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crimeacs commited on
Commit
f32279c
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1 Parent(s): 1ed8d1b

Updated layout

Browse files
Files changed (2) hide show
  1. Gradio_app.ipynb +18 -720
  2. app.py +14 -14
Gradio_app.ipynb CHANGED
@@ -2,14 +2,14 @@
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  "cells": [
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  {
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  "cell_type": "code",
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- "execution_count": null,
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  "metadata": {},
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  "outputs": [
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  {
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  "name": "stdout",
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  "output_type": "stream",
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  "text": [
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- "Running on local URL: http://127.0.0.1:7860\n",
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  "\n",
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  "To create a public link, set `share=True` in `launch()`.\n"
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  ]
@@ -17,7 +17,7 @@
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  {
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  "data": {
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  "text/html": [
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- "<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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  ],
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  "text/plain": [
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  "<IPython.core.display.HTML object>"
@@ -30,711 +30,9 @@
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  "data": {
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  "text/plain": []
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  },
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- "execution_count": 1,
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  "metadata": {},
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  "output_type": "execute_result"
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- },
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Starting to download inventory\n",
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- "Finished downloading inventory\n",
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- "Processing CI.CCC...\n",
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- "Downloading waveform for CI_CCC_2019-07-04T17:33:40.494920Z\n",
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- "Skipping CI_CCC_2019-07-04T17:33:40.494920Z\n",
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- "Processing CI.CLC...\n",
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- "Processing CI.JRC2...\n",
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- "Reading cached waveform\n"
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- ]
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- },
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- {
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- "name": "stderr",
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- "output_type": "stream",
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- "text": [
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- "/Users/anovosel/Documents/phase-hunter/phasehunter/data_preparation.py:210: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at /Users/runner/work/pytorch/pytorch/pytorch/torch/csrc/utils/tensor_new.cpp:248.)\n",
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- " return torch.tensor([waveform]*128, dtype=torch.float)\n"
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- ]
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- },
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Added CI.JRC2 to the list of waveforms\n",
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- "Processing CI.LRL...\n",
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- "Reading cached waveform\n",
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- "Added CI.LRL to the list of waveforms\n",
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- "Added CI.SLA to the list of waveforms\n",
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- "Added CI.SRT to the list of waveforms\n",
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- "Added CI.TOW2 to the list of waveforms\n",
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- "Reading cached waveform\n",
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- "Starting to run predictions\n"
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- ]
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- },
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- {
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- "name": "stderr",
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- "output_type": "stream",
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- "text": [
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- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:301: FutureWarning: The input object of type 'Tensor' is an array-like implementing one of the corresponding protocols (`__array__`, `__array_interface__` or `__array_struct__`); but not a sequence (or 0-D). In the future, this object will be coerced as if it was first converted using `np.array(obj)`. To retain the old behaviour, you have to either modify the type 'Tensor', or assign to an empty array created with `np.empty(correct_shape, dtype=object)`.\n",
