Commit 3: Add 35 file(s)

demos/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", ")\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}
+{"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=gr.Microphone(type=\"filepath\"),\n", "    description=\"Let me try to guess what you're saying!\",\n", "    cache_examples=False\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}

demos/stt_or_tts/run.py

@@ -10,6 +10,7 @@ tts_demo = gr.load(
     title=None,
     examples=tts_examples,
     description="Give me something to say!",
+    cache_examples=False
 )
 
 stt_demo = gr.load(
@@ -17,6 +18,7 @@ stt_demo = gr.load(
     title=None,
     inputs=gr.Microphone(type="filepath"),
     description="Let me try to guess what you're saying!",
+    cache_examples=False
 )
 
 demo = gr.TabbedInterface([tts_demo, stt_demo], ["Text-to-speech", "Speech-to-text"])

requirements.txt

@@ -1,5 +1,5 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@0b2e39b101be0e32aaf2cea7ebbc40402d297530#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/0b2e39b101be0e32aaf2cea7ebbc40402d297530/gradio-5.16.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@92fa6c1f3d0424faabebe4f5e15c017b72818dca#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/92fa6c1f3d0424faabebe4f5e15c017b72818dca/gradio-5.18.0-py3-none-any.whl
 pypistats==1.1.0
 plotly
 matplotlib