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{
"cells": [
{
"cell_type": "code",
"execution_count": 29,
"id": "5c7d8fe6-69ca-4f29-9046-0b0bc9f31911",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "99ee6b03c5154644998c23c837444e83",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"HBox(children=(Button(button_style='success', description='Record', icon='microphone', style=ButtonStyle()), B…"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "2b3e4f24da8d4c198b5d15f0f3f7399d",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Output()"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import ipywidgets as widgets\n",
"from IPython.display import display, clear_output\n",
"from threading import Thread\n",
"from queue import Queue\n",
"import time\n",
"\n",
"messages = Queue()\n",
"recordings = Queue()\n",
"\n",
"record_button = widgets.Button(\n",
" description=\"Record\",\n",
" disabled=False,\n",
" button_style=\"success\",\n",
" icon=\"microphone\"\n",
")\n",
"\n",
"stop_button = widgets.Button(\n",
" description=\"Stop\",\n",
" disabled=False,\n",
" button_style=\"warning\",\n",
" icon=\"stop\"\n",
")\n",
"\n",
"output = widgets.Output()\n",
"\n",
"def record_microphone():\n",
" while not messages.empty():\n",
" time.sleep(1) # Simulate recording\n",
" recordings.put(\"Audio recorded.\") # Simulated recorded audio data\n",
"\n",
"def speech_recognition(output_widget):\n",
" while not messages.empty():\n",
" time.sleep(2) # Simulate transcription\n",
" with output_widget:\n",
" clear_output(wait=True)\n",
" display(\"Transcription: Hello, how are you?\") # Simulated transcription result\n",
"\n",
"def start_recording(data):\n",
" if not messages.empty():\n",
" return # Recording already in progress\n",
"\n",
" messages.put(True)\n",
" with output:\n",
" clear_output(wait=True)\n",
" display(\"Starting...\")\n",
"\n",
" record = Thread(target=record_microphone)\n",
" record.start()\n",
"\n",
" transcribe = Thread(target=speech_recognition, args=(output,))\n",
" transcribe.start()\n",
"\n",
"def stop_recording(data):\n",
" if messages.empty():\n",
" return # No recording in progress\n",
"\n",
" messages.get()\n",
" with output:\n",
" clear_output(wait=True)\n",
" display(\"Stopped.\")\n",
"\n",
"record_button.on_click(start_recording)\n",
"stop_button.on_click(stop_recording)\n",
"\n",
"display(widgets.HBox([record_button, stop_button]), output)\n"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "bdcb9097-ab31-4dcc-9e2a-4e0818fceb3f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: pyaudio in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (0.2.14)\n"
]
}
],
"source": [
"!python -m pip install pyaudio"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "34112777-1845-4aff-80de-099ceed52f01",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'index': 0, 'structVersion': 2, 'name': 'Microsoft Sound Mapper - Input', 'hostApi': 0, 'maxInputChannels': 2, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.09, 'defaultLowOutputLatency': 0.09, 'defaultHighInputLatency': 0.18, 'defaultHighOutputLatency': 0.18, 'defaultSampleRate': 44100.0}\n",
"{'index': 1, 'structVersion': 2, 'name': 'Microphone Array (Intel® Smart ', 'hostApi': 0, 'maxInputChannels': 4, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.09, 'defaultLowOutputLatency': 0.09, 'defaultHighInputLatency': 0.18, 'defaultHighOutputLatency': 0.18, 'defaultSampleRate': 44100.0}\n",
"{'index': 2, 'structVersion': 2, 'name': 'Microsoft Sound Mapper - Output', 'hostApi': 0, 'maxInputChannels': 0, 'maxOutputChannels': 2, 'defaultLowInputLatency': 0.09, 'defaultLowOutputLatency': 0.09, 'defaultHighInputLatency': 0.18, 'defaultHighOutputLatency': 0.18, 'defaultSampleRate': 44100.0}\n",
