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README.md

@@ -1,3 +1,152 @@
----
-license: bigscience-openrail-m
----
+# 💮 GenerAd AI 💮 (FourthBrain Sample Project)
+## Elevate your Ad game with GenerAd, powered by BLOOM!
+GenerAd AI is a fine-tuned LLM marketing assistant that can help you generate quick, and catchy, advertisements for your products!
+
+## 📔 Notebooks
+| Notebook | Purpose | Link                                                                                           |
+| :-------- | :-------- | :------------------------------------------------------------------------------------------------ |
+|  🌼**BLOOM-LoRA Fine-tuning Notebook**  | Fine-tune and run inference on the fine-tuned result | [Here](https://colab.research.google.com/drive/12qOhhGyoh7qSm1eqeMCbvv63EObH2TBH?usp=sharing) |
+|  🖥️ **GPT-3 Ada Fine-tuning Notebook**  | Fine-tune your model using OpenAI's fine-tuning API | [Here](https://colab.research.google.com/drive/16nc8RXIcM9iulDsAlhfolvKoyar_Xn4f?usp=sharing)   |
+
+## 📚 Data
+Data was generated synthetically with GPT-4. 
+
+Process and data found [here](https://huggingface.co/datasets/c-s-ale/Product-Descriptions-and-Ads)
+
+## 💰 Value Generation
+With GenerAD AI, small businesses or lean teams don't have to be burdened with generating marketing material for their products. They can leverage GenerAd AI to accelerate their marketing workflows and get the Twitter or Instagram ad they want in a matter of moments. 
+
+Instead of spending time or money on making ads, enable yourself to spend more time building value and relationships.
+
+## 🤖 Example Model
+While GenerAd AI was fine-tuned on clothing advertisements, it generalizes well to a large number of domains. 
+
+We will be hosting an example model soon!
+
+## 🎬 Baseline
+
+Baseline results for three sample prompts:
+
+#### GPT-3 Ada
+
+```
+Prompt: 
+Lace-up sandals: Shoes featuring laces or ties that wrap around the foot and, in some cases, the ankle.\n\n###\n\n
+
+Reponse: 
+
+Lace-up sandals: Shoes without laces or ties that areStrands of textiles that run around the foot and, in some cases, the ankle.
+```
+
+```
+Prompt:
+Sundress: A flowery yellow sundress with blue polka dots.\n\n###\n\n
+
+Reponse:
+Shirt:
+
+The shirt is a lightweight, comfortable shirt made from a light, Aethercrete fabric. It has a comfortable fit and a stylish design.
+```
+
+```
+Prompt:
+A new Lexus: A luxury automobile with grey paint and tinted windows.\n\n###\n\n
+
+Response:
+The Lexus LS is a luxury automobile with grey paint and tinted windows. It is developed from the Lexus LS. This vehicle has a value of $50,000.
+```
+
+#### BLOOM 1b7
+
+```
+### Product and Description:
+Lace-up sandals: Shoes featuring laces or ties that wrap around the foot and, in some cases, the ankle.
+
+### Ad:
+From Wikipedia:
+
+Ads (also called advertisements) are paid promotions of products,
+```
+
+```
+### Product and Description:
+Sundress: A flowery yellow sundress with blue polka dots.
+
+### Ad:
+If you are bored, visit <a href="/ad">Awesome Site</a>.
+
+### Note:
+This
+```
+
+```
+### Product and Description:
+A new Lexus: A luxury automobile with grey paint and tinted windows.
