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# main.py (python example) | |
import os | |
from dotenv import load_dotenv | |
from deepgram import ( | |
DeepgramClient, | |
PrerecordedOptions, | |
FileSource, | |
) | |
load_dotenv() | |
# Path to the audio file | |
AUDIO_FILE = r"C:\Users\Naresh Kumar Lahajal\Desktop\FINAL\media\recorded.mp3" | |
API_KEY = os.getenv("DG_API_KEY") | |
def speech_to_text(): | |
try: | |
# STEP 1 Create a Deepgram client using the API key | |
deepgram = DeepgramClient(API_KEY) | |
with open(AUDIO_FILE, "rb") as file: | |
buffer_data = file.read() | |
payload: FileSource = { | |
"buffer": buffer_data, | |
} | |
#STEP 2: Configure Deepgram options for audio analysis | |
options = PrerecordedOptions( | |
model="nova-2", | |
smart_format=True, | |
) | |
# STEP 3: Call the transcribe_file method with the text payload and options | |
response = deepgram.listen.prerecorded.v("1").transcribe_file(payload, options) | |
# STEP 4: Print the response | |
#print(response.to_json(indent=4)) | |
#print(response["results"]["channels"][0]["alternatives"][0]["transcript"]) | |
return str(response["results"]["channels"][0]["alternatives"][0]["transcript"]) | |
except Exception as e: | |
print(f"Exception: {e}") | |