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- " waveforms = np.array(waveforms)[selection_indexes]\n",
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- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:301: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
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- " waveforms = np.array(waveforms)[selection_indexes]\n",
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- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:308: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
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- " waveforms = [torch.tensor(waveform) for waveform in waveforms]\n"
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- ]
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- },
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Starting plotting 3 waveforms\n",
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- "Fetching topography\n",
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- "Plotting topo\n"
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- ]
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- },
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- {
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- "name": "stderr",
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- "output_type": "stream",
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- "text": [
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- "/Users/anovosel/miniconda3/envs/phasehunter/lib/python3.11/site-packages/bmi_topography/api_key.py:49: UserWarning: You are using a demo key to fetch data from OpenTopography, functionality will be limited. See https://bmi-topography.readthedocs.io/en/latest/#api-key for more information.\n",
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- " warnings.warn(\n"
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- ]
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- },
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Plotting waveform 1/3\n",
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- "Station 36.11758, -117.85486 has P velocity 4.746091546067712 and S velocity 2.649725414106055\n",
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- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n"
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- ]
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- },
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- {
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- "name": "stdout",
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- "output_type": "stream",
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- "text": [
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- "Station 35.69235, -117.75051 has P velocity 3.4155476453388767 and S velocity 1.67967367867923\n",
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- "Plotting waveform 3/3\n",
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- "Station 35.98249, -117.80885 has P velocity 4.135967410510336 and S velocity 2.2605591132307814\n",
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- ]
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- },
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- {
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- "text": [
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- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
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- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
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- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:413: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
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- " ax[i].set_xticklabels(ax[i].get_xticks(), rotation = 50)\n"
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- ]
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- {
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- "output_type": "stream",
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- "text": [
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- "Starting to download inventory\n",
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- "Finished downloading inventory\n",
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- "Processing CI.ADO...\n",
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- "Reading cached waveform\n",
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- "Added CI.ADO to the list of waveforms\n",
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- "Downloading waveform for CI_TEJ_2019-07-04T17:33:50.888789Z\n",
378
- "Skipping CI_TEJ_2019-07-04T17:33:50.888789Z\n",
379
- "Processing CI.THC...\n",
380
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381
- "Skipping CI_THC_2019-07-04T17:33:53.562586Z\n",
382
- "Processing CI.TIN...\n",
383
- "Reading cached waveform\n",
384
- "Added CI.TIN to the list of waveforms\n",
385
- "Processing CI.TJR...\n",
386
- "Downloading waveform for CI_TJR_2019-07-04T17:33:53.114791Z\n",
387
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388
- "Processing CI.TOW2...\n",
389
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390
- "Added CI.TOW2 to the list of waveforms\n",
391