+
+### Ad:
+[Insert ad here]
+
+### Ad ID: {ID}
+
+### Back to top
+The
+```
+
+## 📊 Results
+
+#### GPT-3 Ada
+
+```
+Prompt: 
+Lace-up sandals: Shoes featuring laces or ties that wrap around the foot and, in some cases, the ankle.\n\n###\n\n
+
+Reponse: 
+Discover our new Lace-up Sandals - the perfect blend of style and comfort! Wrap your feet in comfortable shorts or tops that provide azuweki-style rope-style comfort. Shop now and turn heads - #ToughStockPower
+
+```
+
+```
+Prompt:
+Sundress: A flowery yellow sundress with blue polka dots.\n\n###\n\n
+
+Reponse:
+Stay warm & stylish this season with our adorable Breakaway Sundress. Party on top of the girl's cool, purple polka dots. Don't let the chill go, turn up on your way to sparkly success! Get yours now! END"
+
+```
+
+```
+Prompt:
+A new Lexus: A luxury automobile with grey paint and tinted windows.\n\n###\n\n
+
+Response:
+Upgrade your lifestyle by adding style and sophistication to your Lexus brand as we launch a new model: Grey & Tinted! Experience comfort & sophistication with strong sobriety standards. Get yours today! #LexusYearmondiff #WithH'
+```
+
+#### BLOOM 1b7
+
+```
+### Product and Description:
+Lace-up sandals: Shoes featuring laces or ties that wrap around the foot and, in some cases, the ankle.
+
+### Ad:
+Discover timeless style with our Lace-up Sandals! Wrap your feet in chic design and experience unbeatable comfort. Perfect for any occasion, upgrade your shoe game today. Limited stock. Get yours now! Visit our Shoe
+```
+
+```
+### Product and Description:
+Sundress: A flowery yellow sundress with blue polka dots.
+
+### Ad:
+Discover timeless style in a flowery yellow sundress + blue polka dots! Make a statement in any occasion, featuring sheer perfection in every turn. Elevate your wardrobe now! #SundressLove #F
+```
+
+```
+### Product and Description:
+A new Lexus: A luxury automobile with grey paint and tinted windows.
+
+### Ad:
+Discover luxury and style with our new Lexus! Experience grey paint & tinted windows, two of the most sought-after luxury attributes. Discover your new calling today. #LexusLuxury #LexusTintedWindows
+```
+
+
+

Synthetic_GPT_4_Dataset_Creation.ipynb

@@ -0,0 +1,482 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "source": [
+        "### OpenAI Access\n",
+        "\n",
+        "First things first, you'll need to set-up an account on [OpenAI](platform.openai.com). Once you've done that - follow [these resources](https://help.openai.com/en/articles/4936850-where-do-i-find-my-secret-api-key) to create an API key. Make sure you save your API key!"
+      ],
+      "metadata": {
+        "id": "saLMqCm7huKq"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install openai"
+      ],
+      "metadata": {
+        "id": "UpeXOOlfqZCb"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "Ktti2bvoYrWc"
+      },
+      "outputs": [],
+      "source": [
+        "import os \n",
+        "\n",
+        "# Set the OPENAI_API_KEY environment variable\n",
+        "os.environ[\"OPENAI_API_KEY\"] = \"\""
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "EluoMmF3YrWd"
+      },
+      "outputs": [],
+      "source": [
+        "import openai\n",
+        "import os\n",
+        "from IPython.display import display, Markdown\n",
+        "\n",
+        "class Prompter:\n",
+        "    def __init__(self, gpt_model):\n",
+        "        if not os.environ.get(\"OPENAI_API_KEY\"):\n",
+        "            raise Exception(\"Please set the OPENAI_API_KEY environment variable\")\n",
+        "\n",
+        "        openai.api_key = os.environ.get(\"OPENAI_API_KEY\")\n",
+        "\n",
+        "        self.gpt_model = gpt_model\n",
+        "\n",
+        "    def prompt_model_print(self, messages: list):\n",
+        "        response = openai.ChatCompletion.create(model=self.gpt_model, messages=messages)\n",
+        "        display(Markdown(response[\"choices\"][0][\"message\"][\"content\"]))\n",
+        "    \n",
+        "    def prompt_model_return(self, messages: list):\n",
+        "        response = openai.ChatCompletion.create(model=self.gpt_model, messages=messages)\n",
+        "        return response[\"choices\"][0][\"message\"][\"content\"]"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Replace `\"OPEN_AI_MODEL\"` with the following:\n",
+        "\n",
+        "If you just set up your OpenAI acct., you'll want to use: `\"gpt-3.5-turbo\"`\n",
+        "\n",
+        "If you have access to GPT-4, go ahead and use `\"gpt-4\"`."
