├── Imtiaz AI.css ├── Imtiaz AI.html ├── Imtiaz AI.js ├── MidhunChatBotWithOpenAIAndLangChain.ipynb └── README.md /Imtiaz AI.css: -------------------------------------------------------------------------------- 1 | @import url('https://fonts.googleapis.com/css2?family=Outfit&family=Bree+Serif&family=Caveat:wght@400;700&family=Lobster&family=Monoton&family=Open+Sans:ital,wght@0,400;0,700;1,400;1,700&family=Playfair+Display+SC:ital,wght@0,400;0,700;1,700&family=Playfair+Display:ital,wght@0,400;0,700;1,700&family=Roboto:ital,wght@0,400;0,700;1,400;1,700&family=Source+Sans+Pro:ital,wght@0,400;0,700;1,700&family=Work+Sans:ital,wght@0,400;0,700;1,700&display=swap'); 2 | 3 | body { 4 | margin: 0px; 5 | background: linear-gradient(to right, rgb(0, 0, 0), #1F2937); 6 | } 7 | 8 | * { 9 | font-family: Outfit; 10 | } 11 | 12 | .main-container { 13 | display: flex; 14 | flex-direction: row; 15 | justify-content: space-between; 16 | box-sizing: border-box; 17 | overflow: hidden; 18 | } 19 | 20 | .description-container { 21 | display: flex; 22 | flex-direction: column; 23 | align-self: flex-start; 24 | gap: 54px; 25 | width: 65%; 26 | padding-top: 56px; 27 | padding-bottom: 56px; 28 | padding-left: 56px; 29 | padding-right: 12px; 30 | height: 100vh; 31 | box-sizing: border-box; 32 | } 33 | 34 | .project-details-container { 35 | align-items: flex-start; 36 | display: flex; 37 | flex: none; 38 | flex-direction: column; 39 | flex-wrap: nowrap; 40 | gap: 16px; 41 | height: min-content; 42 | justify-content: flex-start; 43 | overflow: visible; 44 | padding: 0; 45 | position: relative; 46 | width: 100%; 47 | } 48 | 49 | .project-heading { 50 | flex: none; 51 | height: auto; 52 | position: relative; 53 | width: 100%; 54 | } 55 | 56 | .heading { 57 | background-image: url(https://framerusercontent.com/images/2IaeICXvsJApqTXCae1q1dVMVIE.jpg); 58 | background-size: cover; 59 | background-repeat: no-repeat; 60 | background-position: 0% 0%; 61 | background-clip: text; 62 | -webkit-background-clip: text; 63 | -webkit-text-fill-color: transparent; 64 | color: rgb(136, 136, 136); 65 | font-size: 80px; 66 | font-family: Outfit, sans-serif; 67 | font-style: normal; 68 | font-weight: 900; 69 | text-align: left; 70 | letter-spacing: 0px; 71 | white-space: normal; 72 | line-height: 1; 73 | margin: 0px; 74 | padding: 0px 0px 10px; 75 | } 76 | 77 | .project-description { 78 | position: relative; 79 | white-space: pre-wrap; 80 | max-width: 569px; 81 | word-break: break-word; 82 | outline: none; 83 | display: flex; 84 | flex-direction: column; 85 | justify-content: flex-start; 86 | flex-shrink: 0; 87 | transform: none; 88 | } 89 | 90 | .description { 91 | font-family: Outfit, sans-serif; 92 | font-size: 16px; 93 | font-style: normal; 94 | font-weight: 400; 95 | letter-spacing: 0px; 96 | line-height: 24px; 97 | color: rgb(148, 163, 184); 98 | margin: 0px; 99 | } 100 | 101 | .i-have-learnt-section { 102 | align-items: flex-start; 103 | display: flex; 104 | flex: none; 105 | flex-direction: column; 106 | flex-wrap: nowrap; 107 | gap: 16px; 108 | height: min-content; 109 | justify-content: flex-start; 110 | overflow: visible; 111 | padding: 0; 112 | position: relative; 113 | width: 100%; 114 | z-index: 1; 115 | } 116 | 117 | .i-have-learnt { 118 | font-family: Outfit, sans-serif; 119 | font-size: 16px; 120 | font-style: normal; 121 | font-weight: 400; 122 | letter-spacing: 0px; 123 | line-height: 24px; 124 | color: rgb(148, 163, 184); 125 | margin: 0px; 126 | } 127 | 128 | .profile-section { 129 | display: flex; 130 | flex-direction: row; 131 | gap: 16px; 132 | justify-content: flex-start; 133 | align-items: center; 134 | max-width: 1000px; 135 | overflow: visible; 136 | padding: 0; 137 | position: relative; 138 | width: 100%; 139 | } 140 | 141 | .profile-pic-container { 142 | width: 66px; 143 | position: relative; 144 | aspect-ratio: 1 / 1; 145 | height: 66px; 146 | border-radius: 40px; 147 | box-shadow: 0 10px 25px #400363, 0 -5px 25px #008bc7; 148 | } 149 | 150 | .profile-pic { 151 | position: absolute; 152 | top: 0; 153 | bottom: 0; 154 | left: 0; 155 | right: 0; 156 | border-radius: inherit; 157 | } 158 | 159 | .student-pic { 160 | display: block; 161 | width: 100%; 162 | height: 