[feat] update some feature

sync code of  fastrtc,
add text support through datachannel,
fix safari connect problem
support chat without camera or mic

demo/talk_to_smolagents/app.py

@@ -0,0 +1,99 @@
+from pathlib import Path
+from typing import Dict, List
+
+from dotenv import load_dotenv
+from fastrtc import (
+    ReplyOnPause,
+    Stream,
+    get_stt_model,
+    get_tts_model,
+    get_twilio_turn_credentials,
+)
+from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
+
+# Load environment variables
+load_dotenv()
+
+# Initialize file paths
+curr_dir = Path(__file__).parent
+
+# Initialize models
+stt_model = get_stt_model()
+tts_model = get_tts_model()
+
+# Conversation state to maintain history
+conversation_state: List[Dict[str, str]] = []
+
+# System prompt for agent
+system_prompt = """You are a helpful assistant that can helps with finding places to 
+workremotely from. You should specifically check against reviews and ratings of the 
+place. You should use this criteria to find the best place to work from:
+- Price
+- Reviews
+- Ratings
+- Location
+- WIFI
+Only return the name, address of the place, and a short description of the place.
+Always search for real places.
+Only return real places, not fake ones.
+If you receive anything other than a location, you should ask for a location.
+<example>
+User: I am in Paris, France. Can you find me a place to work from?
+Assistant: I found a place called "Le Café de la Paix" at 123 Rue de la Paix, 
+Paris, France. It has good reviews and is in a great location.
+</example>
+<example>
+User: I am in London, UK. Can you find me a place to work from?
+Assistant: I found a place called "The London Coffee Company".
+</example>
+<example>
+User: How many people are in the room?
+Assistant: I only respond to requests about finding places to work from.
+</example>
+
+"""
+
+model = HfApiModel(provider="together", model="Qwen/Qwen2.5-Coder-32B-Instruct")
+
+agent = CodeAgent(
+    tools=[
+        DuckDuckGoSearchTool(),
+    ],
+    model=model,
+    max_steps=10,
+    verbosity_level=2,
+    description="Search the web for cafes to work from.",
+)
+
+
+def process_response(audio):
+    """Process audio input and generate LLM response with TTS"""
+    # Convert speech to text using STT model
+    text = stt_model.stt(audio)
+    if not text.strip():
+        return
+
+    input_text = f"{system_prompt}\n\n{text}"
+    # Get response from agent
+    response_content = agent.run(input_text)
+
+    # Convert response to audio using TTS model
+    for audio_chunk in tts_model.stream_tts_sync(response_content or ""):
+        # Yield the audio chunk
+        yield audio_chunk
+
+
+stream = Stream(
+    handler=ReplyOnPause(process_response, input_sample_rate=16000),
+    modality="audio",
+    mode="send-receive",
+    ui_args={
+        "pulse_color": "rgb(255, 255, 255)",
+        "icon_button_color": "rgb(255, 255, 255)",
+        "title": "🧑‍💻The Coworking Agent",
+    },
+    rtc_configuration=get_twilio_turn_credentials(),
+)
+
+if __name__ == "__main__":
+    stream.ui.launch(server_port=7860)