"{'index': 3, 'structVersion': 2, 'name': 'Speakers (Realtek(R) Audio)', 'hostApi': 0, 'maxInputChannels': 0, 'maxOutputChannels': 2, 'defaultLowInputLatency': 0.09, 'defaultLowOutputLatency': 0.09, 'defaultHighInputLatency': 0.18, 'defaultHighOutputLatency': 0.18, 'defaultSampleRate': 44100.0}\n",
"{'index': 4, 'structVersion': 2, 'name': 'Primary Sound Capture Driver', 'hostApi': 1, 'maxInputChannels': 2, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.12, 'defaultLowOutputLatency': 0.0, 'defaultHighInputLatency': 0.24, 'defaultHighOutputLatency': 0.0, 'defaultSampleRate': 44100.0}\n",
"{'index': 5, 'structVersion': 2, 'name': 'Microphone Array (Intel® Smart Sound Technology (Intel® SST))', 'hostApi': 1, 'maxInputChannels': 4, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.12, 'defaultLowOutputLatency': 0.0, 'defaultHighInputLatency': 0.24, 'defaultHighOutputLatency': 0.0, 'defaultSampleRate': 44100.0}\n",
"{'index': 6, 'structVersion': 2, 'name': 'Primary Sound Driver', 'hostApi': 1, 'maxInputChannels': 0, 'maxOutputChannels': 8, 'defaultLowInputLatency': 0.0, 'defaultLowOutputLatency': 0.12, 'defaultHighInputLatency': 0.0, 'defaultHighOutputLatency': 0.24, 'defaultSampleRate': 44100.0}\n",
"{'index': 7, 'structVersion': 2, 'name': 'Speakers (Realtek(R) Audio)', 'hostApi': 1, 'maxInputChannels': 0, 'maxOutputChannels': 2, 'defaultLowInputLatency': 0.0, 'defaultLowOutputLatency': 0.12, 'defaultHighInputLatency': 0.0, 'defaultHighOutputLatency': 0.24, 'defaultSampleRate': 44100.0}\n",
"{'index': 8, 'structVersion': 2, 'name': 'Speakers (Realtek(R) Audio)', 'hostApi': 2, 'maxInputChannels': 0, 'maxOutputChannels': 8, 'defaultLowInputLatency': 0.0, 'defaultLowOutputLatency': 0.003, 'defaultHighInputLatency': 0.0, 'defaultHighOutputLatency': 0.01, 'defaultSampleRate': 48000.0}\n",
"{'index': 9, 'structVersion': 2, 'name': 'Microphone Array (Intel® Smart Sound Technology (Intel® SST))', 'hostApi': 2, 'maxInputChannels': 2, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.002, 'defaultLowOutputLatency': 0.0, 'defaultHighInputLatency': 0.01, 'defaultHighOutputLatency': 0.0, 'defaultSampleRate': 48000.0}\n",
"{'index': 10, 'structVersion': 2, 'name': 'Microphone Array 1 (Intel® Smart Sound Technology (Intel® SST) Microphone)', 'hostApi': 3, 'maxInputChannels': 2, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.01, 'defaultLowOutputLatency': 0.01, 'defaultHighInputLatency': 0.04, 'defaultHighOutputLatency': 0.04, 'defaultSampleRate': 48000.0}\n",
"{'index': 11, 'structVersion': 2, 'name': 'Microphone Array 2 (Intel® Smart Sound Technology (Intel® SST) Microphone)', 'hostApi': 3, 'maxInputChannels': 4, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.01, 'defaultLowOutputLatency': 0.01, 'defaultHighInputLatency': 0.04, 'defaultHighOutputLatency': 0.04, 'defaultSampleRate': 16000.0}\n",
"{'index': 12, 'structVersion': 2, 'name': 'Microphone Array 3 (Intel® Smart Sound Technology (Intel® SST) Microphone)', 'hostApi': 3, 'maxInputChannels': 4, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.01, 'defaultLowOutputLatency': 0.01, 'defaultHighInputLatency': 0.04, 'defaultHighOutputLatency': 0.04, 'defaultSampleRate': 16000.0}\n",
"{'index': 13, 'structVersion': 2, 'name': 'Stereo Mix (Realtek HD Audio Stereo input)', 'hostApi': 3, 'maxInputChannels': 2, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.01, 'defaultLowOutputLatency': 0.01, 'defaultHighInputLatency': 0.04, 'defaultHighOutputLatency': 0.04, 'defaultSampleRate': 48000.0}\n",