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392
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393
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394
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395
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396
- "Skipping CI_VCS_2019-07-04T17:33:55.459774Z\n",
397
- "Processing CI.VTV...\n",
398
- "Reading cached waveform\n",
399
- "Added CI.VTV to the list of waveforms\n",
400
- "Processing CI.WAS2...\n",
401
- "Downloading waveform for CI_WAS2_2019-07-04T17:33:47.167220Z\n",
402
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403
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404
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405
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406
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407
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408
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409
- "Processing CI.WCS2...\n",
410
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411
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412
- "Processing CI.WHF...\n",
413
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414
- "Skipping CI_WHF_2019-07-04T17:33:44.817776Z\n",
415
- "Processing CI.WLH2...\n",
416
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417
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418
- "Processing CI.WLS...\n",
419
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420
- "Skipping CI_WLS_2019-07-04T17:33:53.177944Z\n",
421
- "Processing CI.WLS2...\n",
422
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423
- "Skipping CI_WLS2_2019-07-04T17:33:53.177444Z\n",
424
- "Processing CI.WMF...\n",
425
- "Reading cached waveform\n",
426
- "Added CI.WMF to the list of waveforms\n",
427
- "Processing CI.WNM...\n",
428
- "Reading cached waveform\n",
429
- "Processing CI.WOR...\n",
430
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431
- "Skipping CI_WOR_2019-07-04T17:33:43.547818Z\n",
432
- "Processing CI.WRC2...\n",
433
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434
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435
- "Processing CI.WRV2...\n",
436
- "Reading cached waveform\n",
437
- "Processing CI.WVP2...\n",
438
- "Downloading waveform for CI_WVP2_2019-07-04T17:33:39.650402Z\n",
439
- "Skipping CI_WVP2_2019-07-04T17:33:39.650402Z\n",
440
- "Processing LB.DAC...\n",
441
- "Reading cached waveform\n",
442
- "Added LB.DAC to the list of waveforms\n",
443
- "Processing NN.FMT...\n",
444
- "Reading cached waveform\n",
445
- "Processing NN.GVN...\n",
446
- "Reading cached waveform\n",
447
- "Processing NN.GWY...\n",
448
- "Reading cached waveform\n",
449
- "Added NN.GWY to the list of waveforms\n",
450
- "Processing NN.MCA...\n",
451
- "Reading cached waveform\n",
452
- "Processing NN.PAN...\n",
453
- "Downloading waveform for NN_PAN_2019-07-04T17:33:46.806604Z\n",
454
- "Skipping NN_PAN_2019-07-04T17:33:46.806604Z\n",
455
- "Processing NN.QSM...\n",
456
- "Reading cached waveform\n",
457
- "Added NN.QSM to the list of waveforms\n",
458
- "Processing NN.STHB...\n",
459
- "Reading cached waveform\n",
460
- "Added NN.STHB to the list of waveforms\n",
461
- "Processing NN.WCT...\n",
462
- "Reading cached waveform\n",
463
- "Processing NN.WLDB...\n",
464
- "Reading cached waveform\n",
465
- "Added NN.WLDB to the list of waveforms\n",
466
- "Processing NP.1035...\n",
467
- "Downloading waveform for NP_1035_2019-07-04T17:33:46.374472Z\n",
468
- "Skipping NP_1035_2019-07-04T17:33:46.374472Z\n",
469
- "Processing NP.1484...\n",
470
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471
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472
- "Processing NP.1808...\n",
473
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474
- "Skipping NP_1808_2019-07-04T17:33:52.487446Z\n",
475
- "Processing NP.1809...\n",
476
- "Reading cached waveform\n",
477
- "Processing NP.262...\n",
478
- "Downloading waveform for NP_262_2019-07-04T17:33:54.156962Z\n",
479
- "Skipping NP_262_2019-07-04T17:33:54.156962Z\n",
480
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481
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482
- "Skipping NP_5029_2019-07-04T17:33:54.407584Z\n",
483
- "Processing NP.5031...\n",
484
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485
- "Skipping NP_5031_2019-07-04T17:33:55.297413Z\n",
486
- "Processing NP.5419...\n",
487
- "Reading cached waveform\n",
488
- "Processing NP.5420...\n",
489
- "Downloading waveform for NP_5420_2019-07-04T17:33:56.859872Z\n",
490
- "Skipping NP_5420_2019-07-04T17:33:56.859872Z\n",
491
- "Processing NP.5480...\n",
492
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493
- "Skipping NP_5480_2019-07-04T17:33:54.127751Z\n",
494
- "Processing NP.5481...\n",
495
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496
- "Skipping NP_5481_2019-07-04T17:33:55.578047Z\n",
497
- "Processing PB.B916...\n",
498
- "Reading cached waveform\n",
499
- "Processing PB.B917...\n",
500
- "Reading cached waveform\n",
501
- "Processing PB.B918...\n",
502
- "Reading cached waveform\n",
503
- "Processing PB.B921...\n",
504
- "Reading cached waveform\n",
505
- "Processing SN.AMD...\n",
506
- "Reading cached waveform\n",
507
- "Processing SN.BTW...\n",
508
- "Reading cached waveform\n",
509
- "Processing SN.DOM...\n",
510
- "Reading cached waveform\n",
511
- "Processing SN.HEL...\n",
512
- "Reading cached waveform\n",
513
- "Added SN.HEL to the list of waveforms\n",
514
- "Processing SN.LEC...\n",
515
- "Reading cached waveform\n",
