main.py

from marsview.speechAnalytics import SpeechAnalyticsAPI
import config
#--
import json
from pprint import pprint

def formatConfig(transaction_id,conf=config.SPEECH_TO_TEXT_CONFIG):
    conf["txnId"] = transaction_id
    return conf

if __name__ == "__main__":
    #step 1 (Create JWT Token)
    sapi = SpeechAnalyticsAPI(
        apiKey = config.API_KEY,
        apiToken = config.API_TOKEN,
        userId = config.USER_ID
    )
    
    #step 2 (Upload file)
    _, data = sapi.uploadFile(file_path = "/home/rahul/Downloads/Recruitment_Meeting.mp4",
                              title= "Recruitment Meeting",
                              description= "A sample recruitment meeting file."
                             )
    pprint(data)
    transaction_id = data["data"]["txnId"]

    #step 3 (Upload Compute Request)
    compute_payload = formatConfig(transaction_id,conf=config.SPEECH_TO_TEXT_CONFIG)
    _ , compute_data = sapi.sendComputeRequest(payload=compute_payload)
    pprint(compute_data)

    #step 4 (Long Polling)
    #NOTE: This step is used to wait for the uploaded request to complete
    sapi.long_polling(transaction_id)
    

    #step 5 (Fetch Metadata)
    metadata = sapi.get_metadata(transaction_id)
    pprint(metadata)
    with open("./speechAnalytics Output TID-{}.json".format(transaction_id), 'w') as metaFile:
        metaFile.write(json.dumps(metadata))