nicolay-r

import highdicom as hd
from pydicom.sr.codedict import codes

# Define three textual findings
finding = hd.sr.TextContentItem(
    name=codes.DCM.Finding,
    value="FINDING TEXTUAL CONTENT GOES HERE",
    relationship_type=hd.sr.RelationshipTypeValues.CONTAINS)

# Subsection of the Report.

nicolay-r

// This is a custom implementation of the POST-based stream fetching for streaming via FastAPI
// https://stackoverflow.com/questions/78826168/how-to-stream-llm-response-from-fastapi-to-react

async function* streamIterator(apiUrl, requestBody, extraHeaders)  {

    let response = await fetch(apiUrl, {
        method: 'POST',
        headers: { ...{'Content-Type': 'application/json'}, ...(extraHeaders || {}) },
        body: JSON.stringify(requestBody),
    });

nicolay-r

// This is a customized version of the original script:
// https://til.simonwillison.net/llms/streaming-llm-apis
// Adapted for Replicate Streaming API documentation:
// https://replicate.com/docs/topics/predictions/streaming

async function* sseStreamIterator(apiUrl, requestBody, extraHeaders)  {

    // POST.
    let response = await fetch(apiUrl, {
        method: 'POST',