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https://github.com/shanto268/dishcord

Find your Pinterest Recipes using Discord with Ollama
https://github.com/shanto268/dishcord

discord-bot langchain llama ollama pinterest recipe

Last synced: 9 days ago
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Find your Pinterest Recipes using Discord with Ollama

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README 

        
# DishCord 📍🍽️🤖: Discord Bot with Recipes from Pinterest Board



My girlfriend woke up today with the idea of being able to search for recipes based on ingredients from her [food Pinterest board](https://www.pinterest.com/madihowa/foods/). Four hours later, she got this bot that does just that.



---



## Features



1. **Pinterest Recipe Integration**



   - Fetch recipes directly from Pinterest boards.

   - Scrape titles, images, and ingredients from recipe sites.

   - Assigns cusine, difficulty, and time to each recipe.

   - Store recipes in a structured JSON format.



2. **Intelligent Ingredient Parsing**



   - Use local LLMs to interpret natural language ingredient queries (e.g., `"What can I make with shrimp and garlic?"`).

   - Includes **fuzzy search logic** to match similar or related ingredients, ensuring flexibility (e.g., `"red pepper flakes"` matches `"pepper flakes"` or `"ground pepper"`).



3. **Discord Bot Commands**



   - `!recipe `: Find recipes matching your ingredients.

   - Auto-DM rules to new users.

   - `!gpt `: For some general chat with the local LLM.

   - `!food `: Smart search recipes using natural language, including filters like type, ingredients, difficulty, and time.



---



## Setup & Installation



### Prerequisites



1. Python 3.8+

2. Install dependencies:



   ```bash

   pip install -r requirements.txt

   ```



3. ChromeDriver installed (compatible with your Chrome version).



4. Set up `.env`:

   ```plaintext

   DISCORD_BOT_TOKEN=your_discord_token

   PINTEREST_EMAIL=your_email

   PINTEREST_PASSWORD=your_password

   ```



---



## Usage



### **1. Run the Pinterest Scraper**



Fetch recipes from Pinterest boards and scrape recipe details:



```bash

python data/pinterest_scraper.py \

    --board_url https://www.pinterest.com/ \

    --driver_path /path/to/chromedriver \

    --scroll_count 100 \

    --workers 5 \

    --output_file recipes.json

```



**Output:** `recipes.json` with structured recipe data.



---



### **2. Assign more features to the recipe**



Assign features like cuisine, difficulty, etc, to the recipes:



```bash

python data/assign_cuisine.py \

    --input_file recipes.json \

    --output_file recipes.json

```



**Output:** `recipes.json` with this new data added to each recipe.



**Dataset:** Made available on HuggingFace - https://huggingface.co/datasets/shanto268/pinterest_recipes 



### **3. Start the Discord Bot**



Launch the bot to interact on Discord:



```bash

python bot.py

```



---



### **4. Discord Bot Commands**



#### `!recipe `



Ask for recipes based on ingredients.

_Example:_



```

!recipe I have 1 lb shrimp, red pepper flakes, and maybe some low-sodium chicken broth. Any recipe match?

```



**Bot Response (Example):**

![Recipe Bot Response](images/recipe.png)



---



#### `!food `



Search recipes intelligently using natural language.



_Examples:_



1. **By type of food:**



   ```

   !food show me 3 recipes for Italian food

   ```



**Bot Response (Example):**

![Recipe Bot 1](images/food1.png)



2. **Quick and easy recipes:**



   ```

   !food any easy seafood recipes that I can make for dinner?

   ```



**Bot Response (Example):**

![Recipe Bot 2](images/food2.png)



3. **By ingredients and a condition:**



   - ```

     !food find me 3 French recipes under 1 hour

     ```



     **Bot Response (Example):**

     ![Recipe Bot 3](images/food3.png)



   - ```

     !food Japanese food that use rice and nori?

     ```

     **Bot Response (Example):**

     ![Recipe Bot 4](images/food4.png)



---



## License



This project is open-source and available under the [MIT License](LICENSE).



---



# To Do:



- [ ] Allow for exploratory chat features using the recipes.json knowledge base. e.g. "I want to make pasta" -> "What type of pasta?" -> "Spaghetti" -> "What sauce?" -> "Tomato" -> "Here's a recipe for Spaghetti with Tomato Sauce."



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