Introduction

Deepgram Audio Summarization by the Nova-2 Speech-to-Text model, introduces cutting-edge capabilities in generating accurate and efficient summaries for audio content. Leveraging the advancements of Nova-2, this model excels in transforming lengthy audio conversations into concise and meaningful summaries.

Deepgram Audio Summarization Model

• Utilizes the powerful Nova-2 Speech-to-Text model for accurate and reliable transcriptions.
• Offers automated summarization, reducing manual effort in generating call notes, meeting summaries, and podcast previews.
• Enhances user experience by providing efficient navigation through large volumes of audio content.

Run Deepgram Audio Summarization with an API

Running the API with Clarifai's Python SDK

You can run the Deepgram Audio Summarization Model API using Clarifai’s Python SDK.

Export your PAT as an environment variable. Then, import and initialize the API Client.

Find your PAT in your security settings.

export CLARIFAI_PAT={your personal access token}

from clarifai.client.model import Model
from pydub import AudioSegment
from scipy.io import wavfile

# files
wav_file = "test.wav"
AUDIO_FILE_LOCATION = 'record_out+(3).mp3'

# convert any audio file format to .wav audio file
sound = AudioSegment.from_file(AUDIO_FILE_LOCATION)
sound.export(wav_file, format="wav")
samplerate, data = wavfile.read(wav_file)

with open(wav_file, "rb") as f:
file_bytes = f.read()inference_params = dict(sample_rate = samplerate, punctuate = True, model= 'nova-2' )

summarization_model = Model("https://clarifai.com/deepgram/transcribe/models/audio-summarization", pat="YOUR PAT")
model_prediction = summarization_model.predict_by_bytes(file_bytes, "audio", inference_params=inference_params)

# Print the transcribed output
print("Output: ", model_prediction.outputs[0].data.text.raw)

You can also run Deepgram SST using other Clarifai Client Libraries like Java, cURL, NodeJS, PHP, etc here.

Use Cases

• Automatically generates call notes and meeting summaries, streamlining manual efforts in transcription.
• Facilitates analysis of important conversations by creating summaries, enabling users to navigate through numerous calls efficiently.
• Provides meaningful podcast previews, assisting listeners in identifying and exploring interesting conversations.

Disclaimer

Please be advised that this model utilizes wrapped Artificial Intelligence (AI) provided by Deepgram (the "Vendor"). These AI models may collect, process, and store data as part of their operations. By using our website and accessing these AI models, you hereby consent to the data practices of the Vendor. We do not have control over the data collection, processing, and storage practices of the Vendor. Therefore, we cannot be held responsible or liable for any data handling practices, data loss, or breaches that may occur. It is your responsibility to review the privacy policies and terms of service of the Vendor to understand their data practices. You can access the Vendor's privacy policy and terms of service at https://deepgram.com/privacy.

We disclaim all liability with respect to the actions or omissions of the Vendor, and we encourage you to exercise caution and to ensure that you are comfortable with these practices before utilizing the AI models hosted on our site.