Use Realistic Text to Speech with Langchain Python

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Realistic Text to Speech is a text-to-speech tool that generates human-like audio from written text. It uses advanced neural network models to produce natural-sounding speech in a variety of languages and voices.

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1. 🔑 Connect your Realistic Text t

2. ✅ Select an action

3. 🚀 Go live with the agent

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API actions for Realistic Text to Speech for AI assitants/agents

Language

PYTHON

Framework

Generate Speech

Convert text input to realistic speech audio output.

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

Change Voice

Switch to a different voice model for text-to-speech conversion.

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

Adjust Speaking Rate

Modify the speed of speech generation.

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

Set Language

Choose the language for text-to-speech conversion.

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

Add Emphasis

Apply emphasis to specific words or phrases in the generated speech.

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

Insert Pause

Add a pause or break in the generated speech.

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

Adjust Pitch

Modify the pitch of the generated speech.

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

Apply Voice Effect

Add audio effects to the generated speech, such as echo or reverb.

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

Generate Multiple Voices

Create a conversation with multiple distinct voices.

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

Save Audio File

Save the generated speech as an audio file in a specified format.

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

Batch Process

Convert multiple text inputs to speech in a single operation.

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

Add Background Music

Incorporate background music into the generated speech audio.

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

Emotional Tone Adjustment

Modify the emotional tone of the generated speech.

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

Text Preprocessing

Clean and format input text before speech generation.

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

Voice Cloning

Create a custom voice model based on provided audio samples.

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

Pronunciation Dictionary

Add or modify pronunciations for specific words or phrases.

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

Generate SSML

Create Speech Synthesis Markup Language (SSML) for advanced speech control.

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

Audio Mixing

Combine generated speech with other audio files.

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

Text Sentiment Analysis

Analyze input text sentiment to adjust speech generation accordingly.

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

Generate Lip Sync Data

Create lip synchronization data for animation purposes.

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

Speech Generation Complete

Triggered when the text-to-speech conversion process is finished.

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

Voice Model Updated

Triggered when a voice model is updated or changed.

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

Language Detection

Triggered when the system detects the language of the input text.

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

Error Occurred

Triggered when an error occurs during the text-to-speech process.

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

Pronunciation Added

Triggered when a new pronunciation is added to the dictionary.

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

Audio File Saved

Triggered when a generated speech audio file is successfully saved.

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

Batch Process Complete

Triggered when a batch text-to-speech process is finished.

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

Voice Cloning Complete

Triggered when the voice cloning process is completed.

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

Speaking Rate Changed

Triggered when the speaking rate of the text-to-speech is modified.

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

New Voice Added

Triggered when a new voice is added to the available voice options.

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

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 Realistic Text to Speech?

Composio.dev seamlessly integrates with Realistic Text to Speech, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use Realistic Text to Speech 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 Realistic Text to Speech and langchain_python?

When using Realistic Text to Speech 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 Realistic Text to Speech with langchain_python?

Integrating Realistic Text to Speech with langchain_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both Realistic Text to Speech 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 Realistic Text to Speech and langchain_python?

Both Realistic Text to Speech 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 Realistic Text to Speech and langchain_python?

Realistic Text to Speech 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 Realistic Text to Speech 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 Realistic Text to Speech to my project?

Absolutely! You can easily incorporate Realistic Text to Speech into your project by utilizing the Composio.dev API. This API allows you to call functions from both Realistic Text to Speech 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 Realistic Text to Speech and langchain_python?

Realistic Text to Speech 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 Realistic Text to Speech and langchain_python?

Realistic Text to Speech 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 Realistic Text to Speech handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and Realistic Text to Speech 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. Realistic Text to Speech 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 Realistic Text to Speech for your AI development needs.

Can I customize Realistic Text to Speech and langchain_python for my specific needs?

Absolutely! Realistic Text to Speech 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 Realistic Text to Speech and langchain_python?

Realistic Text to Speech 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.