rev-ai

import os import time from rev_ai import apiclient REVAI_ACCESS_TOKEN = os.environ.get('REVAI_ACCESS_TOKEN', 'YOUR_REVAI_ACCESS_TOKEN') AUDIO_FILE_PATH = 'path/to/your/audio.mp3' # Replace with your audio file path if not REVAI_ACCESS_TOKEN or REVAI_ACCESS_TOKEN == 'YOUR_REVAI_ACCESS_TOKEN': print("Please set the REVAI_ACCESS_TOKEN environment variable or replace 'YOUR_REVAI_ACCESS_TOKEN' with your actual token.") exit(1) if not os.path.exists(AUDIO_FILE_PATH): print(f"Audio file not found: {AUDIO_FILE_PATH}") print("Please replace 'path/to/your/audio.mp3' with a valid audio file path.") exit(1) # Create your client client = apiclient.RevAiAPIClient(REVAI_ACCESS_TOKEN) print(f"Submitting job for: {AUDIO_FILE_PATH}") # Submit a local file for transcription job = client.submit_job_local_file(AUDIO_FILE_PATH) job_id = job.id print(f"Job submitted with ID: {job_id}") # Polling for job completion (simple example, consider webhooks for production) while True: job_details = client.get_job_details(job_id) if job_details.status == 'transcribed': print("Job transcribed successfully!") break elif job_details.status == 'failed': print(f"Job failed: {job_details.failure_detail}") exit(1) else: print(f"Job status: {job_details.status}... waiting") time.sleep(5) # Wait 5 seconds before checking again # Retrieve transcript as text transcript_text = client.get_transcript_text(job_id) print("\n--- Transcript (Text) ---") print(transcript_text[:500]) # Print first 500 characters print("...") # You can also retrieve as JSON or a Python object # transcript_json = client.get_transcript_json(job_id) # transcript_object = client.get_transcript_object(job_id) # Delete the job (optional, but good practice for cost/data management) client.delete_job(job_id) print(f"Job {job_id} deleted.")