516
- "Processing SN.SGR...\n",
517
- "Reading cached waveform\n",
518
- "Processing SN.SW353...\n",
519
- "Reading cached waveform\n",
520
- "Processing SN.SW435...\n",
521
- "Reading cached waveform\n",
522
- "Processing SN.SW511...\n",
523
- "Reading cached waveform\n",
524
- "Processing SN.TIM...\n",
525
- "Reading cached waveform\n",
526
- "Processing SN.WESTB...\n",
527
- "Reading cached waveform\n",
528
- "Processing SN.WESTC...\n",
529
- "Reading cached waveform\n",
530
- "Processing SN.WESTD...\n",
531
- "Reading cached waveform\n"
532
- ]
533
- },
534
- {
535
- "name": "stderr",
536
- "output_type": "stream",
537
- "text": [
538
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:301: FutureWarning: The input object of type 'Tensor' is an array-like implementing one of the corresponding protocols (`__array__`, `__array_interface__` or `__array_struct__`); but not a sequence (or 0-D). In the future, this object will be coerced as if it was first converted using `np.array(obj)`. To retain the old behaviour, you have to either modify the type 'Tensor', or assign to an empty array created with `np.empty(correct_shape, dtype=object)`.\n",
539
- " waveforms = np.array(waveforms)[selection_indexes]\n",
540
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:301: VisibleDeprecationWarning: Creating an ndarray from ragged nested sequences (which is a list-or-tuple of lists-or-tuples-or ndarrays with different lengths or shapes) is deprecated. If you meant to do this, you must specify 'dtype=object' when creating the ndarray.\n",
541
- " waveforms = np.array(waveforms)[selection_indexes]\n",
542
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:308: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
543
- " waveforms = [torch.tensor(waveform) for waveform in waveforms]\n"
544
- ]
545
- },
546
- {
547
- "name": "stdout",
548
- "output_type": "stream",
549
- "text": [
550
- "Starting to run predictions\n",
551
- "Starting plotting 15 waveforms\n",
552
- "Fetching topography\n"
553
- ]
554
- },
555
- {
556
- "name": "stderr",
557
- "output_type": "stream",
558
- "text": [
559
- "/Users/anovosel/miniconda3/envs/phasehunter/lib/python3.11/site-packages/bmi_topography/api_key.py:49: UserWarning: You are using a demo key to fetch data from OpenTopography, functionality will be limited. See https://bmi-topography.readthedocs.io/en/latest/#api-key for more information.\n",
560
- " warnings.warn(\n"
561
- ]
562
- },
563
- {
564
- "name": "stdout",
565
- "output_type": "stream",
566
- "text": [
567
- "Plotting topo\n",
568
- "Plotting waveform 1/15\n",
569
- "Station 36.277, -117.593697 has P velocity nan and S velocity nan\n",
570
- "Plotting waveform 2/15\n"
571
- ]
572
- },
573
- {
574
- "name": "stderr",
575
- "output_type": "stream",
576
- "text": [
577
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
578
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
579
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
580
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n"
581
- ]
582
- },
583
- {
584
- "name": "stdout",
585
- "output_type": "stream",
586
- "text": [
587
- "Station 35.66278, -118.47403 has P velocity 5.509786370336251 and S velocity 2.9747824951914903\n",
588
- "Plotting waveform 3/15\n",
589
- "Station 35.98249, -117.80885 has P velocity 4.130917960194064 and S velocity 2.262643275505274\n",
590
- "Plotting waveform 4/15\n"
591
- ]
592
- },
593
- {
594
- "name": "stderr",
595
- "output_type": "stream",
596
- "text": [
597
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
598
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
599
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
600
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n"
601
- ]
602
- },
603
- {
604
- "name": "stdout",
605
- "output_type": "stream",
606
- "text": [
607
- "Station 36.186001, -116.6698 has P velocity 6.119231109018811 and S velocity 3.5120359625275515\n",
608
- "Plotting waveform 5/15\n",
609
- "Station 36.645401, -116.338799 has P velocity 6.418864645982177 and S velocity 3.40318240942485\n",
610
- "Plotting waveform 6/15\n",
611
- "Station 34.875332, -116.996841 has P velocity 6.553167458647257 and S velocity 3.7407386971609977\n",
612
- "Plotting waveform 7/15\n"
613
- ]
614
- },
615
- {
616
- "name": "stderr",
617
- "output_type": "stream",
618
- "text": [
619
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
620
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
621
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
622
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n"
623
- ]
624
- },
625
- {
626
- "name": "stdout",
627
- "output_type": "stream",
628
- "text": [
629
- "Station 35.965, -116.869102 has P velocity 6.441474783566184 and S velocity 3.6633153313634157\n",
630
- "Plotting waveform 8/15\n",
631
- "Station 35.69235, -117.75051 has P velocity 3.4203901487527526 and S velocity 1.680319839371246\n",
632
- "Plotting waveform 9/15\n"
633
- ]
634
- },
635
- {
636
- "name": "stderr",
637
- "output_type": "stream",
638
- "text": [
639
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
640
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
641
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
642
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n"
643
- ]
644
- },
645
- {
646
- "name": "stdout",
647
- "output_type": "stream",
648
- "text": [
649
- "Station 36.439049, -118.080498 has P velocity 5.286053905666142 and S velocity 3.0215671601782677\n",
650
- "Plotting waveform 10/15\n",
