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Update app.py
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app.py
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from fastapi import FastAPI, File, UploadFile
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from fastapi.responses import FileResponse
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from groq import Groq
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import os
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import base64
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from io import BytesIO
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from PIL import Image
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from mdextractor import extract_md_blocks
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from pydantic import BaseModel
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from processpiper.text2diagram import render
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from dotenv import load_dotenv
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load_dotenv()
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app = FastAPI()
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PIPERFLOW_SYNTAX_DOC=""" Generate BPMN diagram using English like PiperFlow syntax
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To create a process map using PirperFlow, you need to define the diagram using a specific syntax. Here is an example:
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title: Sample Test Process
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colourtheme: GREENTURTLE
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lane: End User
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(start) as start
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[Enter Keyword] as enter_keyword
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(end) as end
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pool: System Search
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lane: Database System
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[Login] as login
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[Search Records] as search_records
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<Result Found?> as result_found
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[Display Result] as display_result
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[Logout] as logout
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lane: Log System
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[Log Error] as log_error
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start->login->enter_keyword->search_records->result_found->display_result->logout->end
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result_found->log_error->display_result
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footer: Generated by ProcessPiper
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Import the render function from processpiper.text2diagram
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Call the render function with the input syntax and the output file name.
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Syntax
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Diagram Configurations
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The PiperFlow syntax for defining a process map is as follows:
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title: The title of the diagram.
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footer: The footer text to display on the diagram.
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width : (Optional) Specify the width of the diagram.
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colourtheme: The colour theme to use
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Lane & Pool Configurations
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lane: The name of the lane.
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pool: The name of the pool.
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Element/Shape Configurations
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To add elements to the lane, use one of the following tags. You place your element description within the tag:
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Use ( and ) to create event element
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use (start) to create a start event
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use (end) to create an end event
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use (@timer and ) to create a timer event. Example (@timer Trigger every 1 hour) as timer_event
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use (@intermediate and ) to create an intermediate event. Example (@intermediate Message Received) as intermediate_event
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use (@message and ) to create a message event
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use (@signal and ) to create a signal event
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use (@conditional and ) to create a conditional event
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use (@link and ) to create a link event
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Use [ and ] to create an activity. By default, the activity type is TASK. Example [Place Order] as place_order
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use [@subprocess] to create a subprocess. Example `[@subprocess Get Approval] as get_approval``
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Use < and > to create a gateway. By default, the gateway type is EXCLUSIVE. Example <Result Found?> as result_found
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Use <@parallel and > to create a parallel gateway. Example <@parallel Span Out> as span_out
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Use <@inclusive and > to create an inclusive gateway. Example <@inclusive Condition Met?> as condition_met
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Use <@event and > to create an event gateway
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Connection Configurations
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To connect two elements, use ->. You can chain multiple connections using ->:
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Example:
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login->enter_keyword
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start->login->enter_keyword->search_records->result_found->display_result->logout->end
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To add label to the connection, add ":" when connecting elements. ❗ NOTE: This is a breaking change in v0.6. Versions prior to 0.6 use start-"Enter Credentials->login syntax. See this page for more information.
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Example:
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start->login: Enter credentials
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To specify the connection point manually, add connection side. See How to select sides for more information.
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Example:
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start-(bottom, top)->login
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start-(bottom, top)->login: Enter credentials
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Indentation is not required. However, it is recommended to use indentation to make the diagram easier to read.
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currently available color themes are
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Default
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GREYWOOF
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BLUEMOUNTAIN
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ORANGEPEEL
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GREENTURTLE
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SUNFLOWER
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PURPLERAIN
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RUBYRED
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TEALWATERS
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SEAFOAMS
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"""
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GROQ_API_KEY = os.getenv("GROQ_API_KEY")
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class Prompt(BaseModel):
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prompt: str
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def generate_diagram(input_syntax):
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_, generated_image = render(input_syntax)
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# Convert the image to a base64 encoded string
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buffered = BytesIO()
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generated_image.save(buffered, format="PNG")
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img_str = base64.b64encode(buffered.getvalue())
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return img_str.decode("utf-8")
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@app.get("/")
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def read_root():
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return FileResponse("index.html")
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@app.post("/
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async def
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client = Groq(api_key=GROQ_API_KEY)
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completion = client.chat.completions.create(
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model="llama3-70b-8192",
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messages=[
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{
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"role": "system",
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"content": "
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},
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{
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"role": "user",
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"content": "
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}
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],
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temperature=0,
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top_p=1,
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stream=False,
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stop=None,
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)
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print(completion.choices[0].message.content or "", end="")
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piperFlowText=extract_md_blocks(completion.choices[0].message.content)[0]
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print(piperFlowText)
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from fastapi import FastAPI, File, UploadFile
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import FileResponse
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from groq import Groq
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import os
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from dotenv import load_dotenv
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load_dotenv()
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app = FastAPI()
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GROQ_API_KEY = os.getenv("GROQ_API_KEY")
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@app.get("/")
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def read_root():
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return FileResponse("index.html")
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@app.post("/transcribe/")
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async def transcribe_audio(file: UploadFile = File(...)):
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client = Groq(api_key=GROQ_API_KEY)
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# Save the uploaded file temporarily
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with open(file.filename, "wb") as buffer:
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buffer.write(file.file.read())
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# Transcribe the audio file
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with open(file.filename, "rb") as audio_file:
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transcription = client.audio.transcriptions.create(
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file=(file.filename, audio_file.read()),
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model="distil-whisper-large-v3-en",#"whisper-large-v3",
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response_format="verbose_json",
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)
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# Remove the temporary file
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os.remove(file.filename)
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completion = client.chat.completions.create(
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model="llama3-70b-8192",
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messages=[
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{
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"role": "system",
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"content": """convert the statement paramedic or doctor to the strictly as per below json schema\n\n
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{
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"$schema": "http://json-schema.org/draft-07/schema#",
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"title": "Triage Assessment Form",
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"type": "object",
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"properties": {
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"voiceObservation": {
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"type": "string"
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},
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"patientInformation": {
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"type": "object",
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"properties": {
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"patientName": { "type": "string" },
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"age": { "type": "integer" },
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"gender": { "type": "string", "enum": ["male", "female", "other"] }
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},
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"required": ["patientName", "age", "gender"]
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},
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"abcdeAssessment": {
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"type": "object",
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"properties": {
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"airwayStatus": { "type": "string", "enum": ["clear", "obstructed", "partially obstructed"] },
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"breathingStatus": { "type": "string", "enum": ["normal", "labored", "not breathing"] },
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"circulationStatus": { "type": "string", "enum": ["normal", "weak", "absent"] },
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"disabilityStatus": { "type": "string", "enum": ["alert", "verbal", "pain", "unresponsive"] },
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"exposure": { "type": "string" }
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},
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"required": ["airwayStatus", "breathingStatus", "circulationStatus", "disabilityStatus", "exposure"]
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},
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"triageClassification": {
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"type": "object",
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"properties": {
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"triageCategory": { "type": "string", "enum": ["red", "yellow", "green", "black"] },
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"comments": { "type": "string" }
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},
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"required": ["triageCategory"]
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}
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},
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"required": ["patientInformation", "abcdeAssessment", "triageClassification"]
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}
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"""
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},
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{
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"role": "user",
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"content": "conver the paramedic statement to json " + transcription.text
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}
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],
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temperature=0.4,
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top_p=1,
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stream=False,
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stop=None,
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)
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print(completion.choices[0].message.content or "", end="")
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return {"transcription": transcription.text,"details":completion.choices[0].message.content}
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