Transcribe Audio and Ask Questions Using the AssemblyAI Lemur Model

import os
from dotenv import load_dotenv
import assemblyai as aai

# Load environment variables from .env file
load_dotenv()

# Get AssemblyAI API key from environment variables
aai.settings.api_key = os.getenv('ASSEMBLYAI_API_KEY')

# Initialize a Transcriber object to handle transcription tasks
transcriber = aai.Transcriber()

# To transcribe a new audio file, uncomment the next line and provide the file URL
# transcript = transcriber.transcribe("https://example.org/customer.mp3")

# If you already have a transcript ID, you can retrieve the transcript directly
# Replace the ID with your actual transcript ID
transcript = aai.Transcript.get_by_id("6frp2s8rav-72b6-4b3a-8605-60c5ef112ef8")
print(transcript)  # Print the transcript to verify its content

# Define a list of questions to ask on the transcript using the Lemur model
questions = [
    aai.LemurQuestion(
        question="What kind of equipment does Cassidy use?",
        answer_format="Provide a Summary in a paragraph format."
    ),
    aai.LemurQuestion(
        question="Who are the speakers?",
        answer_format="Short sentence"
    ),
    aai.LemurQuestion(
        question="Are there any recommendations or tips for people getting started with live streaming and handling fears and jitters?",
        answer_format="Bullet list"
    )
]

# Use the Lemur model to ask the defined questions on the transcript
result = transcript.lemur.question(questions)

# Loop through each question and its corresponding answer, and print them
for q in result.response:
    print(f"Question: {q.question}")
    print(f"Answer: {q.answer}")