Use Deepgram with Langchain Python

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Deepgram is a speech recognition and transcription service that uses deep learning technology to provide accurate and scalable speech-to-text conversion. It is designed for developers to easily integrate speech recognition capabilities into their applications.

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1. 🔑 Connect your Deepgram account

2. ✅ Select an action

3. 🚀 Go live with the agent

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API actions for Deepgram for AI assitants/agents

Language

PYTHON

Framework

Transcribe Audio

Transcribe an audio file or stream into text using Deepgram's AI-powered speech recognition.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRANSCRIBE_AUDIO])

Analyze Sentiment

Analyze the sentiment of transcribed text to determine the emotional tone.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ANALYZE_SENTIMENT])

Detect Language

Automatically detect the language spoken in an audio file or stream.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DETECT_LANGUAGE])

Generate Summary

Create a concise summary of the transcribed content.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_SUMMARY])

Extract Keywords

Identify and extract key terms or phrases from the transcribed text.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EXTRACT_KEYWORDS])

Identify Speakers

Distinguish between different speakers in a multi-speaker audio file.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.IDENTIFY_SPEAKERS])

Detect Topics

Analyze transcribed content to identify main topics discussed.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DETECT_TOPICS])

Generate Timestamps

Create timestamps for specific words or phrases in the audio.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_TIMESTAMPS])

Redact Sensitive Information

Automatically redact sensitive information from transcripts, such as names or numbers.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.REDACT_SENSITIVE_INFO])

Convert Audio Format

Convert audio files to a format compatible with Deepgram's transcription service.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CONVERT_AUDIO_FORMAT])

Classify Intent

Determine the intent of the speaker based on the transcribed content.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CLASSIFY_INTENT])

Generate Subtitles

Create subtitle files from transcribed audio for video content.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_SUBTITLES])

Translate Transcript

Translate the transcribed text into another language.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRANSLATE_TRANSCRIPT])

Detect Profanity

Identify and flag instances of profanity in the transcribed content.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DETECT_PROFANITY])

Calculate Speaking Rate

Analyze the speaking rate (words per minute) of the audio content.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CALCULATE_SPEAKING_RATE])

New Transcription Completed

Triggered when a new audio transcription is completed by Deepgram.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_TRANSCRIPTION_COMPLETED])

Sentiment Threshold Reached

Triggered when the sentiment analysis score reaches a specified threshold.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SENTIMENT_THRESHOLD_REACHED])

Keyword Detected

Triggered when a specific keyword or phrase is detected in the transcription.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.KEYWORD_DETECTED])

Language Change Detected

Triggered when the detected language changes during transcription.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.LANGUAGE_CHANGE_DETECTED])

Silence Detected

Triggered when a period of silence is detected in the audio.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SILENCE_DETECTED])

High Confidence Score

Triggered when the transcription confidence score exceeds a specified threshold.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.HIGH_CONFIDENCE_SCORE])

Low Confidence Score

Triggered when the transcription confidence score falls below a specified threshold.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.LOW_CONFIDENCE_SCORE])

New Speaker Detected

Triggered when a new speaker is identified in a multi-speaker audio file.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_SPEAKER_DETECTED])

Profanity Detected

Triggered when profanity is detected in the transcribed content.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.PROFANITY_DETECTED])

Transcription Error Occurred

Triggered when an error occurs during the transcription process.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRANSCRIPTION_ERROR_OCCURRED])

Audio Duration Exceeded

Triggered when the duration of the audio file exceeds a specified limit.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.AUDIO_DURATION_EXCEEDED])

Custom Vocabulary Match

Triggered when a word or phrase from a custom vocabulary list is detected.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CUSTOM_VOCABULARY_MATCH])

Topic Change Detected

Triggered when a significant change in topic is detected during transcription.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TOPIC_CHANGE_DETECTED])

Quota Usage Alert

Triggered when the API usage reaches a certain percentage of the quota limit.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.QUOTA_USAGE_ALERT])

Transcription Queue Full

Triggered when the transcription queue reaches its capacity.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.TRANSCRIPTION_QUEUE_FULL])

Frequently asked questions

What is Composio.dev?

Composio.dev is a cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support Deepgram?

Composio.dev seamlessly integrates with Deepgram, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use Deepgram to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with Deepgram and langchain_python?

When using Deepgram and langchain_python, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate Deepgram with langchain_python?

Integrating Deepgram with langchain_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both Deepgram and langchain_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.

What is the pricing for Deepgram and langchain_python?

Both Deepgram and langchain_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.

What kind of authentication is supported for Deepgram and langchain_python?

Deepgram and langchain_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both Deepgram and langchain_python seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add Deepgram to my project?

Absolutely! You can easily incorporate Deepgram into your project by utilizing the Composio.dev API. This API allows you to call functions from both Deepgram and langchain_python, enabling you to leverage their capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add these powerful tools to your project with ease.

What is the accuracy of Deepgram and langchain_python?

Deepgram and langchain_python are designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. The comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for Deepgram and langchain_python?

Deepgram and langchain_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, these tools can help you bring your ideas to life.

How does Deepgram handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and Deepgram takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. Deepgram provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using Deepgram for your AI development needs.

Can I customize Deepgram and langchain_python for my specific needs?

Absolutely! Deepgram and langchain_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.

What kind of support and documentation is available for Deepgram and langchain_python?

Deepgram and langchain_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.