Reddit Mirror

If your words were a picture, this is what you would look like.

Comment 1

A person who has good thoughts cannot ever be ugly. You can have a wonky nose and a crooked mouth and a double chin and stick-out teeth, but if you have good thoughts it will shine out of your face like sunbeams and you will always look lovely. - Roald Dahl

Inspiration

We 👦💰 😱😙 spend 🎈 🎈 a lottt of time 🐢 🤣 on 🔥 🥵 our 💩 ✂️✂️ favorite 😘😍 👏 website, Rebbit. Often 💰 🍆💰💰 times, 🕐😆 💦 we 👩‍👩‍👦‍👦 👩‍👩‍👦‍👦 wonder 😮 😮 what 👏😱 👏 some 👨💭 🍯🤔 of our 💩 💦💩 dear 🔆 🔆 redditor friends 🐷 🐷 and colleagues look 🎱 🧐 like 🤮 😛 in 💁 ⭐ real 😾 😾 life. 🔈🌎 😂👨 Sometimes, 🕐 ✨ these 🌍 🍆 people 👫 👨 have 😣✅ 👃🈶 wacky 😜 😜 posts 📱💻 📱💻 and comments that 🤒 🍆 really 😕 👷🏼💳🚡 allow 👨‍👨‍👦‍👦🎫🎫 👨‍👨‍👦‍👦🎫🎫 for 😘 😊 their 🍷 😴 real 🔎 😼 personality to shine! ✨✨✨ ✨✨✨ We 👩‍👩‍👦‍👦 💏🏼 hope 🙏 🙏🏼👏🏼 to find 🔎🔎🔎🔎 🔍 out 😵😵 😰 what 😦 😦 our 💰 💰👶 friends 👯👯‍♂️👯‍♀️ 👥 look 👀 👁️‍🗨️ like 😗 💒😄 in 🙌👏 👉 real 📷 💯 life! 😛 🧬. I am so scawwed.

What it does

When tagged, our highly regarded Reddit bot creates a photorealistic image of a user based on their history of posts and comments on Reddit.

How we built it

For this project, we utilized Python as our primary programming language and Cohere's language model and the DALL-E API to generate photorealistic images of Reddit users. we fine-tuned co:here generate endpoint to produce descriptive DALL-E prompts to generate the images based on reddit history. It was interesting to engineer our prompts so that the co:here model could understand an Internet conversation and infer dispositions.

Our Python scripts fetch user data through the Reddit API, create a prompt that feeds into Cohere's generative language model API, which then outputs an optimized prompt to feed into OpenAI's DALL-E model. The resulting image is photorealistic and encapsulates the user's characteristics based on their online presence. We hosted our entire pipeline on Docker, which simplified deployment and testing.

Challenges we ran into

A primary challenge that we faced was guiding Cohere to generate a prompt for DALL-E in a consistent manner. Using Cohere's model training feature, we fed a dataset of formatted yet diversified prompts that were descriptive and optimized for DALL-E image generation. After training Cohere's generative language model, we achieved successful results that were consistent and descriptive.

Accomplishments that we're proud of

What man could sleep at the end of the day, proud of what little he accomplished is this cosmic masquerade we call life.

What we learned

  • Reddit API (PRAW)
  • Cohere
  • What DALL-E likes

What's next for Reddit Mirror

-More fine tuning for the model will be needed, so that our images can get more sentiment behind them -Current models don't return as descriptive an image that they could. We need more tags that can be translated by Dall-E.

The portrait would be to him the most magical of mirrors. As it had revealed to him his own body, so it would reveal to him his own soul. - Oscar Wilde

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