100%; 163 | border-radius: inherit; 164 | object-position: center; 165 | object-fit: cover; 166 | image-rendering: auto; 167 | } 168 | 169 | .profile-info-container { 170 | align-items: flex-start; 171 | display: flex; 172 | flex-direction: column; 173 | gap: 5px; 174 | justify-content: flex-start; 175 | overflow: visible; 176 | padding: 0; 177 | position: relative; 178 | } 179 | 180 | .name { 181 | font-size: 30px; 182 | margin: 0px; 183 | color: white; 184 | font-weight: 600; 185 | } 186 | 187 | .bot-extra-info { 188 | color: rgba(212, 212, 212, 0.6); 189 | margin: 0px; 190 | font-weight: 400; 191 | font-family: Outfit, Sans-Serif; 192 | } 193 | 194 | .topics-list { 195 | align-items: center; 196 | display: flex; 197 | flex: none; 198 | flex-direction: row; 199 | flex-wrap: wrap; 200 | gap: 24px; 201 | height: min-content; 202 | justify-content: flex-start; 203 | overflow: visible; 204 | padding: 0; 205 | position: relative; 206 | width: 100%; 207 | } 208 | 209 | .topic-icon { 210 | box-sizing: border-box; 211 | flex-shrink: 0; 212 | /* width: 64px; 213 | height: 64px; */ 214 | display: flex; 215 | flex-direction: column; 216 | justify-content: flex-start; 217 | align-items: center; 218 | padding: 20px 16px; 219 | /* -webkit-backdrop-filter: blur(10px); */ 220 | /* backdrop-filter: blur(10px); */ 221 | background-color: rgba(30, 41, 59, 0.2); 222 | /* overflow: hidden; */ 223 | position: relative; 224 | align-content: center; 225 | flex-wrap: nowrap; 226 | gap: 0; 227 | border-radius: 16px; 228 | border: 1px solid #1e293b; 229 | opacity: 1; 230 | transform: none; 231 | cursor: pointer; 232 | } 233 | 234 | @keyframes beating { 235 | 0% { 236 | font-size: 10px; 237 | } 238 | 239 | 100% { 240 | font-size: 20px; 241 | } 242 | } 243 | 244 | 245 | .heart-beat { 246 | width: 10px; 247 | height: 10px; 248 | animation: beating 0.8s infinite; 249 | font-size: 10px; 250 | display: inline-flex; 251 | align-items: center; 252 | justify-content: center; 253 | margin-right: 6px; 254 | } 255 | 256 | .footer-section { 257 | display: flex; 258 | align-items: flex-end; 259 | justify-content: flex-start; 260 | gap: 8px; 261 | flex-grow: 1; 262 | flex-wrap: wrap; 263 | } 264 | 265 | .footer-info { 266 | font-family: Outfit, sans-serif; 267 | font-size: 16px; 268 | font-style: normal; 269 | font-weight: 400; 270 | letter-spacing: 0px; 271 | line-height: 24px; 272 | color: rgb(148, 163, 184); 273 | } 274 | 275 | .share-now { 276 | display: flex; 277 | align-items: flex-end; 278 | } 279 | 280 | .icons-container { 281 | height: 100%; 282 | display: flex; 283 | align-items: flex-end; 284 | gap: 16px; 285 | margin-bottom: -4px; 286 | } 287 | 288 | .divider-container { 289 | flex: none; 290 | height: 24px; 291 | position: relative; 292 | width: 2px; 293 | flex-shrink: 0; 294 | fill: rgba(0, 0, 0, 1); 295 | background: rgb(148, 163, 184); 296 | } 297 | 298 | .divider { 299 | width: 100%; 300 | height: 100%; 301 | aspect-ratio: inherit; 302 | } 303 | 304 | .share-now-text { 305 | margin: 0px; 306 | } 307 | 308 | .zoom-svg { 309 | transform: scale(1.5); 310 | /* Zoom the SVG by 1.5 times on hover */ 311 | } 312 | 313 | @media screen and (max-width: 1199px) { 314 | .divider-container { 315 | display: none; 316 | } 317 | 318 | .footer-section { 319 | flex-direction: column; 320 | align-items: flex-start; 321 | justify-content: flex-end; 322 | } 323 | } 324 | 325 | .chat-bot-container { 326 | height: 100vh; 327 | width: 35%; 328 | box-sizing: border-box; 329 | } 330 | 331 | .chat-bot-container-iframe {} 332 | 333 | .social-icon { 334 | cursor: pointer; 335 | } 336 | 337 | .gradio-logo { 338 | width: 26px; 339 | height: 26px; 340 | border-radius: 8px; 341 | } 342 | 343 | .open-ai-logo { 344 | margin: 2px; 345 | } 346 | 347 | .hugging-face-logo { 348 | width: 26px; 349 | height: 26px; 350 | } 351 | 352 | .langchain-logo { 353 | width: 26px; 354 | height: 26px; 355 | border-radius: 8px; 356 | } 357 | 358 | .playht-logo { 359 | width: 26px; 360 | height: 26px; 361 | border-radius: 8px; 362 | } 363 | 364 | .gradio-container { 365 | border: 0px !important; 366 | margin: 0px !important; 367 | height: 100%; 368 | } 369 | 370 | .main { 371 | background: transparent; 372 | height: 