two version of R2R are here HEAD master

1 files changed, 100 insertions, 0 deletions

diff --git a/.venv/lib/python3.12/site-packages/openai/helpers/microphone.py b/.venv/lib/python3.12/site-packages/openai/helpers/microphone.py
new file mode 100644
index 00000000..62a6d8d8
--- /dev/null
+++ b/.venv/lib/python3.12/site-packages/openai/helpers/microphone.py
@@ -0,0 +1,100 @@
+# mypy: ignore-errors
+from __future__ import annotations
+
+import io
+import time
+import wave
+import asyncio
+from typing import Any, Type, Union, Generic, TypeVar, Callable, overload
+from typing_extensions import TYPE_CHECKING, Literal
+
+from .._types import FileTypes, FileContent
+from .._extras import numpy as np, sounddevice as sd
+
+if TYPE_CHECKING:
+    import numpy.typing as npt
+
+SAMPLE_RATE = 24000
+
+DType = TypeVar("DType", bound=np.generic)
+
+
+class Microphone(Generic[DType]):
+    def __init__(
+        self,
+        channels: int = 1,
+        dtype: Type[DType] = np.int16,
+        should_record: Union[Callable[[], bool], None] = None,
+        timeout: Union[float, None] = None,
+    ):
+        self.channels = channels
+        self.dtype = dtype
+        self.should_record = should_record
+        self.buffer_chunks = []
+        self.timeout = timeout
+        self.has_record_function = callable(should_record)
+
+    def _ndarray_to_wav(self, audio_data: npt.NDArray[DType]) -> FileTypes:
+        buffer: FileContent = io.BytesIO()
+        with wave.open(buffer, "w") as wav_file:
+            wav_file.setnchannels(self.channels)
+            wav_file.setsampwidth(np.dtype(self.dtype).itemsize)
+            wav_file.setframerate(SAMPLE_RATE)
+            wav_file.writeframes(audio_data.tobytes())
+        buffer.seek(0)
+        return ("audio.wav", buffer, "audio/wav")
+
+    @overload
+    async def record(self, return_ndarray: Literal[True]) -> npt.NDArray[DType]: ...
+
+    @overload
+    async def record(self, return_ndarray: Literal[False]) -> FileTypes: ...
+
+    @overload
+    async def record(self, return_ndarray: None = ...) -> FileTypes: ...
+
+    async def record(self, return_ndarray: Union[bool, None] = False) -> Union[npt.NDArray[DType], FileTypes]:
+        loop = asyncio.get_event_loop()
+        event = asyncio.Event()
+        self.buffer_chunks: list[npt.NDArray[DType]] = []
+        start_time = time.perf_counter()
+
+        def callback(
+            indata: npt.NDArray[DType],
+            _frame_count: int,
+            _time_info: Any,
+            _status: Any,
+        ):
+            execution_time = time.perf_counter() - start_time
+            reached_recording_timeout = execution_time > self.timeout if self.timeout is not None else False
+            if reached_recording_timeout:
+                loop.call_soon_threadsafe(event.set)
+                raise sd.CallbackStop
+
+            should_be_recording = self.should_record() if callable(self.should_record) else True
+            if not should_be_recording:
+                loop.call_soon_threadsafe(event.set)
+                raise sd.CallbackStop
+
+            self.buffer_chunks.append(indata.copy())
+
+        stream = sd.InputStream(
+            callback=callback,
+            dtype=self.dtype,
+            samplerate=SAMPLE_RATE,
+            channels=self.channels,
+        )
+        with stream:
+            await event.wait()
+
+        # Concatenate all chunks into a single buffer, handle empty case
+        concatenated_chunks: npt.NDArray[DType] = (
+            np.concatenate(self.buffer_chunks, axis=0)
+            if len(self.buffer_chunks) > 0
+            else np.array([], dtype=self.dtype)
+        )
+
+        if return_ndarray:
+            return concatenated_chunks
+        else:
+            return self._ndarray_to_wav(concatenated_chunks)