651
- "Station 35.899529, -116.275299 has P velocity 6.306307564126418 and S velocity 3.5668976471999314\n",
652
- "Plotting waveform 11/15\n"
653
- ]
654
- },
655
- {
656
- "name": "stderr",
657
- "output_type": "stream",
658
- "text": [
659
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
660
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
661
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
662
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n"
663
- ]
664
- },
665
- {
666
- "name": "stdout",
667
- "output_type": "stream",
668
- "text": [
669
- "Station 34.6145, -118.7235 has P velocity nan and S velocity nan\n",
670
- "Plotting waveform 12/15\n"
671
- ]
672
- },
673
- {
674
- "name": "stderr",
675
- "output_type": "stream",
676
- "text": [
677
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
678
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n"
679
- ]
680
- },
681
- {
682
- "name": "stdout",
683
- "output_type": "stream",
684
- "text": [
685
- "Station 34.550461, -117.433907 has P velocity 6.294295200951223 and S velocity 3.416110775195922\n",
686
- "Plotting waveform 13/15\n",
687
- "Station 34.8811, -117.993881 has P velocity 6.080147521998276 and S velocity 3.3534711002313884\n",
688
- "Plotting waveform 14/15\n"
689
- ]
690
- },
691
- {
692
- "name": "stderr",
693
- "output_type": "stream",
694
- "text": [
695
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
696
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
697
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
698
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n"
699
- ]
700
- },
701
- {
702
- "name": "stdout",
703
- "output_type": "stream",
704
- "text": [
705
- "Station 34.8294, -116.335 has P velocity 6.6093598323533715 and S velocity 3.7813786210938956\n",
706
- "Plotting waveform 15/15\n",
707
- "Station 36.11758, -117.85486 has P velocity 4.7426953739315625 and S velocity 2.6477379954424243\n",
708
- "Plotting stations\n"
709
- ]
710
- },
711
- {
712
- "name": "stderr",
713
- "output_type": "stream",
714
- "text": [
715
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
716
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
717
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:393: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
718
- " output_picks = output_picks.append(pd.DataFrame({'station_name': [names[i]],\n",
719
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:413: UserWarning: FixedFormatter should only be used together with FixedLocator\n",
720
- " ax[i].set_xticklabels(ax[i].get_xticks(), rotation = 50)\n",
721
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:593: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.\n",
722
- " plt.colorbar(m)\n",
723
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:593: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.\n",
724
- " plt.colorbar(m)\n",
725
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:593: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.\n",
726
- " plt.colorbar(m)\n",
727
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:593: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.\n",
728
- " plt.colorbar(m)\n",
729
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:593: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.\n",
730
- " plt.colorbar(m)\n",
731
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:593: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.\n",
732
- " plt.colorbar(m)\n",
733
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:593: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.\n",
734
- " plt.colorbar(m)\n",
735
- "/var/folders/_g/3q5q8_dj0ydcpktxlwxb5vrh0000gq/T/ipykernel_21875/2718049065.py:593: MatplotlibDeprecationWarning: Unable to determine Axes to steal space for Colorbar. Using gca(), but will raise in the future. Either provide the *cax* argument to use as the Axes for the Colorbar, provide the *ax* argument to steal space from it, or add *mappable* to an Axes.\n",
736
- " plt.colorbar(m)\n"
737
- ]
738
  }
739
  ],
740
  "source": [
@@ -1514,20 +812,6 @@
1514
  " \n",
1515
  " button = gr.Button(\"Predict phases\")\n",
1516
  " output_image = gr.Image(label='Waveforms with Phases Marked', type='numpy', interactive=False)\n",
1517
- "\n",
1518
- " with gr.Row():\n",
1519
- " output_picks = gr.Dataframe(label='Pick data', \n",
1520
- " type='pandas', \n",
1521
- " interactive=False)\n",
1522
- " output_csv = gr.File(label=\"Output File\", file_types=[\".csv\"])\n",
1523
- "\n",
1524
- " button.click(predict_on_section, \n",
1525
- " inputs=[client_inputs, timestamp_inputs, \n",
1526
- " eq_lat_inputs, eq_lon_inputs, \n",
1527
- " radius_inputs, source_depth_inputs, \n",
1528
- " velocity_inputs, max_waveforms_inputs,\n",
1529
- " P_thres_inputs, S_thres_inputs],\n",
1530
- " outputs=[output_image, output_picks, output_csv])\n",
1531
  " \n",
1532
  " with gr.Row():\n",
1533
  " with gr.Column(scale=2):\n",
@@ -1548,6 +832,20 @@
1548
  " interpolate_input, n_lat_input, \n",
1549
  " n_lon_input, n_depth_input], \n",
1550
  " outputs=[outputs_vel_model])\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1551
  "\n",
1552
  "demo.launch()"
1553
  ]
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": 2,
6
  "metadata": {},
7
  "outputs": [
8
  {
9
  "name": "stdout",
10
  "output_type": "stream",
11
  "text": [
12
+ "Running on local URL: http://127.0.0.1:7861\n",
13
  "\n",
14
  "To create a public link, set `share=True` in `launch()`.\n"
15
  ]
 