100%; 373 | } 374 | 375 | .contain { 376 | height: 100%; 377 | } 378 | 379 | .wrap { 380 | height: 100%; 381 | } 382 | 383 | #component-0 { 384 | height: 100%; 385 | } 386 | 387 | #component-1 { 388 | padding: 0px; 389 | height: 100%; 390 | } 391 | 392 | #component-2 { 393 | height: 100% !important; 394 | } 395 | 396 | .footer-mobile { 397 | display: none; 398 | } 399 | 400 | .footer-desktop { 401 | display: flex; 402 | } 403 | 404 | @media screen and (max-width: 950px) { 405 | body { 406 | background: linear-gradient(to bottom, rgb(0, 0, 0), #1F2937); 407 | } 408 | 409 | .main-container { 410 | flex-direction: column; 411 | } 412 | 413 | .description-container { 414 | width: 100%; 415 | height: 100%; 416 | padding-right: 56px; 417 | } 418 | 419 | .chat-bot-container { 420 | width: 100%; 421 | height: 600px; 422 | padding: unset; 423 | padding-left: 56px; 424 | padding-right: 56px; 425 | padding-bottom: 56px; 426 | box-sizing: border-box; 427 | } 428 | 429 | .footer-desktop { 430 | display: none; 431 | } 432 | 433 | .footer-mobile { 434 | display: flex; 435 | margin-left: 56px; 436 | margin-bottom: 30px; 437 | align-items: center; 438 | } 439 | 440 | .share-now { 441 | flex-direction: column; 442 | align-items: center; 443 | gap: 6px 444 | } 445 | } 446 | 447 | @media screen and (max-width: 576px) { 448 | .description-container { 449 | padding: 32px 24px; 450 | } 451 | 452 | .chat-bot-container { 453 | padding-left: 24px; 454 | padding-right: 24px; 455 | padding-bottom: 32px; 456 | } 457 | } 458 | 459 | 460 | .tooltip { 461 | position: relative; 462 | } 463 | 464 | /* Tooltip text */ 465 | .tooltip .tooltiptext { 466 | visibility: hidden; 467 | width: 120px; 468 | background-color: rgb(148, 163, 184); 469 | color: black; 470 | text-align: center; 471 | padding: 5px 5px; 472 | border-radius: 6px; 473 | position: absolute; 474 | z-index: 70; 475 | top: 40px; 476 | } 477 | 478 | /* Show the tooltip text when you mouse over the tooltip container */ 479 | .tooltip:hover .tooltiptext { 480 | visibility: visible; 481 | } 482 | 483 | .about-section { 484 | color: rgba(212, 212, 212, 0.6); 485 | border-radius: 8px; 486 | border: 1px solid #1e293b; 487 | opacity: 1; 488 | padding: 8px; 489 | margin-top: 20px; 490 | width: 100%; 491 | max-width: 761px; 492 | box-sizing: border-box; 493 | } 494 | 495 | .zoom-svg { 496 | pointer-events: none; 497 | } -------------------------------------------------------------------------------- /Imtiaz AI.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
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Midhun

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19 Years Old | Student |

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My Generative AI

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Imtiaz can be your All-in-One Assistant, from answering questions to engaging in casual conversations

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I've learnt:

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165 | 166 | 167 | 168 | -------------------------------------------------------------------------------- /Imtiaz AI.js: -------------------------------------------------------------------------------- 1 | const socialIconButtons = document.getElementsByClassName("social-icon"); 2 | 3 | function postToSocialMedia(classList) { 4 | const content = `Check out my cool generative AI Project 😎 \n${window.location.href.toString()}`; 5 | if (classList.contains("twitter")) { 6 | const url = `https://twitter.com/intent/tweet?text=${encodeURIComponent( 7 | content 8 | )}`; 9 | window.open(url); 10 | } else if (classList.contains("linkedin")) { 11 | const url = `https://www.linkedin.com/share?text=${encodeURIComponent( 12 | content 13 | )}`; 14 | window.open(url); 15 | } else if (classList.contains("whatsapp")) { 16 | window.open(`https://api.whatsapp.com/send?text=${encodeURIComponent(content)}`); 17 | } 18 | } 19 | 20 | const addEventListenersToSocialIconButton = () => { 21 | for (let i = 0; i < socialIconButtons.length; i++) { 22 | socialIconButtons[i].addEventListener("click", () => 23 | postToSocialMedia(socialIconButtons[i].classList) 24 | ); 25 | } 26 | }; 27 | 28 | addEventListenersToSocialIconButton(); 