From 87acdb8dfff8287985eff12a02e74e0c2df21caf Mon Sep 17 00:00:00 2001 From: Freddy Boulton Date: Thu, 12 Dec 2024 11:46:36 -0800 Subject: [PATCH] Gradio demo for real-time conversations with WebRTC (#150) Co-authored-by: freddyaboulton --- README.md | 2 + poetry.lock | 8126 ++++++++++++++++++-------------- pyproject.toml | 3 +- ultravox/tools/gradio_demo.py | 6 +- ultravox/tools/gradio_voice.py | 111 + 5 files changed, 4641 insertions(+), 3607 deletions(-) create mode 100644 ultravox/tools/gradio_voice.py diff --git a/README.md b/README.md index 45a1c13a..f21c9ffd 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,8 @@ Ultravox currently takes in audio and emits streaming text. As we evolve the mod See Ultravox in action on our [demo page](https://demo.ultravox.ai). +You can run the Gradio demo locally with `just gradio`. You can run the demo in "voice mode" which allows natural audio conversations with ultravox by running `just gradio --voice_mode=True` + ### Discord Join us on our Discord server [here](https://discord.gg/Qw6KHxv8YB). diff --git a/poetry.lock b/poetry.lock index 7465e884..01a19f53 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand. 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"acb1ba276c2cd9177fa99e97040aca282b0a4fed7914d3f22cb24e2c35beda4d" diff --git a/pyproject.toml b/pyproject.toml index d11c699c..6148c791 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -42,8 +42,7 @@ fsspec = "~2024.3.1" gcsfs = "~2024.3.1" sounddevice = "~0.4.7" mosaicml-cli = "~0.6.31" -gradio-client = ">=0.16.1" -gradio = ">=4.29.0" +gradio-webrtc = {version = ">0.0.19", extras = ["vad"]} gpustat = "~1.1.1" types-requests = "~2.26.0" types-pyyaml = "^6.0.12.20240724" diff --git a/ultravox/tools/gradio_demo.py b/ultravox/tools/gradio_demo.py index a13cc4c1..410aadf3 100644 --- a/ultravox/tools/gradio_demo.py +++ b/ultravox/tools/gradio_demo.py @@ -7,6 +7,7 @@ from ultravox import data as datasets from ultravox.inference import base as infer_base from ultravox.tools import gradio_helper +from ultravox.tools.gradio_voice import make_demo DEMO_INSTRUCTION: str = """Enter your prompt here (audio will be inserted at the end or at <|audio|>). @@ -27,6 +28,7 @@ class DemoConfig: default_prompt: str = "" max_new_tokens: int = 200 temperature: float = 0 + voice_mode: bool = False args = simple_parsing.parse(config_class=DemoConfig) @@ -153,6 +155,8 @@ def gradio_reset(): demo.load(gradio_reset, [], [chatbot, prompt, audio], queue=False) +if args.voice_mode: + demo = make_demo(args, inference) + if __name__ == "__main__": - demo.queue() demo.launch(share=True) diff --git a/ultravox/tools/gradio_voice.py b/ultravox/tools/gradio_voice.py new file mode 100644 index 00000000..634a8e7f --- /dev/null +++ b/ultravox/tools/gradio_voice.py @@ -0,0 +1,111 @@ +from typing import cast + +import gradio as gr +import numpy as np +from gradio.utils import get_space +from gradio_webrtc import AdditionalOutputs +from gradio_webrtc import ReplyOnPause +from gradio_webrtc import WebRTC +from gradio_webrtc import get_turn_credentials + +from ultravox import data as datasets +from ultravox.inference import base as infer_base +from ultravox.inference import ultravox_infer + +rtc_configuration = None +if get_space(): + rtc_configuration = get_turn_credentials(method="twilio") + + +def make_demo(args, inference): + + def transcribe( + audio: tuple[int, np.ndarray], + conversation: list[dict], + max_new_tokens: int = 200, + temperature: float = 0, + ): + + sampling_rate, audio_array = audio + + conversation.append( + { + "role": "user", + "content": gr.Audio(value=(sampling_rate, audio_array.squeeze())), + } + ) + yield AdditionalOutputs(conversation) + + sample = datasets.VoiceSample.from_prompt_and_raw( + "<|audio|>", audio_array.squeeze(), sampling_rate + ) + + output = cast(ultravox_infer.UltravoxInference, inference).infer_stream( + sample, + max_tokens=max_new_tokens, + temperature=temperature, + ) + conversation.append({"role": "assistant", "content": ""}) + for chunk in output: + if isinstance(chunk, infer_base.InferenceChunk): + conversation[-1]["content"] += chunk.text + yield AdditionalOutputs(conversation) + + with gr.Blocks() as voice_demo: + + placeholder = """ +

+ Talk to Ultravox Llama 3.1 8b (Powered by WebRTC ⚡️) +

+

+ Once you grant access to your microphone, you can talk naturally to Ultravox. + When you stop talking, the audio will be sent for processing. +

+

+ Each conversation is limited to 90 seconds. Once the time limit is up you can rejoin the conversation. +

+""" + with gr.Row(): + conversation = gr.Chatbot( + label="transcript", placeholder=placeholder, type="messages" + ) + with gr.Row(): + with gr.Column(scale=4): + audio = WebRTC( + rtc_configuration=rtc_configuration, + label="Stream", + mode="send", + modality="audio", + ) + with gr.Column(scale=1): + max_new_tokens = gr.Slider( + minimum=50, + maximum=2000, + value=args.max_new_tokens, + step=10, + interactive=True, + label="max_new_tokens", + ) + temperature = gr.Slider( + minimum=0, + maximum=5.0, + value=args.temperature, + step=0.1, + interactive=True, + label="temperature", + ) + + audio.stream( + ReplyOnPause(transcribe, input_sample_rate=16000), + inputs=[audio, conversation, max_new_tokens, temperature], + outputs=[audio], + time_limit=90, + ) + audio.on_additional_outputs( + lambda g: g, + outputs=[conversation], + queue=False, + show_progress="hidden", + ) + + return voice_demo