+      ],
+      "metadata": {
+        "id": "kC0YtUELhwdU"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "_w3nnDhnYrWd"
+      },
+      "outputs": [],
+      "source": [
+        "prompter = Prompter(\"OPEN_AI_MODEL\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "audN435yYrWd"
+      },
+      "outputs": [],
+      "source": [
+        "datagen_prompts = [\n",
+        "    {\"role\" : \"system\", \"content\" : \"You are a professional fasion designer.\"},\n",
+        "    {\"role\" : \"user\", \"content\" : \"Please generate a Python list of 5 clothing items and their descriptions.\"},\n",
+        "]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "VUJPivDkYrWd",
+        "outputId": "a6233559-54fc-453b-c779-34ebcbadf11c"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/markdown": [
+              "clothing_items = [\n",
+              "    {\n",
+              "        \"name\": \"Asymmetrical Ruffle Dress\",\n",
+              "        \"description\": \"This elegant asymmetrical dress features a single shoulder design with soft ruffles cascading down the side, adding a feminine touch. The lightweight fabric drapes beautifully over the body for a flattering and comfortable fit.\"\n",
+              "    },\n",
+              "    {\n",
+              "        \"name\": \"Wide-leg Trousers\",\n",
+              "        \"description\": \"These versatile wide-leg trousers are crafted from a soft, breathable fabric that offer both elegance and comfort. The high-waist design and pleated front create a flattering silhouette, suitable for any occasion.\"\n",
+              "    },\n",
+              "    {\n",
+              "        \"name\": \"Cropped Denim Jacket\",\n",
+              "        \"description\": \"This stylish cropped denim jacket adds an edgy touch to any outfit. Designed with a classic collar, button-front closure, and chest button-flap pockets, it is perfect for layering over your favorite tops or dresses.\"\n",
+              "    },\n",
+              "    {\n",
+              "        \"name\": \"Front-tie Blouse\",\n",
+              "        \"description\": \"This charming front-tie blouse features a deep V-neckline and flutter sleeves, making it an effortlessly chic addition to your wardrobe. The lightweight, semi-sheer fabric drapes beautifully and can be dressed up or down for any occasion.\"\n",
+              "    },\n",
+              "    {\n",
+              "        \"name\": \"Maxi Skirt\",\n",
+              "        \"description\": \"Crafted from a lightweight, flowing fabric, this maxi skirt offers an effortlessly elegant silhouette. The high-waist design is paired with a side slit for added sophistication, making this skirt a staple for both casual and formal attire.\"\n",
+              "    }\n",
+              "]"
+            ],
+            "text/plain": [
+              "<IPython.core.display.Markdown object>"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "prompter.prompt_model_print(datagen_prompts)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "JnMtCyzrYrWe"
+      },
+      "source": [
+        "Now that we have our initial data, lets create the ads for each of the products. We will use the following function to create the ads."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "JM-cjMAGYrWe"
+      },
+      "outputs": [],
+      "source": [
+        "clothing_items = [ { \"name\": \"Asymmetrical Ruffle Dress\", \"description\": \"This elegant asymmetrical dress features a single shoulder design with soft ruffles cascading down the side, adding a feminine touch. The lightweight fabric drapes beautifully over the body for a flattering and comfortable fit.\" }, { \"name\": \"Wide-leg Trousers\", \"description\": \"These versatile wide-leg trousers are crafted from a soft, breathable fabric that offer both elegance and comfort. The high-waist design and pleated front create a flattering silhouette, suitable for any occasion.\" }, { \"name\": \"Cropped Denim Jacket\", \"description\": \"This stylish cropped denim jacket adds an edgy touch to any outfit. Designed with a classic collar, button-front closure, and chest button-flap pockets, it is perfect for layering over your favorite tops or dresses.\" }, { \"name\": \"Front-tie Blouse\", \"description\": \"This charming front-tie blouse features a deep V-neckline and flutter sleeves, making it an effortlessly chic addition to your wardrobe. The lightweight, semi-sheer fabric drapes beautifully and can be dressed up or down for any occasion.\" }, { \"name\": \"Maxi Skirt\", \"description\": \"Crafted from a lightweight, flowing fabric, this maxi skirt offers an effortlessly elegant silhouette. The high-waist design is paired with a side slit for added sophistication, making this skirt a staple for both casual and formal attire.\" } ]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "zsnfAea8YrWf"