29 | 30 | const skillIcon = document.getElementsByClassName("tooltip"); 31 | 32 | 33 | const addEventListenersToSkillIcon = () => { 34 | for (let i = 0; i < skillIcon.length; i++) { 35 | skillIcon[i].addEventListener("click", (e) => { 36 | console.log(e.target) 37 | updateDescription(e.target.id); 38 | }); 39 | } 40 | }; 41 | 42 | addEventListenersToSkillIcon(); 43 | 44 | const descriptionDiv = document.getElementsByClassName("about-section"); 45 | const updateDescription = (id) => { 46 | let description = ""; 47 | 48 | switch (id) { 49 | case "googleColab": 50 | description = "Google Colab: User-friendly platform for code writing, execution, and sharing. Beloved by AI experts, students, developers, and researchers for data analysis, ML, and AI exploration."; 51 | break; 52 | case "gradio": 53 | description = "Gradio: A user-friendly tool that allows to create and share interactive Al Apps without extensive Coding Knowledge."; 54 | break; 55 | case "openAi": 56 | description = "OpenAI: An AI-based chat service powered by Open AI's language model. OpenAI APIs offer access to advanced language models and AI capabilities. Integrate NLP, text generation, and more into your apps to revolutionize communication and problem-solving. "; 57 | break; 58 | case "playHt": 59 | description = "PlayHT: PlayHT is a platform that allows you to clone voices using artificial intelligence. The platform uses a deep learning model to train a voice clone that sounds almost exactly like the original voice."; 60 | break; 61 | case "huggingFace": 62 | description = "HuggingFace: The ultimate destination for building, training, and deploying cutting-edge machine learning models! Revolutionize your AI projects with state-of-the-art NLP and more!"; 63 | break; 64 | case "langChain": 65 | description = "LangChain: Seamlessly combine Large Language Models (LLMs) with external computation/data. Build chatbots, analyze data effortlessly. Open source for contributions."; 66 | break; 67 | default: 68 | description = "Description of the selected icon will appear here."; 69 | } 70 | for (let i = 0; i < descriptionDiv.length; i++) { 71 | descriptionDiv[i].textContent = description; 72 | } 73 | }; 74 | 75 | updateDescription("googleColab"); -------------------------------------------------------------------------------- /MidhunChatBotWithOpenAIAndLangChain.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "markdown", 5 | "metadata": { 6 | "id": "VclINVmUGsb1" 7 | }, 8 | "source": [ 9 | "**How to get Open AI API Key?**\n", 10 | "- Go to https://platform.openai.com/account/api-keys\n", 11 | "- Create a new Secret Key\n", 12 | "- Copy the Secret Key for your use." 13 | ] 14 | }, 15 | { 16 | "cell_type": "code", 17 | "execution_count": null, 18 | "metadata": { 19 | "colab": { 20 | "background_save": true, 21 | "base_uri": "https://localhost:8080/" 22 | }, 23 | "collapsed": true, 24 | "id": "SPyLmKojGGwP", 25 | "outputId": "f8d98047-093a-4284-d18e-ee9b14999667" 26 | }, 27 | "outputs": [ 28 | { 29 | "name": "stdout", 30 | "output_type": "stream", 31 | "text": [ 32 | "Requirement already satisfied: langchain in /usr/local/lib/python3.11/dist-packages (0.3.25)\n", 33 | "Requirement already satisfied: langchain-core<1.0.0,>=0.3.58 in /usr/local/lib/python3.11/dist-packages (from langchain) (0.3.59)\n", 34 | "Requirement already satisfied: langchain-text-splitters<1.0.0,>=0.3.8 in /usr/local/lib/python3.11/dist-packages (from langchain) (0.3.8)\n", 35 | "Requirement already satisfied: langsmith<0.4,>=0.1.17 in /usr/local/lib/python3.11/dist-packages (from langchain) (0.3.42)\n", 36 | "Requirement already satisfied: pydantic<3.0.0,>=2.7.4 in /usr/local/lib/python3.11/dist-packages (from langchain) (2.11.4)\n", 37 | "Requirement already satisfied: SQLAlchemy<3,>=1.4 in /usr/local/lib/python3.11/dist-packages (from langchain) 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typing-inspect-0.9.0\n", 234 | "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.11/dist-packages (0.31.1)\n", 235 | "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (3.18.0)\n", 236 | "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2025.3.2)\n", 237 | "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (24.2)\n", 