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Code Issues Packages Projects Releases Wiki Activity

New universal API with streaming/blocking endpoints (#990)

Browse Source 
Previous title: Add api_streaming extension and update api-example-stream to use it

* Merge with latest main

* Add parameter capturing encoder_repetition_penalty

* Change some defaults, minor fixes

* Add --api, --public-api flags

* remove unneeded/broken comment from blocking API startup. The comment is already correctly emitted in try_start_cloudflared by calling the lambda we pass in.

* Update on_start message for blocking_api, it should say 'non-streaming' and not 'streaming'

* Update the API examples

* Change a comment

* Update README

* Remove the gradio API

* Remove unused import

* Minor change

* Remove unused import

---------

Co-authored-by: oobabooga <112222186+oobabooga@users.noreply.github.com>
This commit is contained in:
Andy Salerno 2023-04-23 11:52:43 -07:00 committed by GitHub
parent 459e725af9
commit 654933c634
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12 changed files with 346 additions and 286 deletions
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7
README.md
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@ -269,6 +269,13 @@ Optionally, you can use the following command-line flags:
| `--auto-launch` | Open the web UI in the default browser upon launch. |
| `--gradio-auth-path GRADIO_AUTH_PATH` | Set the gradio authentication file path. The file should contain one or more user:password pairs in this format: "u1:p1,u2:p2,u3:p3" |
#### API
| Flag | Description |
|---------------------------------------|-------------|
| `--api` | Enable the API extension. |
| `--public-api` | Create a public URL for the API using Cloudfare. |
Out of memory errors? [Check the low VRAM guide](docs/Low-VRAM-guide.md).
## Presets

102
api-example-stream.py
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@ -1,39 +1,30 @@
'''
Contributed by SagsMug. Thank you SagsMug.
https://github.com/oobabooga/text-generation-webui/pull/175
'''
import asyncio
import json
import random
import string
import sys
import websockets
try:
import websockets
except ImportError:
print("Websockets package not found. Make sure it's installed.")
# Gradio changes this index from time to time. To rediscover it, set VISIBLE = False in
# modules/api.py and use the dev tools to inspect the request made after clicking on the
# button called "Run" at the bottom of the UI
GRADIO_FN = 34
def random_hash():
letters = string.ascii_lowercase + string.digits
return ''.join(random.choice(letters) for i in range(9))
# For local streaming, the websockets are hosted without ssl - ws://
HOST = 'localhost:5005'
URI = f'ws://{HOST}/api/v1/stream'
# For reverse-proxied streaming, the remote will likely host with ssl - wss://
# URI = 'wss://your-uri-here.trycloudflare.com/api/v1/stream'
async def run(context):
server = "127.0.0.1"
params = {
'max_new_tokens': 200,
# Note: the selected defaults change from time to time.
request = {
'prompt': context,
'max_new_tokens': 250,
'do_sample': True,
'temperature': 0.72,
'top_p': 0.73,
'temperature': 1.3,
'top_p': 0.1,
'typical_p': 1,
'repetition_penalty': 1.1,
'encoder_repetition_penalty': 1.0,
'top_k': 0,
'repetition_penalty': 1.18,
'top_k': 40,
'min_length': 0,
'no_repeat_ngram_size': 0,
'num_beams': 1,
@ -45,48 +36,31 @@ async def run(context):
'truncation_length': 2048,
'ban_eos_token': False,
'skip_special_tokens': True,
'stopping_strings': [],
'stopping_strings': []
}
payload = json.dumps([context, params])
session = random_hash()
async with websockets.connect(f"ws://{server}:7860/queue/join") as websocket:
while content := json.loads(await websocket.recv()):
# Python3.10 syntax, replace with if elif on older
match content["msg"]:
case "send_hash":
await websocket.send(json.dumps({
"session_hash": session,
"fn_index": GRADIO_FN
}))
case "estimation":
pass
case "send_data":
await websocket.send(json.dumps({
"session_hash": session,
"fn_index": GRADIO_FN,
"data": [
payload
]
}))
case "process_starts":
pass
case "process_generating" | "process_completed":
yield content["output"]["data"][0]
# You can search for your desired end indicator and
# stop generation by closing the websocket here
if (content["msg"] == "process_completed"):
break
async with websockets.connect(URI) as websocket:
await websocket.send(json.dumps(request))
prompt = "What I would like to say is the following: "
yield context # Remove this if you just want to see the reply
while True:
incoming_data = await websocket.recv()
incoming_data = json.loads(incoming_data)
match incoming_data['event']:
case 'text_stream':
yield incoming_data['text']
case 'stream_end':
return
async def get_result():
async def print_response_stream(prompt):
async for response in run(prompt):
# Print intermediate steps
print(response)
print(response, end='')
sys.stdout.flush() # If we don't flush, we won't see tokens in realtime.
# Print final result
print(response)
asyncio.run(get_result())
if __name__ == '__main__':
prompt = "In order to make homemade bread, follow these steps:\n1)"
asyncio.run(print_response_stream(prompt))

