Raise errors automatically (#69)

* Add auto errors

* change code

---------

Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local>

docs/index.md

@@ -63,56 +63,29 @@ The `Stream` has three main methods:
 === "LLM Voice Chat"
 
     ```py
-    from fastrtc import (
-        ReplyOnPause, AdditionalOutputs, Stream,
-        audio_to_bytes, aggregate_bytes_to_16bit
+    import os
+
+    from fastrtc import (ReplyOnPause, Stream, get_stt_model, get_tts_model)
+    from openai import OpenAI
+
+    sambanova_client = OpenAI(
+        api_key=os.getenv("SAMBANOVA_API_KEY"), base_url="https://api.sambanova.ai/v1"
     )
-    import gradio as gr
-    from groq import Groq
-    import anthropic
-    from elevenlabs import ElevenLabs
+    stt_model = get_stt_model()
+    tts_model = get_tts_model()
 
-    groq_client = Groq()
-    claude_client = anthropic.Anthropic()
-    tts_client = ElevenLabs()
-
-    
-    # See "Talk to Claude" in Cookbook for an example of how to keep 
-    # track of the chat history.
-    def response(
-        audio: tuple[int, np.ndarray],
-    ):
-        prompt = groq_client.audio.transcriptions.create(
-            file=("audio-file.mp3", audio_to_bytes(audio)),
-            model="whisper-large-v3-turbo",
-            response_format="verbose_json",
-        ).text
-        response = claude_client.messages.create(
-            model="claude-3-5-haiku-20241022",
-            max_tokens=512,
+    def echo(audio):
+        prompt = stt_model.stt(audio)
+        response = sambanova_client.chat.completions.create(
+            model="Meta-Llama-3.2-3B-Instruct",
             messages=[{"role": "user", "content": prompt}],
+            max_tokens=200,
         )
-        response_text = " ".join(
-            block.text
-            for block in response.content
-            if getattr(block, "type", None) == "text"
-        )
-        iterator = tts_client.text_to_speech.convert_as_stream(
-            text=response_text,
-            voice_id="JBFqnCBsd6RMkjVDRZzb",
-            model_id="eleven_multilingual_v2",
-            output_format="pcm_24000"
-            
-        )
-        for chunk in aggregate_bytes_to_16bit(iterator):
-            audio_array = np.frombuffer(chunk, dtype=np.int16).reshape(1, -1)
-            yield (24000, audio_array)
+        prompt = response.choices[0].message.content
+        for audio_chunk in tts_model.stream_tts_sync(prompt):
+            yield audio_chunk
 
-    stream = Stream(
-        modality="audio",
-        mode="send-receive",
-        handler=ReplyOnPause(response),
-    )
+    stream = Stream(ReplyOnPause(echo), modality="audio", mode="send-receive")
     ```
 
 === "Webcam Stream"