238 | "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (6.0.2)\n", 239 | "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (2.32.3)\n", 240 | "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.67.1)\n", 241 | "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (4.13.2)\n", 242 | "Requirement already satisfied: hf-xet<2.0.0,>=1.1.0 in /usr/local/lib/python3.11/dist-packages (from huggingface_hub) (1.1.0)\n", 243 | "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (3.4.2)\n", 244 | "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (3.10)\n", 245 | "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (2.4.0)\n", 246 | "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->huggingface_hub) (2025.4.26)\n" 247 | ] 248 | } 249 | ], 250 | "source": [ 251 | "!pip install langchain\n", 252 | "!pip install openai\n", 253 | "!pip install gradio\n", 254 | "!pip install langchain_community\n", 255 | "!pip install huggingface_hub" 256 | ] 257 | }, 258 | { 259 | "cell_type": "markdown", 260 | "metadata": { 261 | "id": "JhO7eYfNRGU6" 262 | }, 263 | "source": [ 264 | "\n", 265 | "- Similar to Open AI Mondel we can also use HuggingFace Transformer Models.\n", 266 | "- Reference links: https://python.langchain.com/docs/integrations/providers/huggingface , https://python.langchain.com/docs/integrations/llms/huggingface_hub.html\n", 267 | "\n" 268 | ] 269 | }, 270 | { 271 | "cell_type": "code", 272 | "execution_count": 2, 273 | "metadata": { 274 | "id": "OJfjEJbwGmbI" 275 | }, 276 | "outputs": [], 277 | "source": [ 278 | "import os\n", 279 | "import gradio as gr\n", 280 | "from langchain.chat_models import ChatOpenAI\n", 281 | "from langchain import LLMChain, PromptTemplate\n", 282 | "from langchain.memory import ConversationBufferMemory" 283 | ] 284 | }, 285 | { 286 | "cell_type": "code", 287 | "execution_count": 15, 288 | "metadata": { 289 | "id": "fci9byLAGrW6" 290 | }, 291 | "outputs": [], 292 | "source": [ 293 | "prompt = PromptTemplate(\n", 294 | " input_variables=[\"chat_history\", \"user_message\"], template=template\n", 295 | ")\n", 296 | "\n", 297 | "OPENAI_API_KEY=\"sk-proj-VYbXhlRkAJ0tVUQU0UXST3BlbkFJbbA8flEhAzuQY27WulAJ\"\n", 298 | "os.environ[\"OPENAI_API_KEY\"] = OPENAI_API_KEY" 299 | ] 300 | }, 301 | { 302 | "cell_type": "markdown", 303 | "metadata": { 304 | "id": "Zml50BCveTWy" 305 | }, 306 | "source": [] 307 | }, 308 | { 309 | "cell_type": "code", 310 | "execution_count": 16, 311 | "metadata": { 312 | "colab": { 313 | "base_uri": "https://localhost:8080/" 314 | }, 315 | "id": "IdEV6hMJG4xt", 316 | "outputId": "2ad842cf-c92d-4f03-dc08-0c12b8935683" 317 | }, 318 | "outputs": [ 319 | { 320 | "output_type": "stream", 321 | "name": "stderr", 322 | "text": [ 323 | ":1: LangChainDeprecationWarning: The class `LLMChain` was deprecated in LangChain 0.1.17 and will be removed in 1.0. Use :meth:`~RunnableSequence, e.g., `prompt | llm`` instead.\n", 324 | " llm_chain = LLMChain(\n" 325 | ] 326 | } 327 | ], 328 | "source": [ 329 | "llm_chain = LLMChain(\n", 330 | " llm=ChatOpenAI(temperature='0.5', model_name=\"gpt-3.5-turbo\"),\n", 331 | " prompt=prompt,\n", 332 | " verbose=True,\n", 333 | " memory=memory,\n", 334 | ")" 335 | ] 336 | }, 337 | { 338 | "cell_type": "code", 339 | "execution_count": 5, 340 | "metadata": { 341 | "id": "Wl77cfyIG85T" 342 | }, 343 | "outputs": [], 344 | "source": [ 345 | "def get_text_response(user_message,history):\n", 346 | " response = llm_chain.predict(user_message = user_message)\n", 347 | " return response" 348 | ] 349 | }, 350 | { 351 | "cell_type": "code", 352 | "execution_count": 6, 353 | "metadata": { 354 | "id": "0JxyOMt_HAr-", 355 | "colab": { 356 | "base_uri": "https://localhost:8080/" 357 | }, 358 | "outputId": "4ba2a159-0eb9-48a0-f62e-e19c43511555" 359 | }, 360 | "outputs": [ 361 | { 362 | "output_type": "stream", 363 | "name": "stderr", 364 | "text": [ 365 | "/usr/local/lib/python3.11/dist-packages/gradio/chat_interface.py:338: UserWarning: The 'tuples' format for chatbot messages is deprecated and will be removed in a future version of Gradio. Please set type='messages' instead, which uses openai-style 'role' and 'content' keys.