Hotfix for: stt_or_tts demo (#7332)

* fix

* add changeset

* add changeset

* notebooks

---------

Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>

.changeset/petite-years-call.md

@@ -0,0 +1,5 @@
+---
+"gradio": patch
+---
+
+feat:Hotfix for: `stt_or_tts` demo

demo/stt_or_tts/run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: stt_or_tts"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "tts_examples = [\n", "    \"I love learning machine learning\",\n", "    \"How do you do?\",\n", "]\n", "\n", "tts_demo = gr.load(\n", "    \"huggingface/facebook/fastspeech2-en-ljspeech\",\n", "    title=None,\n", "    examples=tts_examples,\n", "    description=\"Give me something to say!\",\n", "    cache_examples=False\n", ")\n", "\n", "stt_demo = gr.load(\n", "    \"huggingface/facebook/wav2vec2-base-960h\",\n", "    title=None,\n", "    inputs=\"mic\",\n", "    description=\"Let me try to guess what you're saying!\",\n", ")\n", "\n", "demo = gr.TabbedInterface([tts_demo, stt_demo], [\"Text-to-speech\", \"Speech-to-text\"])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: stt_or_tts"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "tts_examples = [\n", "    \"I love learning machine learning\",\n", "    \"How do you do?\",\n", "]\n", "\n", "tts_demo = gr.load(\n", "    \"huggingface/facebook/fastspeech2-en-ljspeech\",\n", "    title=None,\n", "    examples=tts_examples,\n", "    description=\"Give me something to say!\",\n", ")\n", "\n", "stt_demo = gr.load(\n", "    \"huggingface/facebook/wav2vec2-base-960h\",\n", "    title=None,\n", "    inputs=gr.Microphone(type=\"filepath\"),\n", "    description=\"Let me try to guess what you're saying!\",\n", ")\n", "\n", "demo = gr.TabbedInterface([tts_demo, stt_demo], [\"Text-to-speech\", \"Speech-to-text\"])\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

demo/stt_or_tts/run.py

@@ -10,13 +10,12 @@
     title=None,
     examples=tts_examples,
     description="Give me something to say!",
-    cache_examples=False
 )
 
 stt_demo = gr.load(
     "huggingface/facebook/wav2vec2-base-960h",
     title=None,
-    inputs="mic",
+    inputs=gr.Microphone(type="filepath"),
     description="Let me try to guess what you're saying!",
 )
 

gradio/external.py

@@ -153,7 +153,7 @@ def custom_post_binary(data):
         fn = custom_post_binary
     # example model: facebook/wav2vec2-base-960h
     elif p == "automatic-speech-recognition":
-        inputs = components.Audio(sources=["upload"], type="filepath", label="Input")
+        inputs = components.Audio(type="filepath", label="Input")
         outputs = components.Textbox(label="Output")
         examples = [
             "https://gradio-builds.s3.amazonaws.com/demo-files/audio_sample.wav"