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app.py
CHANGED
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@@ -7,6 +7,7 @@ import gradio as gr
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import numpy as np
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from dotenv import load_dotenv
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from elevenlabs import ElevenLabs
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from fastapi.responses import HTMLResponse, StreamingResponse
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from fastrtc import (
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AdditionalOutputs,
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@@ -15,7 +16,7 @@ from fastrtc import (
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get_tts_model,
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get_twilio_turn_credentials,
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)
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-
from fastrtc.utils import
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from gradio.utils import get_space
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from groq import Groq
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from pydantic import BaseModel
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@@ -44,6 +45,7 @@ def response(
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).text
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print("prompt", prompt)
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chatbot.append({"role": "user", "content": prompt})
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messages.append({"role": "user", "content": prompt})
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response = claude_client.messages.create(
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model="claude-3-5-haiku-20241022",
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@@ -56,7 +58,6 @@ def response(
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if getattr(block, "type", None) == "text"
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)
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chatbot.append({"role": "assistant", "content": response_text})
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yield AdditionalOutputs(chatbot)
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import time
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start = time.time()
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@@ -66,6 +67,7 @@ def response(
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print("chunk", i, time.time() - start)
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yield chunk
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print("finished tts", time.time() - start)
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chatbot = gr.Chatbot(type="messages")
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@@ -91,7 +93,11 @@ class InputData(BaseModel):
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chatbot: list[Message]
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-
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async def _():
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rtc_config = get_twilio_turn_credentials() if get_space() else None
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html_content = (curr_dir / "index.html").read_text()
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@@ -99,19 +105,20 @@ async def _():
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return HTMLResponse(content=html_content, status_code=200)
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@
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async def _(body: InputData):
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stream.set_input(body.webrtc_id, body.model_dump()["chatbot"])
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return {"status": "ok"}
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@
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def _(webrtc_id: str):
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async def output_stream():
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async for output in stream.output_stream(webrtc_id):
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chatbot = output.args[0]
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-
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-
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return StreamingResponse(output_stream(), media_type="text/event-stream")
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@@ -119,9 +126,11 @@ def _(webrtc_id: str):
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if __name__ == "__main__":
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import os
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if
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import uvicorn
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-
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else:
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stream.fastphone(host="0.0.0.0", port=7860)
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import numpy as np
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from dotenv import load_dotenv
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from elevenlabs import ElevenLabs
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from fastapi import FastAPI
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from fastapi.responses import HTMLResponse, StreamingResponse
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from fastrtc import (
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AdditionalOutputs,
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get_tts_model,
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get_twilio_turn_credentials,
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)
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+
from fastrtc.utils import audio_to_bytes
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from gradio.utils import get_space
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from groq import Groq
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from pydantic import BaseModel
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).text
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print("prompt", prompt)
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chatbot.append({"role": "user", "content": prompt})
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yield AdditionalOutputs(chatbot)
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messages.append({"role": "user", "content": prompt})
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response = claude_client.messages.create(
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model="claude-3-5-haiku-20241022",
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if getattr(block, "type", None) == "text"
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)
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chatbot.append({"role": "assistant", "content": response_text})
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import time
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start = time.time()
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print("chunk", i, time.time() - start)
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yield chunk
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print("finished tts", time.time() - start)
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yield AdditionalOutputs(chatbot)
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chatbot = gr.Chatbot(type="messages")
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chatbot: list[Message]
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app = FastAPI()
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stream.mount(app)
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@app.get("/")
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async def _():
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rtc_config = get_twilio_turn_credentials() if get_space() else None
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html_content = (curr_dir / "index.html").read_text()
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return HTMLResponse(content=html_content, status_code=200)
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@app.post("/input_hook")
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async def _(body: InputData):
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stream.set_input(body.webrtc_id, body.model_dump()["chatbot"])
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return {"status": "ok"}
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@app.get("/outputs")
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def _(webrtc_id: str):
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async def output_stream():
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async for output in stream.output_stream(webrtc_id):
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chatbot = output.args[0]
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if len(chatbot) > 1:
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yield f"event: output\ndata: {json.dumps(chatbot[-2])}\n\n"
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yield f"event: output\ndata: {json.dumps(chatbot[-1])}\n\n"
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return StreamingResponse(output_stream(), media_type="text/event-stream")
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if __name__ == "__main__":
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import os
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if (mode := os.getenv("MODE")) == "UI":
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stream.ui.launch(server_port=7860)
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elif mode == "PHONE":
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stream.fastphone(host="0.0.0.0", port=7860)
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else:
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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