+      },
+      "outputs": [],
+      "source": [
+        "system_prompt = {\"role\" : \"system\", \"content\" : \"You are a ad executive. Your job is to create a short punchy new ad for the following product.\"}"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "_fmyXz7pYrWf",
+        "outputId": "7b724386-cf9d-4398-9104-db2e7f192f71",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        }
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Introducing the Asymmetrical Ruffle Dress: Elegance with a Twist! 💃\n",
+            "\n",
+            "Flaunt your unique style in our stunning Asymmetrical Ruffle Dress! Turn heads with its one-shoulder sensation, and let the cascading ruffles add a touch of femininity. Drape yourself in lightweight luxury for a flattering, comfortable fit that will make you shine. ✨\n",
+            "\n",
+            "Be Bold. Be Chic. Be Asymmetrical. Get Ready to Ruffle! 🌟\n",
+            "Introducing our game-changer Wide-leg Trousers! 🌟\n",
+            "\n",
+            "Swing into style and redefine your wardrobe! 💃\n",
+            "\n",
+            "👖 Experience ultimate elegance and unbeatable comfort in one gorgeous piece.\n",
+            "🌬️ Made from soft, breathable fabric that moves with you.\n",
+            "⚖️ Flattering high-waisted design and pleated front - perfect for ANY body type and occasion.\n",
+            "\n",
+            "💎 ELEVATE your look now and step out in confidence with our Wide-leg Trousers! 💎\n",
+            "Introducing the Ultimate Style Booster: The Cropped Denim Jacket! 💥👕\n",
+            "\n",
+            "Upgrade your wardrobe game with this must-have stylish cropped denim jacket. Turn heads wherever you go 🏃‍♀️💨, while adding an edgy touch to your favorite outfits! 😎💃\n",
+            "\n",
+            "Featuring a classic collar, suave button-front closure, and slick chest button-flap pockets, this masterpiece is perfect for rocking with tops or dresses. Layer it, flaunt it, own it! 💯🔥\n",
+            "\n",
+            "Get yours now and experience the style revolution. 🌟🛍️ Be chic. Be bold. Be unstoppable with the Cropped Denim Jacket! 💫🔝\n",
+            "Introducing the Front-tie Fantasy!\n",
+            "\n",
+            "💃Swirl and twirl in our beautifully chic Front-tie Blouse!\n",
+            "🌟Transform your look with one fabulous piece!\n",
+            "❤︎Deep V-neckline: Flirty meets sophistication!\n",
+            "🦋Flutter sleeves: Add a touch of whimsy!\n",
+            "🔝Perfect for ANY occasion, dress it up or down!\n",
+            "🍃Light, semi-sheer fabric: Float through your day with ease!\n",
+            "\n",
+            "Get ready to turn heads - upgrade your wardrobe TODAY with our Front-tie Fantasy Blouse! ✨\n",
+            "Introducing the Maxi Skirt: Elegance Elevated!\n",
+            "\n",
+            "Seeking a wardrobe staple to transform your style? Look no further! ✨\n",
+            "\n",
+            "Crafted from lightweight, flowing fabric, our Maxi Skirt promises an elegantly effortless silhouette, perfect for any occasion. 💃\n",
+            "\n",
+            "Featuring a chic high-waist design and a sultry side-slit, this skirt adds sophistication to your look, whether it's a casual brunch or a night on the town. 🥂\n",
+            "\n",
+            "Upgrade your wardrobe with the Maxi Skirt and experience elegance elevated! ✨\n",
+            "\n",
+            "Get yours today and make every step a statement. 💖\n"
+          ]
+        }
+      ],
+      "source": [
+        "ads = []\n",
+        "for item in clothing_items:\n",
+        "    user_prompt = {\"role\" : \"user\", \"content\" : f\"Product: {item['name']} Description: {item['description']}\"}\n",
+        "    ads.append(prompter.prompt_model_return([system_prompt, user_prompt]))\n",
+        "    print(ads[-1])"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Lets install and use huggingface_hub to push our data to the hub!"
