diff --git a/04-UX-demos/04-speech-to-speech-assistant/.gitignore b/04-UX-demos/04-speech-to-speech-assistant/.gitignore new file mode 100644 index 0000000..505a3b1 --- /dev/null +++ b/04-UX-demos/04-speech-to-speech-assistant/.gitignore @@ -0,0 +1,10 @@ +# Python-generated files +__pycache__/ +*.py[oc] +build/ +dist/ +wheels/ +*.egg-info + +# Virtual environments +.venv diff --git a/04-UX-demos/04-speech-to-speech-assistant/README.md b/04-UX-demos/04-speech-to-speech-assistant/README.md new file mode 100644 index 0000000..570f467 --- /dev/null +++ b/04-UX-demos/04-speech-to-speech-assistant/README.md @@ -0,0 +1,45 @@ +# Speech to speech assistant + +Speech to speech agent powered by [FastRTC](https://fastrtc.org/) and [Strands SDK](https://github.com/strands-agents/sdk-python). + +- [Moonshine](https://huggingface.co/UsefulSensors/moonshine) for the speech to text part (running locally) +- Claude 3.5 Haiku for the strands agent (Bedrock call) +- [Kokoro](https://huggingface.co/spaces/hexgrad/Kokoro-TTS) for the text to speech part (running locally) + +![Agent architecture](img/architecture.png) + +## Prerequisites + +1. Ensure you enable model access to Anthropic Claude 3.5 Haiku (anthropic.claude-3-5-haiku-20241022-v1) in the Bedrock console in all the regions used by the system defined profile used by this sample. To use a different model, update the line containing `model_id="us.anthropic.claude-3-5-haiku-20241022-v1:0"` in [main.py](./main.py). +2. Chrome, Safari, or Edge browser environment (Firefox is currently not supported) +3. Microphone and speakers +4. [Python](https://www.python.org/downloads/) 3.11 or higher + +## Getting started + +1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/). + +2. Run `uv run main.py` + +## Usage + +1. Once the sample is running, access the UI at `http://127.0.0.1:7860` through a web browser. + +2. Click to access microphone, then hit `record`. Once it is connected, you can interact with the agent. + +## Agent description + +### Agent Details + +|Feature |Description | +|--------------------|-----------------------------------------------------------| +|Native tools used |None | +|Agent Structure |Single agent architecture | +|Model Provider | Amazon Bedrock| + +## Sample queries + +Here are some sample queries you can try with this agent: + +* What is your name? +* How old are you ? diff --git a/04-UX-demos/04-speech-to-speech-assistant/img/architecture.png b/04-UX-demos/04-speech-to-speech-assistant/img/architecture.png new file mode 100644 index 0000000..23028f1 Binary files /dev/null and b/04-UX-demos/04-speech-to-speech-assistant/img/architecture.png differ diff --git a/04-UX-demos/04-speech-to-speech-assistant/main.py b/04-UX-demos/04-speech-to-speech-assistant/main.py new file mode 100644 index 0000000..a3344cc --- /dev/null +++ b/04-UX-demos/04-speech-to-speech-assistant/main.py @@ -0,0 +1,94 @@ +""" +main.py +Speech-to-speech assistant demo using Strands, Bedrock, and FastRTC. +""" +import logging +from strands import Agent +from strands.models import BedrockModel +from fastrtc import ( + get_stt_model, # moonshine/base or moonshine/tiny + get_tts_model, #kokoro + Stream, + ReplyOnPause, + KokoroTTSOptions, +) + +# Configure logging +logging.getLogger("strands").setLevel(logging.INFO) + +logging.basicConfig( + format="%(levelname)s | %(name)s | %(message)s", + handlers=[logging.StreamHandler()] +) + +# System prompt for agent +system_prompt = """ +You are a helpful assistant named Olaf, answering questions from the user. +- Be clear, concise, and specific in your answers. +- If you don't know the answer, say "I don't know". +- If you don't have the information you need to answer a question, say "I don't know". +""" + +# Initialize models +stt_model = get_stt_model() # Speech-to-text model +tts_model = get_tts_model(model="kokoro") # Text-to-speech model + +# Configure the TTS model options +# KokoroTTSOptions allows you to set the voice, speed, and language + +tts_options = KokoroTTSOptions( + voice="af_heart", + speed=1.0, + lang="en-us" +) + +def process_response(audio): + """ + Process audio input and generate LLM response with TTS. + + Args: + audio (bytes): Audio input data. + Yields: + bytes: Audio chunks of the TTS response. + """ + # Convert speech to text using STT model + text = stt_model.stt(audio) + if not text.strip(): + return + + # Get response from agent (LLM) + response = agent(text) + # Extract the content string from AgentResult + response_content = getattr(response, "content", str(response)) + + # Convert response to audio using TTS model + for audio_chunk in tts_model.stream_tts_sync(response_content or "", options=tts_options): + # Yield the audio chunk + yield audio_chunk + +# BedrockModel is used to access Anthropic Claude 3.5 Haiku via AWS Bedrock +bedrock_model = BedrockModel( + model_id="us.anthropic.claude-3-5-haiku-20241022-v1:0", + region_name='us-west-2', + temperature=0.3, +) + +# Agent wraps the LLM and system prompt +agent = Agent(model=bedrock_model, system_prompt=system_prompt) + +# Stream handles the audio input/output and UI +stream = Stream( + handler=ReplyOnPause(process_response, input_sample_rate=16000), + additional_outputs_handler=lambda a, b: b, # Pass-through handler for additional outputs + modality="audio", + mode="send-receive", + ui_args={ + "pulse_color": "rgb(255, 255, 255)", + "icon_button_color": "rgb(255, 255, 255)", + "title": "🔊 Audio Assistant", + }, +) + +if __name__ == "__main__": + # Launch the UI on port 7860 + stream.ui.launch(server_port=7860) \ No newline at end of file diff --git a/04-UX-demos/04-speech-to-speech-assistant/pyproject.toml b/04-UX-demos/04-speech-to-speech-assistant/pyproject.toml new file mode 100644 index 0000000..5db8fd3 --- /dev/null +++ b/04-UX-demos/04-speech-to-speech-assistant/pyproject.toml @@ -0,0 +1,11 @@ +[project] +name = "strands-experiment" 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Built entirely in Python, it offers a quick starting point for GenAI web applications, supporting both local development and AWS deployment with user authentication. The sample provides a complete AWS infrastructure using CDK including Cognito authentication, ECS/Fargate deployment, and CloudFront distribution. The template demonstrates the architecture with a sample appointment management agent, which can be easily replaced with any custom logic.| | 2 | [Data Analyst Assistant for Video Game Sales](./02-video-games-sales-assistant/) | This reference solution deploys a conversational data analyst assistant that transforms natural language questions about video game sales into SQL queries for PostgreSQL databases. Built with the Strands Agents SDK and featuring an integrated, ready-to-use Data Analyst Assistant application, it delivers AI-generated insights, tabular data, and automatic visualizations. This solution enables intuitive data exploration without requiring SQL knowledge.| -| 3 | [HVAC data analytics agent](./03-hvac-data-analytics-agent/) | A lightweight conversational AI agent built with Strands SDK that assists facility managers and building operators with HVAC (Heating, Ventilation, and Air Conditioning) data analytics in physical smart buildings. The agent queries relevant data sources and dynamically generates code to process building sensor data before answering user questions.. | - +| 3 | [HVAC data analytics agent](./03-hvac-data-analytics-agent/) | A lightweight conversational AI agent built with Strands SDK that assists facility managers and building operators with HVAC (Heating, Ventilation, and Air Conditioning) data analytics in physical smart buildings. The agent queries relevant data sources and dynamically generates code to process building sensor data before answering user questions. | +| 4 | [Speech to Speech Assistant](./04-speech-to-speech-assistant/) | A voice assistant (speech to speech) agent powered by [FastRTC](https://fastrtc.org/) and [Strands SDK](https://github.com/strands-agents/sdk-python). |