata": {},
"outputs": [],
"source": [
"codecheck_function = {\n",
" \"name\": \"check_code\",\n",
" \"description\": \"Call this whenever you need to verify if a booking code for a flight (also called 'flight code', 'booking reference', \\\n",
"or variations thereof) is valid.\",\n",
" \"parameters\": {\n",
" \"type\": \"object\",\n",
" \"properties\": {\n",
" \"code\": {\n",
" \"type\": \"string\",\n",
" \"description\": \"The code that you or the user needs to verify\",\n",
" },\n",
" },\n",
" \"required\": [\"code\"],\n",
" \"additionalProperties\": False\n",
" }\n",
"}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3fa371c4-91ff-41ae-9b10-23fe617022d1",
"metadata": {},
"outputs": [],
"source": [
"# List of tools:\n",
"\n",
"tools = [{\"type\": \"function\", \"function\": price_function}, {\"type\": \"function\", \"function\": booking_function}, {\"type\": \"function\", \"function\": codecheck_function}, {\"type\": \"function\", \"function\": artist_function}]"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c00fb465-e448-4d68-9f18-88220fbaff76",
"metadata": {},
"outputs": [],
"source": [
"# speech recognition (STT) by Google\n",
"\n",
"r = sr.Recognizer()\n",
"\n",
"def speech_to_text():\n",
" try:\n",
" with sr.Microphone() as source:\n",
" r.adjust_for_ambient_noise(source, duration=0.2)\n",
" speech = r.listen(source, 10, 5) #timeout of 10 seconds, listen for 5\n",
" text = r.recognize_google(speech)\n",
" print(f\"STT heard: \\\"{text}\\\"\")\n",
" return text\n",
"\n",
" # sometimes, this STT fails. You'll see \"...\" as your input. Just try again even w/o re-starting Gradio.\n",
" except sr.RequestError as e:\n",
" print(f\"Could not request results; {0}\".format(e))\n",
" return \"…\"\n",
" except sr.UnknownValueError:\n",
" print(\"An unknown error occurred\")\n",
" return \"…\"\n",
" except sr.WaitTimeoutError:\n",
" print(\"Wait timed out\")\n",
" return \"…\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "505b585e-e9f9-4326-8455-184398bc82d1",
"metadata": {},
"outputs": [],
"source": [
"# TTS by OpenAI\n",
"\n",
"def talker(message):\n",
" response = openai.audio.speech.create(\n",
" model=\"tts-1\",\n",
" voice=\"onyx\",\n",
" input=message)\n",
"\n",
" audio_stream = BytesIO(response.content)\n",
" output_filename = \"output_audio.mp3\"\n",
" with open(output_filename, \"wb\") as f:\n",
" f.write(audio_stream.read())\n",
"\n",
" # Play the generated audio\n",
" display(Audio(output_filename, autoplay=True))"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4d34942a-f0c7-4835-ba07-746104a8c524",
"metadata": {},
"outputs": [],
"source": [
"def chat(history):\n",
" messages = [{\"role\": \"system\", \"content\": system_message}] + history\n",
" response = openai.chat.completions.create(model=MODEL, messages=messages, tools=tools)\n",
" image = None\n",
" \n",
" if response.choices[0].finish_reason==\"tool_calls\":\n",
" message = response.choices[0].message\n",
" responses = handle_tool_call(message)[0]\n",
" image = handle_tool_call(message)[1]\n",
" messages.append(message)\n",
" for response in responses:\n",
" messages.append(response)\n",
" response = openai.chat.completions.create(model=MODEL, messages=messages)\n",
" \n",
" reply = response.choices[0].message.content\n",
"\n",
" # comment in if you want the replies read out to you. Mind the price!\n",
" #talker(reply) #current cost: $0.015 per 1000 characters (not tokens!)\n",
" \n",
" history += [{\"role\": \"assistant\", \"content\": reply}]\n",
" \n",
" return history, image"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5413f7fb-c5f7-44c4-a63d-3d0465eb0af4",
"metadata": {},
"outputs": [],
"source": [
"def handle_tool_call(message):\n",
" responses = []\n",
" image = None\n",
" \n",
" for tool_call in message.tool_calls:\n",
" arguments = json.loads(tool_call.function.arguments)\n",
" indata = arguments[list(arguments.keys())[0]] # works for now because we only have one argument in each of our functions\n",
" function_name = tool_call.function.name\n",
" if function_name == 'get_ticket_price':\n",
" outdata = get_ticket_price(indata)\n",
" input_name = \"destination city\"\n",
" output_name = \"price\"\n",
" elif function_name == 'book_flight':\n",
" outdata = book_flight(indata)\n",
" input_name = \"destination city\"\n",
" output_name = \"booking code\"\n",
" elif function_name == \"check_code\":\n",
" outdata = check_code(indata)\n",
" input_name = \"booking code\"\n",
" output_name = \"validity\"\n",
" elif function_name == \"artist\":\n",
" image = artist(indata)\n",
" outdata = f\"artistic rendition of {indata}\"\n",
" input_name = \"city\"\n",
" output_name = \"image\"\n",
"\n",
" responses.append({\n",
" \"role\": \"tool\",\n",
" \"content\": json.dumps({input_name: indata, output_name: outdata}),\n",
" \"tool_call_id\": tool_call.id\n",
" })\n",
"\n",
" return responses, image"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a5a31bcf-71d5-4537-a7bf-92385dc6e26e",
"metadata": {
"scrolled": true
},
"outputs": [],
"source": [
"## Gradio with 'fancy' buttons. Claude explained this css business to me, and geeksforgeeks.\n",
"## see week2/community-contributions/day5_Careerhelper.ipynb for a much more competent version of this.\n",
"\n",
"with gr.Blocks(\n",
" css=\"\"\"\n",
" .red-button {\n",
" background-color: darkred !important;\n",
" border-color: red !important;\n",
" }\n",
" .blue-button {\n",
" background-color: darkblue !important;\n",
" border-color: blue !important;\n",
" }\n",
" \"\"\"\n",
") as ui:\n",
" with gr.Row():\n",
" chatbot = gr.Chatbot(height=500, type=\"messages\")\n",
" image_output = gr.Image(height=500)\n",
" with gr.Row():\n",
" entry = gr.Textbox(label=\"Chat with our AI Assistant:\")\n",
" with gr.Row():\n",
" speak = gr.Button(value=\"Speak to our AI Assistant\", elem_classes=\"blue-button\")\n",
" clear = gr.Button(value=\"Clear Chat\", elem_classes=\"red-button\")\n",
"\n",
" def do_entry(message, history):\n",
" history += [{\"role\":\"user\", \"content\":message}]\n",
" return \"\", history\n",
"\n",
" def listen(history):\n",
" message = speech_to_text()\n",
" history += [{\"role\":\"user\", \"content\":message}]\n",
" return history\n",
"\n",
" entry.submit(do_entry, inputs=[entry, chatbot], outputs=[entry, chatbot]).then(\n",
" chat, inputs=chatbot, outputs=[chatbot, image_output]\n",
" )\n",
" \n",
" clear.click(lambda: None, inputs=None, outputs=chatbot, queue=False)\n",
" \n",
" speak.click(listen, inputs=chatbot, outputs=chatbot, queue=False).then(\n",
" chat, inputs=chatbot, outputs=[chatbot, image_output]\n",
" )\n",
"\n",
"ui.launch(inbrowser=True)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.11"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|