OpenAI Codex Applications

Browse applications built on OpenAI Codex technology. Explore PoC and MVP applications created by our community and discover innovative use cases for OpenAI Codex technology.

MindMate

During the hackathon, we fine-tuned GPT-3 and built a self-analysis tool that helps one objectively assess their problem and develop new ideas for solving it. It can be used by people who can't access mental health care because of high prices and stigma. It is based on CBT and should be highly effective in the following cases: 1. A person has a problem and doesn't know how to solve it. For example, "I can't keep up with deadlines," or "My parents are overprotective." 2. A person can't make a decision. "Should I move?", "Should I accept an offer from a new company?" etc. 3. A person can't sort out their thoughts. "I can't understand why I'm so uncomfortable being a dad," "Why have I become so irritable?" etc. 4. A person wants to improve their relationship. "I'm so jealous," "We fight all the time," "I'm not happy with my wife. I cheated, and I feel guilty". In therapy, people who are objective about their situation and able to set specific goals tend to achieve better results. This tool does exactly that. A typical session consists of three parts: 1. Analysis. This part includes questions that make the person analyze various aspects of the situation and draw an objective picture. The essence of this part is the transition from an emotional to a rational perception of reality. 2. Empathy. It consists of a comprehensive generalizing statement aimed at supporting the client emotionally. 3. Decision. It consists of questions that allow the person to analyze the availability of resources and ways to solve the problem. Questions force the person to move from emotions to concrete steps toward the goal.

Elomia Health
CodexGPT-3DALL-E-2Whisper

Phoenix Whisper

According to research made by J. Birulés-Muntané1 and S. Soto-Faraco (10.1371/journal.pone.0158409), watching movies with subtitles can help us learn a new language more effectively. However, the traditional way of showing subtitles in YouTube or Netflix does not provide us the best way to check the meaning of new vocabulary nor understand complex slang and abbreviation. Therefore, we found out that if we display dual subtitles (the original subtitle of the video and the translated one), the learning curve immediately improves. In research conducted in Japan, the authors concluded that the participants who viewed the episode with dual subtitles did significantly better (http://callej.org/journal/22-3/Dizon-Thanyawatpokin2021.pdf). After understanding both the problem and the solution, we decided to create a platform for learning new languages with dual active transcripts. When you enter a YouTube URL or upload an MP4 file in our web application, the app will produce a web page where you can view the video and have a transcript running next to it in two different languages. We have accomplished this goal and successfully integrated OpenAI Whisper, GPT and Facebook's language model for the backend of the app. At first, we use Streamlit for the app, but it does not provide a transcript that automatically move with the audio timeline, also Streamlit does not give us the ability to design the user interface, so we create our own full stack application using Bootstrap, Flask, HTML, CSS and Javascript. Our business model is subscription-based and/or one-time purchase based on the usage. Our app isn’t just for language learners. It can also be used for writers, singers, YouTubers, or anyone who would like to make their content reach out to more people by adding different languages to their videos/audios. Due to the limitation of free hosting plan, we could not deploy the app on cloud for now but we have a simple website that you can have a quick look at what we are creating (https://phoenixwhisper.onrender.com/success/BzKtI9OfEpk/en).

Phoenix
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GPT-3CodexWhisper