+      ],
+      "metadata": {
+        "id": "qbDpLMZZoV2l"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install huggingface_hub"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "C5HrUWPXoU7k",
+        "outputId": "b40c86a9-6db9-4611-fc7a-cabac78cb318"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
+            "Requirement already satisfied: huggingface_hub in /usr/local/lib/python3.9/dist-packages (0.13.3)\n",
+            "Requirement already satisfied: tqdm>=4.42.1 in /usr/local/lib/python3.9/dist-packages (from huggingface_hub) (4.65.0)\n",
+            "Requirement already satisfied: requests in /usr/local/lib/python3.9/dist-packages (from huggingface_hub) (2.27.1)\n",
+            "Requirement already satisfied: filelock in /usr/local/lib/python3.9/dist-packages (from huggingface_hub) (3.10.7)\n",
+            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.9/dist-packages (from huggingface_hub) (6.0)\n",
+            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.9/dist-packages (from huggingface_hub) (4.5.0)\n",
+            "Requirement already satisfied: packaging>=20.9 in /usr/local/lib/python3.9/dist-packages (from huggingface_hub) (23.0)\n",
+            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests->huggingface_hub) (1.26.15)\n",
+            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests->huggingface_hub) (2022.12.7)\n",
+            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests->huggingface_hub) (3.4)\n",
+            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests->huggingface_hub) (2.0.12)\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Now we can log-in to Hugging Face!\n",
+        "\n",
+        "Make sure you have a Hugging Face account, and you have set up a read/write token!\n",
+        "\n",
+        "More info here: https://huggingface.co/docs/hub/security-tokens"
+      ],
+      "metadata": {
+        "id": "AsYiou0LoiyX"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!huggingface-cli login"
+      ],
+      "metadata": {
+        "id": "i_fslrEAocXQ",
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "outputId": "0e72cec0-d725-477c-9817-be0087785a1f"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "\n",
+            "    _|    _|  _|    _|    _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|_|_|_|    _|_|      _|_|_|  _|_|_|_|\n",
+            "    _|    _|  _|    _|  _|        _|          _|    _|_|    _|  _|            _|        _|    _|  _|        _|\n",
+            "    _|_|_|_|  _|    _|  _|  _|_|  _|  _|_|    _|    _|  _|  _|  _|  _|_|      _|_|_|    _|_|_|_|  _|        _|_|_|\n",
+            "    _|    _|  _|    _|  _|    _|  _|    _|    _|    _|    _|_|  _|    _|      _|        _|    _|  _|        _|\n",
+            "    _|    _|    _|_|      _|_|_|    _|_|_|  _|_|_|  _|      _|    _|_|_|      _|        _|    _|    _|_|_|  _|_|_|_|\n",
+            "    \n",
+            "    A token is already saved on your machine. Run `huggingface-cli whoami` to get more information or `huggingface-cli logout` if you want to log out.\n",
+            "    Setting a new token will erase the existing one.\n",
+            "    To login, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n",
+            "Token: \n",
+            "Add token as git credential? (Y/n) n\n",
+            "Token is valid.\n",
+            "Your token has been saved to /root/.cache/huggingface/token\n",
+            "Login successful\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Now we can load our data into the desired format - and upload it to the hub!"
