Spaces:
Sleeping
Sleeping
Dmitry Trifonov
commited on
Commit
·
aeb505f
1
Parent(s):
5d69e43
add tunneling support
Browse files- text_to_image.py +94 -27
text_to_image.py
CHANGED
|
@@ -1,6 +1,8 @@
|
|
| 1 |
import base64
|
| 2 |
import logging
|
| 3 |
import os
|
|
|
|
|
|
|
| 4 |
import requests
|
| 5 |
import time
|
| 6 |
from io import BytesIO
|
|
@@ -11,18 +13,23 @@ from fair import FairClient
|
|
| 11 |
logger = logging.getLogger()
|
| 12 |
|
| 13 |
SERVER_ADDRESS = "https://faircompute.com:8000"
|
| 14 |
-
|
| 15 |
-
|
| 16 |
# SERVER_ADDRESS = "http://localhost:8000"
|
| 17 |
-
#
|
| 18 |
-
#
|
|
|
|
|
|
|
|
|
|
| 19 |
|
| 20 |
-
|
|
|
|
| 21 |
|
| 22 |
|
| 23 |
class EndpointClient:
|
| 24 |
-
def __init__(self, timeout):
|
| 25 |
-
|
|
|
|
| 26 |
if response['state'] != 'healthy':
|
| 27 |
raise Exception("Server is not healthy")
|
| 28 |
|
|
@@ -43,7 +50,7 @@ class EndpointClient:
|
|
| 43 |
},
|
| 44 |
}
|
| 45 |
|
| 46 |
-
response = requests.post(
|
| 47 |
image_data = BytesIO(base64.b64decode(response["image_base64"]))
|
| 48 |
image = Image.open(image_data)
|
| 49 |
|
|
@@ -54,10 +61,17 @@ class ServerNotReadyException(Exception):
|
|
| 54 |
pass
|
| 55 |
|
| 56 |
|
| 57 |
-
def
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 58 |
for i in range(retries):
|
| 59 |
try:
|
| 60 |
-
return EndpointClient(timeout=timeout)
|
| 61 |
except (requests.exceptions.ConnectionError, requests.exceptions.HTTPError, requests.exceptions.Timeout) as e:
|
| 62 |
logging.exception(e)
|
| 63 |
time.sleep(delay)
|
|
@@ -65,27 +79,80 @@ def wait_for_server(retries, timeout=1.0, delay=2.0):
|
|
| 65 |
raise ServerNotReadyException("Failed to start the server")
|
| 66 |
|
| 67 |
|
| 68 |
-
def
|
| 69 |
-
#
|
| 70 |
-
|
| 71 |
-
|
| 72 |
-
|
| 73 |
-
|
| 74 |
-
|
| 75 |
-
|
| 76 |
-
|
| 77 |
-
|
| 78 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 79 |
|
| 80 |
|
| 81 |
def text_to_image(text):
|
| 82 |
-
|
| 83 |
-
|
| 84 |
-
|
| 85 |
-
|
| 86 |
-
client = wait_for_server(retries=10)
|
| 87 |
|
| 88 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 89 |
|
| 90 |
|
| 91 |
if __name__ == "__main__":
|
|
|
|
| 1 |
import base64
|
| 2 |
import logging
|
| 3 |
import os
|
| 4 |
+
import hashlib
|
| 5 |
+
|
| 6 |
import requests
|
| 7 |
import time
|
| 8 |
from io import BytesIO
|
|
|
|
| 13 |
logger = logging.getLogger()
|
| 14 |
|
| 15 |
SERVER_ADDRESS = "https://faircompute.com:8000"
|
| 16 |
+
INFERENCE_NODE = "119eccba-2388-43c1-bdb9-02133049604c"
|
| 17 |
+
TUNNEL_NODE = "c312e6c4788b00c73c287ab0445d3655"
|
| 18 |
# SERVER_ADDRESS = "http://localhost:8000"
|
| 19 |
+
# INFERENCE_NODE = "ef09913249aa40ecba7d0097f7622855"
|
| 20 |
+
# TUNNEL_NODE = "c312e6c4788b00c73c287ab0445d3655"
|
| 21 |
+
|
| 22 |
+
INFERENCE_DOCKER_IMAGE = "faircompute/diffusers-api-dreamshaper-8"
|
| 23 |
+
TUNNEL_DOCKER_IMAGE = "rapiz1/rathole"
|
| 24 |
|
| 25 |
+
endpoint_client = None
|
| 26 |
+
fair_client = None
|
| 27 |
|
| 28 |
|
| 29 |
class EndpointClient:
|
| 30 |
+
def __init__(self, server_address, timeout):
|
| 31 |
+
self.endpoint_address = f'http://{server_address}:5000'
|
| 32 |
+
response = requests.get(os.path.join(self.endpoint_address, 'healthcheck'), timeout=timeout).json()
|
| 33 |
if response['state'] != 'healthy':
|
| 34 |
raise Exception("Server is not healthy")
|
| 35 |
|
|
|
|
| 50 |
},
|
| 51 |
}
|
| 52 |
|
| 53 |
+
response = requests.post(self.endpoint_address, json=inputs).json()
|
| 54 |
image_data = BytesIO(base64.b64decode(response["image_base64"]))
|
| 55 |
image = Image.open(image_data)
|
| 56 |
|
|
|
|
| 61 |
pass
|
| 62 |
|
| 63 |
|
| 64 |
+
def create_fair_client():
|
| 65 |
+
return FairClient(server_address=SERVER_ADDRESS,
|
| 66 |
+
user_email=os.getenv('FAIRCOMPUTE_EMAIL', "debug-usr"),
|
| 67 |
+