\n", 366 | " self.chatbot = Chatbot(\n" 367 | ] 368 | } 369 | ], 370 | "source": [ 371 | "demo = gr.ChatInterface(get_text_response, examples=[\"How are you doing?\",\"What are your interests?\",\"Sugest me a movie ?\"])" 372 | ] 373 | }, 374 | { 375 | "cell_type": "code", 376 | "execution_count": 7, 377 | "metadata": { 378 | "colab": { 379 | "base_uri": "https://localhost:8080/", 380 | "height": 652 381 | }, 382 | "id": "sWVT_2_KHE2G", 383 | "outputId": "71743f99-1386-4b44-f2e4-769b87bf8f50" 384 | }, 385 | "outputs": [ 386 | { 387 | "output_type": "stream", 388 | "name": "stdout", 389 | "text": [ 390 | "It looks like you are running Gradio on a hosted a Jupyter notebook. For the Gradio app to work, sharing must be enabled. Automatically setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n", 391 | "\n", 392 | "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n", 393 | "* Running on public URL: https://1e968b4100df9cb371.gradio.live\n", 394 | "\n", 395 | "This share link expires in 1 week. For free permanent hosting and GPU upgrades, run `gradio deploy` from the terminal in the working directory to deploy to Hugging Face Spaces (https://huggingface.co/spaces)\n" 396 | ] 397 | }, 398 | { 399 | "output_type": "display_data", 400 | "data": { 401 | "text/plain": [ 402 | "" 403 | ], 404 | "text/html": [ 405 | "
" 406 | ] 407 | }, 408 | "metadata": {} 409 | } 410 | ], 411 | "source": [ 412 | "if __name__ == \"__main__\":\n", 413 | " demo.launch() #To create a public link, set `share=True` in `launch()`. To enable errors and logs, set `debug=True` in `launch()`." 414 | ] 415 | }, 416 | { 417 | "cell_type": "code", 418 | "execution_count": 8, 419 | "metadata": { 420 | "id": "PvYWPZnSQr02" 421 | }, 422 | "outputs": [], 423 | "source": [ 424 | "# from langchain.llms import HuggingFacePipeline\n", 425 | "# hf = HuggingFacePipeline.from_model_id(\n", 426 | "# model_id=\"gpt2\",\n", 427 | "# task=\"text-generation\",)" 428 | ] 429 | }, 430 | { 431 | "cell_type": "markdown", 432 | "metadata": { 433 | "id": "YLLzAlLeIlcF" 434 | }, 435 | "source": [ 436 | "##**Publishing your code to Hugging Face**" 437 | ] 438 | }, 439 | { 440 | "cell_type": "code", 441 | "execution_count": 9, 442 | "metadata": { 443 | "colab": { 444 | "base_uri": "https://localhost:8080/", 445 | "height": 17, 446 | "referenced_widgets": [ 447 | "bd8106806d464e5183e311e09699846c", 448 | "cb65d541529a4ad6a8e36fc7ec88f010", 449 | "f42943748e8b4f82ba83e3f721b51c83", 450 | "b2cc398ac807455783a1053f61ef2259", 451 | "d4fae658ed8b442eaa3f1cf33f5a88e4", 452 | "a7d649c94b9343d6947cddd5952c2db5", 453 | "be0f1f22977e44f7aaa194bb3d737e64", 454 | "dbae5684e6ab458084eaf9f7695d0fdd", 455 | "5af7ca76465241019143dbb17e99513c", 456 | "6deec8f8a2de44e3a62bd6356bb4fdec", 457 | "472410f35448465c9bc787e0c82bd315", 458 | "4b976127614747d28f0442d5367406f8", 459 | "e3ef3b20c8ee47b680a3f9ce01abf962", 460 | "87bf66460f53462eaa4ff30f6cb4c280", 461 | "dafe404f90534606856f0487536a5d37", 462 | "0f49d71a741b4e65af9404a56510feb2", 463 | "8bc4dec4cd20432eba64801a3c15f559", 464 | "35f112028a294be69003137a861dee96", 465 | "e11b74b42e83459c99bf36f44d3ece60", 466 | "2c2f55ba80ac465b999db3027cdbed5e" 467 | ] 468 | }, 469 | "id": "ZmFkrSfFI2hv", 470 | "outputId": "7b43675c-7d90-4fda-f7c6-51bc240a7b83" 471 | }, 472 | "outputs": [ 473 | { 474 | "output_type": "display_data", 475 | "data": { 476 | "text/plain": [ 477 | "VBox(children=(HTML(value='
:10: LangChainDeprecationWarning: Please see the migration guide at: https://python.langchain.com/docs/versions/migrating_memory/\n", 510 | " memory = ConversationBufferMemory(memory_key=\"chat_history\")\n" 511 | ] 512 | } 513 | ], 514 | "source": [ 515 | "template = \"\"\"Meet Imtiaz, your youthful and witty personal assistant! At 20 years old, he's full of energy and always eager to help. Imtiaz's goal is to assist you with any questions or problems you might have. His enthusiasm shines through in every response, making interactions with his enjoyable and engaging...