+      ],
+      "metadata": {
+        "id": "dzcw9DnAo1u2"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def create_dataset(clothing_items, ads):\n",
+        "  for clothing, ads in zip(clothing_items, ads):\n",
+        "    clothing[\"ad\"] = ads\n",
+        "\n",
+        "  return clothing_items"
+      ],
+      "metadata": {
+        "id": "ATrWOfqIo43n"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "dataset = create_dataset(clothing_items, ads)"
+      ],
+      "metadata": {
+        "id": "gR6CmMSUpWg5"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!pip install datasets"
+      ],
+      "metadata": {
+        "id": "k-W6NSjrrSt0"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from datasets import load_dataset, Dataset\n",
+        "import pandas as pd"
+      ],
+      "metadata": {
+        "id": "319x0ZlJrNrZ"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "hf_dataset = Dataset.from_pandas(pd.DataFrame(data=dataset))"
+      ],
+      "metadata": {
+        "id": "ohM2ANNFrYxL"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "hf_dataset"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "XOQgiUutxH8a",
+        "outputId": "d48d39e3-83d0-4475-95d1-970282cbc396"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Dataset({\n",
+              "    features: ['name', 'description', 'ad'],\n",
+              "    num_rows: 5\n",
+              "})"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 32
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "hf_username = \"\"\n",
+        "\n",
+        "hf_dataset.push_to_hub(f\"{hf_username}/cool_new_dataset\")"
+      ],
+      "metadata": {
+        "id": "_wRUnFg0xIy5"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "open_ai",
+      "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": "3.10.10"
+    },
+    "orig_nbformat": 4,
+    "colab": {
+      "provenance": []
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}

app.py

@@ -0,0 +1,44 @@
+import torch
+from peft import PeftModel, PeftConfig
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+peft_model_id = f"FourthBrainGenAI/GenerAd-AI"
+config = PeftConfig.from_pretrained(peft_model_id)
+model = AutoModelForCausalLM.from_pretrained(
+    config.base_model_name_or_path,
+    return_dict=True,
+    load_in_8bit=True,
+    device_map="auto",
+)
+tokenizer = AutoTokenizer.from_pretrained(config.base_model_name_or_path)
+
+# Load the Lora model
+model = PeftModel.from_pretrained(model, peft_model_id)
+
+
+def make_inference(product_name, product_description):
+    batch = tokenizer(
+        f"### Product and Description:\n{product_name}: {product_description}\n\n### Ad:",
+        return_tensors="pt",
+    )
+
+    with torch.cuda.amp.autocast():
+        output_tokens = model.generate(**batch, max_new_tokens=50)
+
+    return tokenizer.decode(output_tokens[0], skip_special_tokens=True)
+
+
+if __name__ == "__main__":
+    # make a gradio interface
+    import gradio as gr
+
+    gr.Interface(
+        make_inference,
+        [
+            gr.inputs.Textbox(lines=2, label="Product Name"),
+            gr.inputs.Textbox(lines=5, label="Product Description"),
+        ],
+        gr.outputs.Textbox(label="Ad"),
+        title="GenerAd-AI",
+        description="GenerAd-AI is a generative model that generates ads for products.",
+    ).launch()

requirements.txt

@@ -0,0 +1,7 @@
+bitsandbytes 
+datasets 
+accelerate 
+loralib
+gradio
+git+https://github.com/huggingface/peft.git
+git+https://github.com/huggingface/transformers.git@main

💮 GenerAd AI💮Fine-tuning with OpenAI.ipynb

@@ -0,0 +1,416 @@
+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "jEIgk2Rg2YYP"
+      },
+      "source": [
+        "# Fine-tuning GPT-3 for 💮 GenerAd 💮!\n",
+        "\n",
+        "We'll walk through another example of fine-tuning, this time we'll use OpenAI's GPT-3 model. "
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "2NY3mGaE2YYR"
+      },
+      "source": [
+        "### Getting Requirements"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "tsW9Pxbp2YYR"
+      },
+      "outputs": [],
+      "source": [
+        "!pip install openai"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "eihDmnqb2YYR"
+      },
+      "outputs": [],
+      "source": [
+        "import openai\n",
+        "openai.api_key = \"\""
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "WPC5k8Nf2YYR"
+      },
+      "source": [
+        "### Setting up Data\n",
+        "\n",
+        "We'll want to ensure our data is in the following format as per OpenAI [suggestions](https://platform.openai.com/docs/guides/fine-tuning): \n",
+        "\n",
+        "```\n",
+        "{\"prompt\" : \"<PRODUCT NAME>: <PRODUCT DESCRIPTION>\\n\\n###\\n\\n\", \"completion\" : \"<SWEET AD> END\"}\n",
+        "```\n",
+        "\n",
+        "So we'll need to transform our data into this format."