"{'index': 14, 'structVersion': 2, 'name': 'Headphones (Realtek HD Audio 2nd output with SST)', 'hostApi': 3, 'maxInputChannels': 0, 'maxOutputChannels': 2, 'defaultLowInputLatency': 0.01, 'defaultLowOutputLatency': 0.01, 'defaultHighInputLatency': 0.04, 'defaultHighOutputLatency': 0.04, 'defaultSampleRate': 48000.0}\n",
"{'index': 15, 'structVersion': 2, 'name': 'Speakers (Realtek HD Audio output with SST)', 'hostApi': 3, 'maxInputChannels': 0, 'maxOutputChannels': 2, 'defaultLowInputLatency': 0.01, 'defaultLowOutputLatency': 0.01, 'defaultHighInputLatency': 0.04, 'defaultHighOutputLatency': 0.04, 'defaultSampleRate': 48000.0}\n",
"{'index': 16, 'structVersion': 2, 'name': 'Microphone (Realtek HD Audio Mic input)', 'hostApi': 3, 'maxInputChannels': 2, 'maxOutputChannels': 0, 'defaultLowInputLatency': 0.01, 'defaultLowOutputLatency': 0.01, 'defaultHighInputLatency': 0.04, 'defaultHighOutputLatency': 0.04, 'defaultSampleRate': 44100.0}\n"
]
}
],
"source": [
"import pyaudio\n",
"\n",
"p = pyaudio.PyAudio()\n",
"for i in range(p.get_device_count()):\n",
" print(p.get_device_info_by_index(i))\n",
"\n",
"p.terminate()"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "2e74dacf-1a91-4dfa-bf91-c64c72755d75",
"metadata": {},
"outputs": [],
"source": [
"import pyaudio\n",
"from queue import Queue\n",
"\n",
"CHANNELS = 1\n",
"FRAME_RATE = 16000\n",
"RECORD_SECONDS = 20\n",
"AUDIO_FORMAT = pyaudio.paInt16\n",
"SAMPLE_SIZE = 2\n",
"\n",
"messages = Queue()\n",
"recordings = Queue()\n",
"\n",
"def record_microphone(chunk=1024):\n",
" p = pyaudio.PyAudio()\n",
"\n",
" stream = p.open(format=AUDIO_FORMAT,\n",
" channels=CHANNELS,\n",
" rate=FRAME_RATE,\n",
" input=True,\n",
" input_device_index=1,\n",
" frames_per_buffer=chunk)\n",
"\n",
" frames = []\n",
"\n",
" while not messages.empty():\n",
" data = stream.read(chunk)\n",
" frames.append(data)\n",
"\n",
" if len(frames) >= int(FRAME_RATE * RECORD_SECONDS / chunk):\n",
" recordings.put(frames.copy())\n",
" frames = []\n",
"\n",
" stream.stop_stream()\n",
" stream.close()\n",
" p.terminate()\n"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "931dc754-e034-45e7-981b-a9210c1fe6e9",
"metadata": {},
"outputs": [],
"source": [
"import subprocess\n",
"import json\n",
"from vosk import Model, KaldiRecognizer\n",
"\n",
"model = Model(model_name=\"vosk-model-en-us-0.42-gigaspeech\")\n",
"rec = KaldiRecognizer(model, FRAME_RATE)\n",
"rec.SetWords(True)\n",
"\n",
"def speech_recognition(output):\n",
" while not messages.empty():\n",
" frames = recordings.get()\n",
"\n",
" rec.AcceptWaveform(b''.join(frames))\n",
" result = rec.Result()\n",
" text = json.loads(result)[\"text\"]\n",
"\n",
" cased = subprocess.check_output(\"python recasepunc/recasepunc.py predict recasepunc/checkpoint\", shell=True, text=True, input=text)\n",
" output.append_stdout(cased)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "a27fb138-d3a9-4e04-83fe-23aca2921d92",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: gradio in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (4.36.1)\n",
"Requirement already satisfied: aiofiles<24.0,>=22.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (23.2.1)\n",
"Requirement already satisfied: altair<6.0,>=4.2.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (5.3.0)\n",
"Requirement already satisfied: fastapi in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (0.111.0)\n",
"Requirement already satisfied: ffmpy in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (0.3.2)\n",
"Requirement already satisfied: gradio-client==1.0.1 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (1.0.1)\n",
"Requirement already satisfied: httpx>=0.24.1 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (0.27.0)\n",
