fix: incorrectly changed the base type in my last pull request for L… (#1184)

* fix: incorrectly changed the base type in my last pull request for  LocalAudioTransport

* update examples to use the new LocalTransportParams

* add local device select example

examples/local-input-select-stt/README.md

@@ -0,0 +1,88 @@
+
+# Pipecat Audio Transcription Example 🚀🎙️
+
+Welcome to the **Pipecat Audio Transcription Example**! 
+
+This project showcases how to integrate the awesome [pipecat](https://github.com/pipecat-ai/pipecat) library with a neat textual interface (powered by [Textual](https://github.com/Textualize/textual)) to select audio devices, perform real-time speech-to-text (STT) transcription using [Whisper](https://github.com/openai/whisper).
+
+> **Note:** Although the script allows you to select both input and output audio devices, this example only utilizes the audio **input** for transcription.
+
+---
+
+## 🎉 Features
+
+- **Interactive Audio Device Selection:**  
+  Choose your preferred audio input device using a cool, textual UI.
+  
+- **State-of-the-Art Transcription:**  
+  Leverage Whisper's large model (running on CUDA) for high-quality, real-time STT.
+  
+- **Live Transcription Logging:**  
+  Watch your spoken words transform into text on your console instantly.
+  
+- **Easy Setup:**  
+  Everything you need is in the [`requirements.txt`](./requirements.txt).
+
+---
+
+## 🎥 Demo
+
+Get a quick glimpse of the app in action!  
+*(Don't worry – I'll be adding a GIF demo here soon!)*
+
+![Demo GIF](demo.gif)
+
+---
+
+## 🔧 Installation
+
+
+Install Dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+
+---
+
+## 🚀 Usage
+
+Run the main script:
+
+```bash
+python bot.py
+```
+
+When the app launches, you'll see a textual interface that lets you select your audio input device. Once selected, the app will begin capturing audio, transcribing it using Whisper.
+
+---
+
+## ⚙️ How It Works
+
+
+1. **LocalAudioTransport:**  
+   Captures audio from your chosen input device.
+   
+2. **WhisperSTTService:**  
+   Processes the audio stream using Whisper's large model for speech-to-text conversion.
+   
+3. **TranscriptionLogger:**  
+   Logs the transcribed text to the console as soon as it's processed.
+
+
+---
+
+## 📦 Dependencies
+
+The project relies on:
+
+- [pipecat](https://github.com/yourusername/pipecat) – For building the audio processing pipeline.
+- [Textual](https://github.com/Textualize/textual) – For the interactive terminal UI.
+- [Whisper](https://github.com/openai/whisper) – For state-of-the-art STT transcription.
+
+---
+
+## Example improvements:
+
+I plan to improve this example with local LLM calls and audio output.