AI Voice Chat with Context and Text-to-Speech
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Enables AI voice conversations by transcribing speech, managing context, generating responses, and converting text to speech.
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About This Workflow
Overview
This workflow allows for interactive voice-based conversations with an AI. It takes voice input via a webhook, transcribes it using OpenAI's Speech-to-Text, maintains conversational context using memory nodes, generates AI responses with Google Gemini, and converts the text response back into speech using ElevenLabs.
Key Features
- Voice input via webhook.
- Speech to text transcription using OpenAI.
- Context management for natural conversations.
- AI response generation with Google Gemini.
- Text to speech conversion using ElevenLabs.
- Option to use other TTS services like OpenAI.
- Production-ready and optimized.
How To Use
- Set up Webhook: Configure the 'Webhook' node with your desired path (e.g.,
voice_message) and HTTP method (POST). - OpenAI Credentials: Provide your OpenAI API key to the 'OpenAI - Speech to Text' node.
- Google Gemini Credentials: Provide your Google Gemini API key to the 'Google Gemini Chat Model' node.
- ElevenLabs Credentials: Configure the 'HTTP Request' node for ElevenLabs. Provide your ElevenLabs API key and the desired Voice ID in the URL or headers as instructed in the 'Sticky Note2' node.
- Memory Management: Configure the 'Window Buffer Memory' node and 'Insert Chat'/'Get Chat' nodes with appropriate session keys or identifiers to maintain conversation history.
- Trigger: Send a voice message to the configured webhook URL.
Apps Used
Workflow JSON
{
"id": "8329c93a-098d-41f0-9b57-adb56ed8e513",
"name": "AI Voice Chat with Context and Text-to-Speech",
"nodes": 0,
"category": "AI & Machine Learning",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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