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ohcnetwork / ayushma

Empowering Nurses with Multilingual ICU Protocols. Leveraging the rapid advancements in AI technology, created multilingual interfaces that assist nurses in rapidly upgrading their knowledge about ICU protocols.
https://ayushma-api.ohc.network
MIT License
8 stars 9 forks source link
ai gpt-4 rag

readme

Ayushma AI

Empowering Nurses with Multilingual ICU Protocols. Leveraging the rapid advancements in AI technology, created multilingual interfaces that assist nurses in rapidly upgrading their knowledge about ICU protocols. This is a Django project.

Requirements

Optional Requirements

Running the Project

We strongly recommend using Docker to run the project. Manual methods are not supported at the moment.

make up

Env Variables

Add these environment variables to your .env file.

Variable Description
AI_NAME Name of the AI (default: Ayushma)
OPENAI_API_KEY OpenAI API Key
PINECONE_API_KEY Pinecone API Key
PINECONE_INDEX Pinecone Index
VECTOR_DB The Vector DB you would like to choose. "milvus" (default) or "pinecone"
CURRENT_DOMAIN Current Domain where the frontend is hosted. ex. https://ayushma.ohc.network
EMAIL_HOST SES Email Host (Optional)
EMAIL_USER SES Email User (Optional)
EMAIL_PASSWORD SES Email Password (Optional)
GOOGLE_APPLICATION_CREDENTIALS Google Cloud Credentials (Optional). These should be in a file named gc_credential.json in the root of the project
S3_SECRET_KEY AWS S3 Secret Key (Optional)
S3_KEY_ID AWS S3 Key ID (Optional)
S3_BUCKET_NAME AWS S3 Bucket Name (Optional)
S3_REGION AWS S3 Region (Optional)
GOOGLE_RECAPTCHA_SECRET_KEY Google Recaptcha Secret Key (Optional)

Google Cloud

To use Google Cloud Speech to Text API, you need to enable the API and create a service account. Download the credentials and save them in a file named gc_credential.json in the root of the project.