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February commit : Gradio version bump
readme edit. run colab exclusion. httpx
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,69 +1,70 @@ | ||
| import os, math, subprocess, pickle, sys | ||
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| branchtype = 'lite' | ||
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| if len(sys.argv) == 2: | ||
| branchargs = sys.argv[1] | ||
| branchtype = branchargs | ||
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| import gradio as gr | ||
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| # subprocess.run("apt -y install -qq aria2", shell=True, check=True) | ||
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| everycolab = f'/content/camendurus/{branchtype}' | ||
| everycolabname = [] | ||
| colabnamepair = [] | ||
| for colabname in os.listdir(everycolab): | ||
| colabnamepruned = colabname.partition('_webui_colab.ipynb')[0] | ||
| everycolabname.append(colabnamepruned) | ||
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| sortedcolabname = sorted(everycolabname) | ||
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| vclvarpath = '/content/vclvariables' | ||
| def pickledump(vartodump, outputfile): | ||
| outputpath = os.path.join(vclvarpath, outputfile + '.pkl') | ||
| with open(outputpath, 'wb') as f: | ||
| pickle.dump(vartodump, f) | ||
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| # 'sortedcolabname' will be accessed by the main colab notebook | ||
| pickledump(sortedcolabname, 'sortedcolabname') | ||
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| # totalcolabcount = len(everycolabname) | ||
| # for i, colabname in enumerate(sortedcolabname): | ||
| # halfall = math.ceil(totalcolabcount / 2) | ||
| # numberedname = "{} | {}".format(i, colabname.ljust(30)) | ||
| # if i <= halfall: | ||
| # colabnamepair.append(numberedname) | ||
| # else: | ||
| # rev_index = (i - halfall) - 1 | ||
| # colabnamepair[rev_index] += "\t" + numberedname | ||
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| # for colabpair in colabnamepair: | ||
| # print(colabpair) | ||
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| # chosencolabname = '' | ||
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| # while True: | ||
| # choosenumber = input('Choose the number of the model you want: ') | ||
| # if choosenumber.isdigit() and int(choosenumber) < totalcolabcount: | ||
| # chosencolabname = sortedcolabname[int(choosenumber)] + '_webui_colab.ipynb' | ||
| # print("Model from " + chosencolabname + " will be downloaded immediately after all the dependencies is installed. Please wait") | ||
| # break | ||
| # elif choosenumber == '': | ||
| # print("No model will be pre-downloaded. Dependencies installation will continue.") | ||
| # break | ||
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| # aria2c_lines = [] | ||
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| # if chosencolabname: | ||
| # if os.path.exists(os.path.join(everycolab, chosencolabname)): | ||
| # with open(os.path.join(everycolab, chosencolabname), 'r', encoding='utf-8') as f: | ||
| # for line in f: | ||
| # stripped_line = line.strip() | ||
| # if stripped_line.startswith('"!aria2c'): | ||
| # aria2c_lines.append(stripped_line) | ||
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| # if aria2c_lines: | ||
| # with open('/content/arialist.pkl', 'wb') as f: | ||
| import os, math, subprocess, pickle, sys | ||
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| branchtype = 'lite' | ||
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| if len(sys.argv) == 2: | ||
| branchargs = sys.argv[1] | ||
| branchtype = branchargs | ||
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| import gradio as gr | ||
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| # subprocess.run("apt -y install -qq aria2", shell=True, check=True) | ||
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| everycolab = f'/content/camendurus/{branchtype}' | ||
| everycolabname = [] | ||
| colabnamepair = [] | ||
| for colabname in os.listdir(everycolab): | ||
| if not colabname.endswith('_run.ipynb'): | ||
| colabnamepruned = colabname.partition('_webui_colab.ipynb')[0] | ||
| everycolabname.append(colabnamepruned) | ||
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| sortedcolabname = sorted(everycolabname) | ||
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| vclvarpath = '/content/vclvariables' | ||
| def pickledump(vartodump, outputfile): | ||
| outputpath = os.path.join(vclvarpath, outputfile + '.pkl') | ||
| with open(outputpath, 'wb') as f: | ||
| pickle.dump(vartodump, f) | ||
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| # 'sortedcolabname' will be accessed by the main colab notebook | ||
| pickledump(sortedcolabname, 'sortedcolabname') | ||
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| # totalcolabcount = len(everycolabname) | ||
| # for i, colabname in enumerate(sortedcolabname): | ||
| # halfall = math.ceil(totalcolabcount / 2) | ||
| # numberedname = "{} | {}".format(i, colabname.ljust(30)) | ||
| # if i <= halfall: | ||
| # colabnamepair.append(numberedname) | ||
| # else: | ||
| # rev_index = (i - halfall) - 1 | ||
| # colabnamepair[rev_index] += "\t" + numberedname | ||
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| # for colabpair in colabnamepair: | ||
| # print(colabpair) | ||
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| # chosencolabname = '' | ||
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| # while True: | ||
| # choosenumber = input('Choose the number of the model you want: ') | ||
| # if choosenumber.isdigit() and int(choosenumber) < totalcolabcount: | ||
| # chosencolabname = sortedcolabname[int(choosenumber)] + '_webui_colab.ipynb' | ||
| # print("Model from " + chosencolabname + " will be downloaded immediately after all the dependencies is installed. Please wait") | ||
| # break | ||
| # elif choosenumber == '': | ||
| # print("No model will be pre-downloaded. Dependencies installation will continue.") | ||
| # break | ||
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| # aria2c_lines = [] | ||
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| # if chosencolabname: | ||
| # if os.path.exists(os.path.join(everycolab, chosencolabname)): | ||
| # with open(os.path.join(everycolab, chosencolabname), 'r', encoding='utf-8') as f: | ||
| # for line in f: | ||
| # stripped_line = line.strip() | ||
| # if stripped_line.startswith('"!aria2c'): | ||
| # aria2c_lines.append(stripped_line) | ||
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| # if aria2c_lines: | ||
| # with open('/content/arialist.pkl', 'wb') as f: | ||
| # pickle.dump(aria2c_lines, f) |
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