"Requirement already satisfied: huggingface-hub>=0.19.3 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (0.23.4)\n",
"Requirement already satisfied: importlib-resources<7.0,>=1.3 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (6.4.0)\n",
"Requirement already satisfied: jinja2<4.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (3.1.4)\n",
"Requirement already satisfied: markupsafe~=2.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (2.1.5)\n",
"Requirement already satisfied: matplotlib~=3.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (3.9.0)\n",
"Requirement already satisfied: numpy<3.0,>=1.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (1.26.4)\n",
"Requirement already satisfied: orjson~=3.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (3.10.5)\n",
"Requirement already satisfied: packaging in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (24.1)\n",
"Requirement already satisfied: pandas<3.0,>=1.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (2.2.2)\n",
"Requirement already satisfied: pillow<11.0,>=8.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (10.3.0)\n",
"Requirement already satisfied: pydantic>=2.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from gradio) (2.7.4)\n",
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"Requirement already satisfied: jsonschema>=3.0 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from altair<6.0,>=4.2.0->gradio) (4.22.0)\n",
"Requirement already satisfied: toolz in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from altair<6.0,>=4.2.0->gradio) (0.12.1)\n",
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"Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib~=3.0->gradio) (1.2.1)\n",
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"Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib~=3.0->gradio) (1.4.5)\n",
"Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\samarth srivastava\\appdata\\local\\programs\\python\\python312\\lib\\site-packages (from matplotlib~=3.0->gradio) (3.1.2)\n",
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"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install gradio\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "6d7852a7-88e5-4e39-afae-da0bad2f72e5",
"metadata": {},
"outputs": [],
"source": [
"def my_function(input1, input2):\n",
" # Process the inputs and generate the output\n",
" output = f\"Processed {input1} and {input2}\"\n",
" return output\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "c57fb014-6562-4909-b3d2-52a048c9af18",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Running on local URL: http://127.0.0.1:7861\n",
"Running on public URL: https://4e26f42d95143ec249.gradio.live\n",
"\n",
"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
]
},
{
"data": {
"text/html": [
"<div><iframe src=\"https://4e26f42d95143ec249.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/plain": []
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import gradio as gr\n",
"\n",
"# Define the function you want to expose through Gradio\n",
"def my_function(input1, input2):\n",
" output = f\"Processed {input1} and {input2}\"\n",
" return output\n",
"\n",
"# Create the Gradio interface\n",
"iface = gr.Interface(\n",
" fn=my_function,\n",
" inputs=[gr.Textbox(label=\"Input 1\"), gr.Textbox(label=\"Input 2\")],\n",
" outputs=gr.Textbox(label=\"Output\")\n",
")\n",
"\n",
"# Launch the interface with a public link\n",
"iface.launch(share=True)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "bc4e1d90-6688-4205-a0d2-7933fcdc5874",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
|