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An AI-powered answer engine with a generative UI

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Morphic

An AI-powered answer engine with a generative UI.

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🔍 Overview

🧱 Stack

🚀 Quickstart

1. Fork and Clone repo

Fork the repo to your Github account, then run the following command to clone the repo:

git clone [email protected]:[YOUR_GITHUB_ACCOUNT]/morphic.git

2. Install dependencies

cd morphic
bun i

3. Fill out secrets

cp .env.local.example .env.local

Your .env.local file should look like this:

# Used to set the base URL path for OpenAI API requests.
# If you need to set a BASE URL, uncomment and set the following:
# OPENAI_API_BASE=

# Used to set the model for OpenAI API requests.
# If not set, the default is gpt-4-turbo.
# OPENAI_API_MODEL='gpt-4-turbo'

# OpenAI API key retrieved here: https://platform.openai.com/api-keys
OPENAI_API_KEY=[YOUR_OPENAI_API_KEY]

# Tavily API Key retrieved here: https://app.tavily.com/home
TAVILY_API_KEY=[YOUR_TAVILY_API_KEY]

# Only writers can set a specific model. It must be compatible with the OpenAI API.
# USE_SPECIFIC_API_FOR_WRITER=true
# SPECIFIC_API_BASE=
# SPECIFIC_API_KEY=
# SPECIFIC_API_MODEL=

**Note: This project focuses on Generative UI and requires complex output from LLMs. Currently, it's assumed that the official OpenAI models will be used. Although it's possible to set up other models, if you use an OpenAI-compatible model, but we don't guarantee that it'll work. **

4. Run app locally

bun dev

You can now visit http://localhost:3000.

🌐 Deploy

Host your own live version of Morphic with Vercel.

Deploy with Vercel

✅ Verified models

List of verified models that can be specified to writers.

  • Groq
    • LLaMA3 8b
    • LLaMA3 70b

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