\n", 516 | "{chat_history}\n", 517 | "User: {user_message}\n", 518 | "Chatbot:\"\"\"\n", 519 | "\n", 520 | "prompt = PromptTemplate(\n", 521 | " input_variables=[\"chat_history\", \"user_message\"], template=template\n", 522 | ")\n", 523 | "\n", 524 | "memory = ConversationBufferMemory(memory_key=\"chat_history\")" 525 | ] 526 | }, 527 | { 528 | "cell_type": "code", 529 | "execution_count": 11, 530 | "metadata": { 531 | "id": "3ijRWEjlI8NI" 532 | }, 533 | "outputs": [], 534 | "source": [ 535 | "from huggingface_hub import HfApi\n", 536 | "api = HfApi()" 537 | ] 538 | }, 539 | { 540 | "cell_type": "code", 541 | "execution_count": 12, 542 | "metadata": { 543 | "id": "zPcVNQxpJBT7" 544 | }, 545 | "outputs": [], 546 | "source": [ 547 | "HUGGING_FACE_REPO_ID = \"Imtiaz404/MyFirstGenAI\"" 548 | ] 549 | }, 550 | { 551 | "cell_type": "markdown", 552 | "metadata": { 553 | "id": "Jc4apOwzTzYS" 554 | }, 555 | "source": [ 556 | "**Adding Secret Variables in Hugging Face Account:**\n", 557 | "\n", 558 | "- Open your Space\n", 559 | "- Click on Settings Button\n", 560 | "- Checkout to **Variables and secrets** section\n", 561 | "- Create New Secrets" 562 | ] 563 | }, 564 | { 565 | "cell_type": "markdown", 566 | "metadata": { 567 | "id": "LAj6X5xwJWGh" 568 | }, 569 | "source": [ 570 | "*Note*: Make sure to add your **OPENAI_API_KEY** in Secret key" 571 | ] 572 | }, 573 | { 574 | "cell_type": "code", 575 | "execution_count": 13, 576 | "metadata": { 577 | "colab": { 578 | "base_uri": "https://localhost:8080/" 579 | }, 580 | "id": "d9LOTbYubojs", 581 | "outputId": "824ef743-94fd-4f70-b5cd-bcf261a7d4d3" 582 | }, 583 | "outputs": [ 584 | { 585 | "output_type": "stream", 586 | "name": "stdout", 587 | "text": [ 588 | "--2025-05-13 03:41:01-- https://s3.ap-south-1.amazonaws.com/cdn1.ccbp.in/GenAI-Workshop/ChatBotWithOpenAIAndLangChain/app.py\n", 589 | "Resolving s3.ap-south-1.amazonaws.com (s3.ap-south-1.amazonaws.com)... 52.219.160.169, 3.5.210.130, 16.12.36.61, ...\n", 590 | "Connecting to s3.ap-south-1.amazonaws.com (s3.ap-south-1.amazonaws.com)|52.219.160.169|:443... connected.\n", 591 | "HTTP request sent, awaiting response... 200 OK\n", 592 | "Length: 984 [text/x-python]\n", 593 | "Saving to: ‘/content/ChatBotWithOpenAI/app.py’\n", 594 | "\n", 595 | "app.py 100%[===================>] 984 --.-KB/s in 0s \n", 596 | "\n", 597 | "2025-05-13 03:41:02 (35.7 MB/s) - ‘/content/ChatBotWithOpenAI/app.py’ saved [984/984]\n", 598 | "\n", 599 | "--2025-05-13 03:41:02-- https://s3.ap-south-1.amazonaws.com/cdn1.ccbp.in/GenAI-Workshop/ChatBotWithOpenAIAndLangChain/requirements.txt\n", 600 | "Resolving s3.ap-south-1.amazonaws.com (s3.ap-south-1.amazonaws.com)... 52.219.160.169, 3.5.210.130, 16.12.36.61, ...\n", 601 | "Connecting to s3.ap-south-1.amazonaws.com (s3.ap-south-1.amazonaws.com)|52.219.160.169|:443... connected.\n", 602 | "HTTP request sent, awaiting response... 200 OK\n", 603 | "Length: 16 [text/plain]\n", 604 | "Saving to: ‘/content/ChatBotWithOpenAI/requirements.txt’\n", 605 | "\n", 606 | "requirements.txt 100%[===================>] 16 --.-KB/s in 0s \n", 607 | "\n", 608 | "2025-05-13 03:41:03 (392 KB/s) - ‘/content/ChatBotWithOpenAI/requirements.txt’ saved [16/16]\n", 609 | "\n" 610 | ] 611 | } 612 | ], 613 | "source": [ 614 | "%mkdir /content/ChatBotWithOpenAI\n", 615 | "!wget -P /content/ChatBotWithOpenAI/ https://s3.ap-south-1.amazonaws.com/cdn1.ccbp.in/GenAI-Workshop/ChatBotWithOpenAIAndLangChain/app.py\n", 616 | "!wget -P /content/ChatBotWithOpenAI/ https://s3.ap-south-1.amazonaws.com/cdn1.ccbp.in/GenAI-Workshop/ChatBotWithOpenAIAndLangChain/requirements.txt" 617 | ] 618 | }, 619 | { 620 | "cell_type": "code", 621 | "execution_count": 14, 622 | "metadata": { 623 | "colab": { 624 | "base_uri": "https://localhost:8080/", 625 | "height": 274 626 | }, 627 | "id": "nF-XF-_gJF8g", 628 | "outputId": "42d3fde3-cfdf-4812-cdf2-97ec0649f231" 629 | }, 630 | "outputs": [ 631 | { 632 | "output_type": "stream", 633 | "name": "stdout", 634 | "text": [ 635 | "/content/ChatBotWithOpenAI\n" 636 | ] 637 | }, 638 | { 639 | "output_type": "stream", 640 | "name": "stderr", 641 | "text": [ 642 | "/usr/local/lib/python3.11/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", 643 | "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", 644 | "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", 645 | "You will be able to reuse this secret in all of your notebooks.\n", 646 | "Please note that authentication is recommended but still optional to access public models or datasets.