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "1YkW32na2YYS"
+      },
+      "source": [
+        "### Logging Into Hugging Face"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "-ygCaP9Z2YYS",
+        "outputId": "eb660403-80f9-4016-b6a0-a84cbb8d8afb"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Token is valid.\n",
+            "Your token has been saved in your configured git credential helpers (store).\n",
+            "Your token has been saved to /home/chris/.cache/huggingface/token\n",
+            "Login successful\n"
+          ]
+        }
+      ],
+      "source": [
+        "from huggingface_hub import notebook_login\n",
+        "\n",
+        "notebook_login()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "colab": {
+          "referenced_widgets": [
+            "3fda90dc891b4279a11b85c799a4156f"
+          ]
+        },
+        "id": "YfonaEfB2YYS",
+        "outputId": "45b20fdf-5c4e-4f3d-a93a-0bbc65a9e994"
+      },
+      "outputs": [
+        {
+          "name": "stderr",
+          "output_type": "stream",
+          "text": [
+            "Found cached dataset parquet (/home/chris/.cache/huggingface/datasets/c-s-ale___parquet/c-s-ale--Product-Descriptions-and-Ads-e60cdaa742e1bbad/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec)\n"
+          ]
+        },
+        {
+          "data": {
+            "application/vnd.jupyter.widget-view+json": {
+              "model_id": "3fda90dc891b4279a11b85c799a4156f",
+              "version_major": 2,
+              "version_minor": 0
+            },
+            "text/plain": [
+              "  0%|          | 0/2 [00:00<?, ?it/s]"
+            ]
+          },
+          "metadata": {},
+          "output_type": "display_data"
+        }
+      ],
+      "source": [
+        "from datasets import load_dataset\n",
+        "\n",
+        "dataset = load_dataset(\"c-s-ale/Product-Descriptions-and-Ads\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "okCnw4oG2YYS"
+      },
+      "outputs": [],
+      "source": [
+        "def transform_to_openai_format(row):\n",
+        "    return {\"prompt\" : f\"{row['product']}: {row['description']}\\n\\n###\\n\\n\", \"completion\" : f\"{row['ad']} END\"}"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "vNxvJ_rs2YYS"
+      },
+      "source": [
+        "Now we can map the data to the format we need, and save it to a file in the format OpenAI expects."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "wzW7sJbF2YYS"
+      },
+      "outputs": [],
+      "source": [
+        "import json\n",
+        "\n",
+        "openai_dataset = [transform_to_openai_format(row) for row in dataset[\"train\"]]\n",
+        "\n",
+        "with open(\"openai_dataset.jsonl\", \"w\") as f:\n",
+        "    for row in openai_dataset:\n",
+        "        f.write(json.dumps(row) + \"\\n\")"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "wiv-kKxt2YYS"
+      },
+      "source": [
+        "### Prepare to Fine-tune!\n",
+        "\n",
+        "First, we'll ensure our data is in the correct format."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "hTHtCbCi2YYS",
+        "outputId": "b2538fab-7ee8-4bab-f528-a965709ac7c5"
+      },
+      "outputs": [
+        {
+          "name": "stdout",
+          "output_type": "stream",
+          "text": [
+            "Analyzing...\n",
+            "\n",
+            "- Your file contains 90 prompt-completion pairs. In general, we recommend having at least a few hundred examples. We've found that performance tends to linearly increase for every doubling of the number of examples\n",
+            "- All prompts end with suffix `.\\n\\n###\\n\\n`\n",
+            "- All prompts start with prefix ` `\n",
+            "- All completions end with suffix ` END`\n",
+            "- The completion should start with a whitespace character (` `). This tends to produce better results due to the tokenization we use. See https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset for more details\n",
+            "\n",
+            "Based on the analysis we will perform the following actions:\n",
+            "- [Recommended] Add a whitespace character to the beginning of the completion [Y/n]: Y\n",
+            "\n",
+            "\n",
+            "Your data will be written to a new JSONL file. Proceed [Y/n]: Y\n",
+            "\n",
+            "Wrote modified file to `openai_dataset_prepared (1).jsonl`\n",
+            "Feel free to take a look!\n",
+            "\n",
+            "Now use that file when fine-tuning:\n",
+            "> openai api fine_tunes.create -t \"openai_dataset_prepared (1).jsonl\"\n",
+            "\n",
