Rebrand to FastRTC (#60)

* Add code * add code * add code * Rename messages * rename * add code * Add demo * docs + demos + bug fixes * add code * styles * user guide * Styles * Add code * misc docs updates * print nit * whisper + pr * url for images * whsiper update * Fix bugs * remove demo files * version number * Fix pypi readme * Fix * demos * Add llama code editor * Update llama code editor and object detection cookbook * Add more cookbook demos * add code * Fix links for PR deploys * add code * Fix the install * add tts * TTS docs * Typo * Pending bubbles for reply on pause * Stream redesign (#63) * better error handling * Websocket error handling * add code --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local> * remove docs from dist * Some docs typos * more typos * upload changes + docs * docs * better phone * update docs * add code * Make demos better * fix docs + websocket start_up * remove mention of FastAPI app * fastphone tweaks * add code * ReplyOnStopWord fixes * Fix cookbook * Fix pypi readme * add code * bump versions * sambanova cookbook * Fix tags * Llm voice chat * kyutai tag * Add error message to all index.html * STT module uses Moonshine * Not required from typing extensions * fix llm voice chat * Add vpn warning * demo fixes * demos * Add more ui args and gemini audio-video * update cookbook * version 9 --------- Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local>
2026-02-05 18:09:23 +08:00 · 2025-02-24 01:13:42 -05:00
parent 36190066ec
commit 853d6a06b5
131 changed files with 12349 additions and 4741 deletions
--- a/demo/llm_voice_chat/app.py
+++ b/demo/llm_voice_chat/app.py
@@ -0,0 +1,101 @@
+import os
+import time
+
+import gradio as gr
+import numpy as np
+from dotenv import load_dotenv
+from elevenlabs import ElevenLabs
+from fastapi import FastAPI
+from fastrtc import (
+    AdditionalOutputs,
+    ReplyOnPause,
+    Stream,
+    WebRTCError,
+    get_stt_model,
+    get_twilio_turn_credentials,
+)
+from gradio.utils import get_space
+from groq import Groq
+from numpy.typing import NDArray
+
+load_dotenv()
+groq_client = Groq()
+tts_client = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))
+stt_model = get_stt_model()
+
+
+# See "Talk to Claude" in Cookbook for an example of how to keep
+# track of the chat history.
+def response(
+    audio: tuple[int, NDArray[np.int16 | np.float32]],
+    chatbot: list[dict] | None = None,
+):
+    try:
+        chatbot = chatbot or []
+        messages = [{"role": d["role"], "content": d["content"]} for d in chatbot]
+        start = time.time()
+        text = stt_model.stt(audio)
+        print("transcription", time.time() - start)
+        print("prompt", text)
+        chatbot.append({"role": "user", "content": text})
+        yield AdditionalOutputs(chatbot)
+        messages.append({"role": "user", "content": text})
+        response_text = (
+            groq_client.chat.completions.create(
+                model="llama-3.1-8b-instant",
+                max_tokens=512,
+                messages=messages,  # type: ignore
+            )
+            .choices[0]
+            .message.content
+        )
+
+        chatbot.append({"role": "assistant", "content": response_text})
+
+        for chunk in tts_client.text_to_speech.convert_as_stream(
+            text=response_text,  # type: ignore
+            voice_id="JBFqnCBsd6RMkjVDRZzb",
+            model_id="eleven_multilingual_v2",
+            output_format="pcm_24000",
+        ):
+            audio_array = np.frombuffer(chunk, dtype=np.int16).reshape(1, -1)
+            yield (24000, audio_array)
+        yield AdditionalOutputs(chatbot)
+    except Exception:
+        import traceback
+
+        traceback.print_exc()
+        raise WebRTCError(traceback.format_exc())
+
+
+chatbot = gr.Chatbot(type="messages")
+stream = Stream(
+    modality="audio",
+    mode="send-receive",
+    handler=ReplyOnPause(response, input_sample_rate=16000),
+    additional_outputs_handler=lambda a, b: b,
+    additional_inputs=[chatbot],
+    additional_outputs=[chatbot],
+    rtc_configuration=get_twilio_turn_credentials() if get_space() else None,
+    concurrency_limit=5 if get_space() else None,
+    time_limit=90 if get_space() else None,
+    ui_args={"title": "LLM Voice Chat (Powered by Groq, ElevenLabs, and WebRTC ⚡️)"},
+)
+
+# Mount the STREAM UI to the FastAPI app
+# Because I don't want to build the UI manually
+app = FastAPI()
+app = gr.mount_gradio_app(app, stream.ui, path="/")
+
+
+if __name__ == "__main__":
+    import os
+
+    os.environ["GRADIO_SSR_MODE"] = "false"
+
+    if (mode := os.getenv("MODE")) == "UI":
+        stream.ui.launch(server_port=7860)
+    elif mode == "PHONE":
+        stream.fastphone(host="0.0.0.0", port=7860)
+    else:
+        stream.ui.launch(server_port=7860)