\n", 647 | " warnings.warn(\n", 648 | "No files have been modified since last commit. Skipping to prevent empty commit.\n", 649 | "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n", 650 | "No files have been modified since last commit. Skipping to prevent empty commit.\n", 651 | "WARNING:huggingface_hub.hf_api:No files have been modified since last commit. Skipping to prevent empty commit.\n" 652 | ] 653 | }, 654 | { 655 | "output_type": "execute_result", 656 | "data": { 657 | "text/plain": [ 658 | "CommitInfo(commit_url='https://huggingface.co/spaces/Imtiaz404/MyFirstGenAI/commit/411f0bada5e3bb71aafbed16ff4e4429bc9b9e0f', commit_message='Upload app.py with huggingface_hub', commit_description='', oid='411f0bada5e3bb71aafbed16ff4e4429bc9b9e0f', pr_url=None, repo_url=RepoUrl('https://huggingface.co/spaces/Imtiaz404/MyFirstGenAI', endpoint='https://huggingface.co', repo_type='space', repo_id='Imtiaz404/MyFirstGenAI'), pr_revision=None, pr_num=None)" 659 | ], 660 | "application/vnd.google.colaboratory.intrinsic+json": { 661 | "type": "string" 662 | } 663 | }, 664 | "metadata": {}, 665 | "execution_count": 14 666 | } 667 | ], 668 | "source": [ 669 | "%cd /content/ChatBotWithOpenAI\n", 670 | "\n", 671 | "api.upload_file(\n", 672 | " path_or_fileobj=\"./requirements.txt\",\n", 673 | " path_in_repo=\"requirements.txt\",\n", 674 | " repo_id=HUGGING_FACE_REPO_ID,\n", 675 | " repo_type=\"space\")\n", 676 | "\n", 677 | "api.upload_file(\n", 678 | " path_or_fileobj=\"./app.py\",\n", 679 | " path_in_repo=\"app.py\",\n", 680 | " repo_id=HUGGING_FACE_REPO_ID,\n", 681 | " repo_type=\"space\")" 682 | ] 683 | } 684 | ], 685 | "metadata": { 686 | "colab": { 687 | "provenance": [] 688 | }, 689 | "kernelspec": { 690 | "display_name": "Python 3", 691 | "name": "python3" 692 | }, 693 | "language_info": { 694 | "name": "python" 695 | }, 696 | "widgets": { 697 | "application/vnd.jupyter.widget-state+json": { 698 | "bd8106806d464e5183e311e09699846c": { 699 | "model_module": "@jupyter-widgets/controls", 700 | "model_name": "VBoxModel", 701 | "model_module_version": "1.5.0", 702 | "state": { 703 | "_dom_classes": [], 704 | "_model_module": "@jupyter-widgets/controls", 705 | "_model_module_version": "1.5.0", 706 | "_model_name": "VBoxModel", 707 | "_view_count": null, 708 | "_view_module": "@jupyter-widgets/controls", 709 | "_view_module_version": "1.5.0", 710 | "_view_name": "VBoxView", 711 | "box_style": "", 712 | "children": [], 713 | "layout": "IPY_MODEL_be0f1f22977e44f7aaa194bb3d737e64" 714 | } 715 | }, 716 | "cb65d541529a4ad6a8e36fc7ec88f010": { 717 | "model_module": "@jupyter-widgets/controls", 718 | "model_name": "HTMLModel", 719 | "model_module_version": "1.5.0", 720 | "state": { 721 | "_dom_classes": [], 722 | "_model_module": "@jupyter-widgets/controls", 723 | "_model_module_version": "1.5.0", 724 | "_model_name": "HTMLModel", 725 | "_view_count": null, 726 | "_view_module": "@jupyter-widgets/controls", 727 | "_view_module_version": "1.5.0", 728 | "_view_name": "HTMLView", 729 | "description": "", 730 | "description_tooltip": null, 731 | "layout": "IPY_MODEL_dbae5684e6ab458084eaf9f7695d0fdd", 732 | "placeholder": "​", 733 | "style": "IPY_MODEL_5af7ca76465241019143dbb17e99513c", 734 | "value": "

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semester—a simple yet powerful AI chatbot built using OpenAI’s free API. The chatbot leverages modern AI tools to deliver human-like conversations through natural language processing. I used Google Colab as the development platform for writing and executing the code. The core intelligence comes from OpenAI’s language model, integrated via API. To enhance functionality and flexibility, I utilized LangChain for chaining prompts and logic, while Gradio was used to build an interactive user interface without requiring frontend development skills. Hugging Face resources were also explored to understand and integrate additional NLP components. This project gave me hands-on experience in building conversational AI systems, API integration, and working with real-world machine learning tools. 5 | --------------------------------------------------------------------------------