17
  {
18
  "data": {
19
  "text/html": [
20
+ "<div><iframe src=\"http://127.0.0.1:7861/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
21
  ],
22
  "text/plain": [
23
  "<IPython.core.display.HTML object>"
 
30
  "data": {
31
  "text/plain": []
32
  },
33
+ "execution_count": 2,
34
  "metadata": {},
35
  "output_type": "execute_result"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
36
  }
37
  ],
38
  "source": [
 
812
  " \n",
813
  " button = gr.Button(\"Predict phases\")\n",
814
  " output_image = gr.Image(label='Waveforms with Phases Marked', type='numpy', interactive=False)\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
815
  " \n",
816
  " with gr.Row():\n",
817
  " with gr.Column(scale=2):\n",
 
832
  " interpolate_input, n_lat_input, \n",
833
  " n_lon_input, n_depth_input], \n",
834
  " outputs=[outputs_vel_model])\n",
835
+ " \n",
836
+ " with gr.Row():\n",
837
+ " output_picks = gr.Dataframe(label='Pick data', \n",
838
+ " type='pandas', \n",
839
+ " interactive=False)\n",
840
+ " output_csv = gr.File(label=\"Output File\", file_types=[\".csv\"])\n",
841
+ "\n",
842
+ " button.click(predict_on_section, \n",
843
+ " inputs=[client_inputs, timestamp_inputs, \n",
844
+ " eq_lat_inputs, eq_lon_inputs, \n",
845
+ " radius_inputs, source_depth_inputs, \n",
846
+ " velocity_inputs, max_waveforms_inputs,\n",
847
+ " P_thres_inputs, S_thres_inputs],\n",
848
+ " outputs=[output_image, output_picks, output_csv])\n",
849
  "\n",
850
  "demo.launch()"
851
  ]
app.py CHANGED
@@ -774,20 +774,6 @@ with gr.Blocks() as demo:
774
 
775
  button = gr.Button("Predict phases")
776
  output_image = gr.Image(label='Waveforms with Phases Marked', type='numpy', interactive=False)
777
-
778
- with gr.Row():
779
- output_picks = gr.Dataframe(label='Pick data',
780
- type='pandas',
781
- interactive=False)
782
- output_csv = gr.File(label="Output File", file_types=[".csv"])
783
-
784
- button.click(predict_on_section,
785
- inputs=[client_inputs, timestamp_inputs,
786
- eq_lat_inputs, eq_lon_inputs,
787
- radius_inputs, source_depth_inputs,
788
- velocity_inputs, max_waveforms_inputs,
789
- P_thres_inputs, S_thres_inputs],
790
- outputs=[output_image, output_picks, output_csv])
791
 
792
  with gr.Row():
793
  with gr.Column(scale=2):
@@ -808,5 +794,19 @@ with gr.Blocks() as demo:
808
  interpolate_input, n_lat_input,
809
  n_lon_input, n_depth_input],
810
  outputs=[outputs_vel_model])
 
 
 
 
 
 
 
 
 
 
 
 
 
 
811
 
812
  demo.launch()
 
774
 
775
  button = gr.Button("Predict phases")
776
  output_image = gr.Image(label='Waveforms with Phases Marked', type='numpy', interactive=False)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
777
 
778
  with gr.Row():
779
  with gr.Column(scale=2):
 
794
  interpolate_input, n_lat_input,
795
  n_lon_input, n_depth_input],
796
  outputs=[outputs_vel_model])
797
+
798
+ with gr.Row():
799
+ output_picks = gr.Dataframe(label='Pick data',
800
+ type='pandas',
801
+ interactive=False)
802
+ output_csv = gr.File(label="Output File", file_types=[".csv"])
803
+
804
+ button.click(predict_on_section,
805
+ inputs=[client_inputs, timestamp_inputs,
806
+ eq_lat_inputs, eq_lon_inputs,
807
+ radius_inputs, source_depth_inputs,
808
+ velocity_inputs, max_waveforms_inputs,
809
+ P_thres_inputs, S_thres_inputs],
810
+ outputs=[output_image, output_picks, output_csv])
811
 
812
  demo.launch()