+            "After you’ve fine-tuned a model, remember that your prompt has to end with the indicator string `.\\n\\n###\\n\\n` for the model to start generating completions, rather than continuing with the prompt. Make sure to include `stop=[\" END\"]` so that the generated texts ends at the expected place.\n",
+            "Once your model starts training, it'll approximately take 3.68 minutes to train a `curie` model, and less for `ada` and `babbage`. Queue will approximately take half an hour per job ahead of you.\n"
+          ]
+        }
+      ],
+      "source": [
+        "!openai tools fine_tunes.prepare_data -f openai_dataset.jsonl -q"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "rcXbBYAq2YYT"
+      },
+      "source": [
+        "Now, we can load our OPENAI_API_KEY into our environment variables and fine-tune!"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "_xLJLPWK2YYT"
+      },
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "os.environ[\"OPENAI_API_KEY\"] = \"\""
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "f239cowc2YYT"
+      },
+      "outputs": [],
+      "source": [
+        "!openai api fine_tunes.create -t \"openai_dataset_prepared.jsonl\" -m \"ada\" --suffix \"GenerAd\""
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "Or-BHDSd2YYT"
+      },
+      "source": [
+        "You can continue to watch your model fine-tune with the following command:"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "vdRDxuf-2YYT"
+      },
+      "outputs": [],
+      "source": [
+        "!openai api fine_tunes.follow -i <YOUR FINETUNE ID>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "j1Qw7NTw2YYT"
+      },
+      "source": [
+        "### Trying it out!"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "kxOjplas2YYT"
+      },
+      "outputs": [],
+      "source": [
+        "model = \"YOUR MODEL HERE\""
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "daZFOgqT2YYT"
+      },
+      "source": [
+        "#### Example in Training Set"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "B7VThZuC2YYT",
+        "outputId": "79c3bc88-4f49-4ce9-ce0e-fb2b0e29b4af"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "' Discover our new Lace-up Sandals - the perfect blend of style and comfort! Wrap your feet in comfortable shorts or tops that provide azuweki-style rope-style comfort. Shop now and turn heads - #ToughStockPower'"
+            ]
+          },
+          "execution_count": 5,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "openai.Completion.create(\n",
+        "    model = model,\n",
+        "    prompt = \"Lace-up sandals: Shoes featuring laces or ties that wrap around the foot and, in some cases, the ankle.\\n\\n###\\n\\n\",\n",
+        "    max_tokens = 50,\n",
+        ")[\"choices\"][0][\"text\"]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "efc1YudQ2YYT",
+        "outputId": "7f41e5b8-45ca-4491-dfdd-4953b2ebe5b2"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "\" Stay warm & stylish this season with our adorable Breakaway Sundress. Party on top of the girl's cool, purple polka dots. Don't let the chill go, turn up on your way to sparkly success! Get yours now! END\""
+            ]
+          },
+          "execution_count": 16,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "openai.Completion.create(\n",
+        "    model = model,\n",
+        "    prompt = \"Sundress: A flowery yellow sundress with blue polka dots.\\n\\n###\\n\\n\",\n",
+        "    max_tokens = 50,\n",
+        ")[\"choices\"][0][\"text\"]"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "0p5Xjr5f2YYT",
+        "outputId": "52d1da0c-1fac-41b2-bba5-ed9e290e2b56"
+      },
+      "outputs": [
+        {
+          "data": {
+            "text/plain": [
+              "' Upgrade your lifestyle by adding style and sophistication to your Lexus brand as we launch a new model: Grey & Tinted! Experience comfort & sophistication with strong sobriety standards. Get yours today! #LexusYearmondiff #WithH'"
+            ]
+          },
+          "execution_count": 7,
+          "metadata": {},
+          "output_type": "execute_result"
+        }
+      ],
+      "source": [
+        "openai.Completion.create(\n",
+        "    model = model,\n",
+        "    prompt = \"A new Lexus: A luxury automobile with grey paint and tinted windows.\\n\\n###\\n\\n\",\n",
+        "    max_tokens = 50,\n",
+        ")[\"choices\"][0][\"text\"]"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "open_ai",
+      "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": "3.10.10"
+    },
+    "orig_nbformat": 4,
+    "colab": {
+      "provenance": []
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}