157 lines
6 KiB
Markdown
157 lines
6 KiB
Markdown
<div align="center">
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[](https://twitter.com/vocodehq) [](https://github.com/vocodedev/vocode-python)
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[Community](https://discord.gg/NaU4mMgcnC) | [Docs](https://docs.vocode.dev) | [Dashboard](https://app.vocode.dev)
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</div>
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# <span><img style='vertical-align:middle; display:inline;' src="https://user-images.githubusercontent.com/6234599/228339858-95a0873a-2d40-4542-963a-6358d19086f5.svg" width="5%" height="5%">vocode</span>
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### **Build voice-based LLM apps in minutes**
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Vocode is an open source library that makes it easy to build voice-based LLM apps. Using Vocode, you can build real-time streaming conversations with LLMs and deploy them to phone calls, Zoom meetings, and more. You can also build personal assistants or apps like voice-based chess. Vocode provides easy abstractions and integrations so that everything you need is in a single library.
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# ⭐️ Features
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- 🗣 Spin up a conversation with your system audio in minutes
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- ➡️ 📞 Set up a phone number that responds with a LLM-based agent
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- 📞 ➡️ Send out phone calls from your phone number managed by an LLM-based agent
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- Out of the box integrations with:
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- Transcription services, including:
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- [Deepgram](https://deepgram.com/)
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- [AssemblyAI](https://www.assemblyai.com/)
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- [Google Cloud](https://cloud.google.com/speech-to-text)
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- [Whisper](https://openai.com/blog/introducing-chatgpt-and-whisper-apis)
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- LLMs, including:
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- [ChatGPT](https://openai.com/blog/chatgpt)
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- [GPT-4](https://platform.openai.com/docs/models/gpt-4)
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- [Anthropic](https://www.anthropic.com/) - coming soon!
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- Synthesis services, including:
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- [Microsoft Azure](https://azure.microsoft.com/en-us/products/cognitive-services/text-to-speech/)
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- [Google Cloud](https://cloud.google.com/text-to-speech)
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- [Eleven Labs](https://elevenlabs.io/)
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Check out our React SDK [here](https://github.com/vocodedev/vocode-react-sdk)!
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# ☁️ Quickstart (Hosted)
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First, get a *free* API key from our [dashboard](https://app.vocode.dev).
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```bash
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pip install 'vocode[io]'
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```
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```python
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import asyncio
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import signal
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import vocode
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from vocode.streaming.hosted_streaming_conversation import HostedStreamingConversation
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from vocode.streaming.streaming_conversation import StreamingConversation
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from vocode.helpers import create_microphone_input_and_speaker_output
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from vocode.streaming.models.transcriber import (
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DeepgramTranscriberConfig,
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PunctuationEndpointingConfig,
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)
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from vocode.streaming.models.agent import ChatGPTAgentConfig
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from vocode.streaming.models.message import BaseMessage
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from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
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vocode.api_key = "<your API key>"
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if __name__ == "__main__":
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microphone_input, speaker_output = create_microphone_input_and_speaker_output(
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streaming=True, use_default_devices=False
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)
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conversation = HostedStreamingConversation(
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input_device=microphone_input,
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output_device=speaker_output,
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transcriber_config=DeepgramTranscriberConfig.from_input_device(
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microphone_input,
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endpointing_config=PunctuationEndpointingConfig(),
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),
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agent_config=ChatGPTAgentConfig(
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initial_message=BaseMessage(text="Hello!"),
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prompt_preamble="Have a pleasant conversation about life",
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),
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synthesizer_config=AzureSynthesizerConfig.from_output_device(speaker_output),
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)
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signal.signal(signal.SIGINT, lambda _0, _1: conversation.deactivate())
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asyncio.run(conversation.start())
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```
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# 🚀 Quickstart (Self-hosted)
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```bash
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pip install 'vocode[io]'
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```
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```python
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import asyncio
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import signal
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import vocode
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from vocode.streaming.streaming_conversation import StreamingConversation
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from vocode.helpers import create_microphone_input_and_speaker_output
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from vocode.streaming.models.transcriber import (
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DeepgramTranscriberConfig,
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PunctuationEndpointingConfig,
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)
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from vocode.streaming.models.agent import ChatGPTAgentConfig
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from vocode.streaming.models.message import BaseMessage
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from vocode.streaming.models.synthesizer import AzureSynthesizerConfig
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# these can also be set as environment variables
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vocode.setenv(
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OPENAI_API_KEY="<your OpenAI key>",
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DEEPGRAM_API_KEY="<your Deepgram key>",
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AZURE_SPEECH_KEY="<your Azure key>",
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AZURE_SPEECH_REGION="<your Azure region>",
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)
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async def main():
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microphone_input, speaker_output = create_microphone_input_and_speaker_output(
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streaming=True, use_default_devices=False
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)
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conversation = StreamingConversation(
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output_device=speaker_output,
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transcriber_config=DeepgramTranscriberConfig.from_input_device(
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microphone_input, endpointing_config=PunctuationEndpointingConfig()
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),
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agent_config=ChatGPTAgentConfig(
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initial_message=BaseMessage(text="Hello!"),
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prompt_preamble="Have a pleasant conversation about life",
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),
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synthesizer_config=AzureSynthesizerConfig.from_output_device(speaker_output),
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)
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await conversation.start()
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print("Conversation started, press Ctrl+C to end")
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signal.signal(signal.SIGINT, lambda _0, _1: conversation.terminate())
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while conversation.is_active():
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chunk = microphone_input.get_audio()
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if chunk:
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conversation.receive_audio(chunk)
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await asyncio.sleep(0)
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if __name__ == "__main__":
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asyncio.run(main())
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```
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# 📞 Phone call quickstarts
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- [Inbound calls - Hosted](https://docs.vocode.dev/telephony#inbound-calls)
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- [Outbound calls - Hosted](https://docs.vocode.dev/telephony#outbound-calls)
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- [Telephony Server - Self-hosted](https://github.com/vocodedev/vocode-python/blob/main/examples/telephony_app.py)
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# 🌱 Documentation
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[docs.vocode.dev](https://docs.vocode.dev/)
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