user_password=os.environ.get('FAIRCOMPUTE_PASSWORD', "debug-pwd"))
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
def create_endpoint_client(fc, retries, timeout=1.0, delay=2.0):
|
| 71 |
+
server_address = next(info['host_address'] for info in fc.get_nodes() if info['node_id'] == TUNNEL_NODE)
|
| 72 |
for i in range(retries):
|
| 73 |
try:
|
| 74 |
+
return EndpointClient(server_address, timeout=timeout)
|
| 75 |
except (requests.exceptions.ConnectionError, requests.exceptions.HTTPError, requests.exceptions.Timeout) as e:
|
| 76 |
logging.exception(e)
|
| 77 |
time.sleep(delay)
|
|
|
|
| 79 |
raise ServerNotReadyException("Failed to start the server")
|
| 80 |
|
| 81 |
|
| 82 |
+
def start_tunnel(fc: FairClient):
|
| 83 |
+
# generate fixed random authentication token based off some secret
|
| 84 |
+
token = hashlib.sha256(os.environ.get('FAIRCOMPUTE_PASSWORD', "debug-pwd").encode()).hexdigest()
|
| 85 |
+
|
| 86 |
+
# start tunnel node
|
| 87 |
+
server_config = f"""
|
| 88 |
+
[server]
|
| 89 |
+
bind_addr = "0.0.0.0:2333" # port that rathole listens for clients
|
| 90 |
+
|
| 91 |
+
[server.services.inference_server]
|
| 92 |
+
token = "{token}" # token that is used to authenticate the client for the service
|
| 93 |
+
bind_addr = "0.0.0.0:5000" # port that exposes service to the Internet
|
| 94 |
+
"""
|
| 95 |
+
with open('server.toml', 'w') as file:
|
| 96 |
+
file.write(server_config)
|
| 97 |
+
fc.run(node=TUNNEL_NODE,
|
| 98 |
+
image=TUNNEL_DOCKER_IMAGE,
|
| 99 |
+
command=["--server", "/app/config.toml"],
|
| 100 |
+
volumes=[("./server.toml", "/app/config.toml")],
|
| 101 |
+
network="host",
|
| 102 |
+
detach=True)
|
| 103 |
+
|
| 104 |
+
server_address = next(info['host_address'] for info in fc.get_nodes() if info['node_id'] == TUNNEL_NODE)
|
| 105 |
+
client_config = f"""
|
| 106 |
+
[client]
|
| 107 |
+
remote_addr = "{server_address}:2333" # address of the rathole server
|
| 108 |
+
|
| 109 |
+
[client.services.inference_server]
|
| 110 |
+
token = "{token}" # token that is used to authenticate the client for the service
|
| 111 |
+
local_addr = "127.0.0.1:5001" # address of the service that needs to be forwarded
|
| 112 |
+
"""
|
| 113 |
+
with open('client.toml', 'w') as file:
|
| 114 |
+
file.write(client_config)
|
| 115 |
+
fc.run(node=INFERENCE_NODE,
|
| 116 |
+
image=TUNNEL_DOCKER_IMAGE,
|
| 117 |
+
command=["--client", "/app/config.toml"],
|
| 118 |
+
volumes=[("./client.toml", "/app/config.toml")],
|
| 119 |
+
network="host",
|
| 120 |
+
detach=True)
|
| 121 |
+
|
| 122 |
+
|
| 123 |
+
def start_inference_server(fc: FairClient):
|
| 124 |
+
fc.run(node=INFERENCE_NODE,
|
| 125 |
+
image=INFERENCE_DOCKER_IMAGE,
|
| 126 |
+
runtime="nvidia",
|
| 127 |
+
ports=[(5001, 8000)],
|
| 128 |
+
detach=True)
|
| 129 |
+
|
| 130 |
+
|
| 131 |
+
def start_services(fc):
|
| 132 |
+
start_tunnel(fc)
|
| 133 |
+
start_inference_server(fc)
|
| 134 |
|
| 135 |
|
| 136 |
def text_to_image(text):
|
| 137 |
+
global endpoint_client
|
| 138 |
+
global fair_client
|
| 139 |
+
if fair_client is None:
|
| 140 |
+
fair_client = create_fair_client()
|
|
|
|
| 141 |
|
| 142 |
+
try:
|
| 143 |
+
if endpoint_client is None: # try connecting to the server
|
| 144 |
+
endpoint_client = create_endpoint_client(fair_client, 1)
|
| 145 |
+
else: # try inference
|
| 146 |
+
return endpoint_client.infer(text)
|
| 147 |
+
except (requests.exceptions.ConnectionError, requests.exceptions.HTTPError, requests.exceptions.Timeout):
|
| 148 |
+
endpoint_client = None
|
| 149 |
+
|
| 150 |
+
# start all services
|
| 151 |
+
if endpoint_client is None:
|
| 152 |
+
start_services(fair_client)
|
| 153 |
+
endpoint_client = create_endpoint_client(fair_client, retries=10)
|
| 154 |
+
|
| 155 |
+
return endpoint_client.infer(text)
|
| 156 |
|
| 157 |
|
| 158 |
if __name__ == "__main__":
|