61
api-example.py
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@ -1,33 +1,22 @@
'''
This is an example on how to use the API for oobabooga/text-generation-webui.
Make sure to start the web UI with the following flags:
python server.py --model MODEL --listen --no-stream
Optionally, you can also add the --share flag to generate a public gradio URL,
allowing you to use the API remotely.
'''
import json
import requests
# Server address
server = "127.0.0.1"
# For local streaming, the websockets are hosted without ssl - http://
HOST = 'localhost:5000'
URI = f'http://{HOST}/api/v1/generate'
# Generation parameters
# Reference: https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig
params = {
'max_new_tokens': 200,
# For reverse-proxied streaming, the remote will likely host with ssl - https://
# URI = 'https://your-uri-here.trycloudflare.com/api/v1/generate'
def run(context):
request = {
'prompt': prompt,
'max_new_tokens': 250,
'do_sample': True,
'temperature': 0.72,
'top_p': 0.73,
'temperature': 1.3,
'top_p': 0.1,
'typical_p': 1,
'repetition_penalty': 1.1,
'encoder_repetition_penalty': 1.0,
'top_k': 0,
'repetition_penalty': 1.18,
'top_k': 40,
'min_length': 0,
'no_repeat_ngram_size': 0,
'num_beams': 1,
@ -39,19 +28,15 @@ params = {
'truncation_length': 2048,
'ban_eos_token': False,
'skip_special_tokens': True,
'stopping_strings': [],
}
'stopping_strings': []
}
# Input prompt
prompt = "What I would like to say is the following: "
response = requests.post(URI, json=request)
payload = json.dumps([prompt, params])
if response.status_code == 200:
result = response.json()['results'][0]['text']
print(prompt + result)
response = requests.post(f"http://{server}:7860/run/textgen", json={
"data": [
payload
]
}).json()
reply = response["data"][0]
print(reply)
if __name__ == '__main__':
prompt = "In order to make homemade bread, follow these steps:\n1)"
run(prompt)

90
extensions/api/blocking_api.py Normal file
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@ -0,0 +1,90 @@
import json
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from threading import Thread
from modules import shared
from modules.text_generation import encode, generate_reply
from extensions.api.util import build_parameters, try_start_cloudflared
class Handler(BaseHTTPRequestHandler):
def do_GET(self):
if self.path == '/api/v1/model':
self.send_response(200)
self.end_headers()
response = json.dumps({
'result': shared.model_name
})
self.wfile.write(response.encode('utf-8'))
else:
self.send_error(404)
def do_POST(self):
content_length = int(self.headers['Content-Length'])
body = json.loads(self.rfile.read(content_length).decode('utf-8'))
if self.path == '/api/v1/generate':
self.send_response(200)
self.send_header('Content-Type', 'application/json')
self.end_headers()
prompt = body['prompt']
generate_params = build_parameters(body)
stopping_strings = generate_params.pop('stopping_strings')
generator = generate_reply(
prompt, generate_params, stopping_strings=stopping_strings)
answer = ''
for a in generator:
if isinstance(a, str):
answer = a
else:
answer = a[0]
response = json.dumps({
'results': [{
'text': answer if shared.is_chat() else answer[len(prompt):]
}]
})
self.wfile.write(response.encode('utf-8'))
elif self.path == '/api/v1/token-count':
self.send_response(200)
self.send_header('Content-Type', 'application/json')
self.end_headers()
tokens = encode(body['prompt'])[0]
response = json.dumps({
'results': [{
'tokens': len(tokens)
}]
})
self.wfile.write(response.encode('utf-8'))
else:
self.send_error(404)
def _run_server(port: int, share: bool=False):
address = '0.0.0.0' if shared.args.listen else '127.0.0.1'
server = ThreadingHTTPServer((address, port), Handler)
def on_start(public_url: str):
print(f'Starting non-streaming server at public url {public_url}/api')
if share:
try:
try_start_cloudflared(port, max_attempts=3, on_start=on_start)
except Exception:
pass
else:
print(
f'Starting API at http://{address}:{port}/api')
server.serve_forever()
def start_server(port: int, share: bool = False):
Thread(target=_run_server, args=[port, share], daemon=True).start()

1
extensions/api/requirements.txt
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@ -1 +1,2 @@
flask_cloudflared==0.0.12
websockets==11.0.2

117
extensions/api/script.py
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@ -1,115 +1,10 @@
import json
from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
from threading import Thread
import extensions.api.blocking_api as blocking_api
import extensions.api.streaming_api as streaming_api
from modules import shared
from modules.text_generation import encode, generate_reply
params = {
'port': 5000,
}
class Handler(BaseHTTPRequestHandler):
def do_GET(self):
if self.path == '/api/v1/model':
self.send_response(200)
self.end_headers()
response = json.dumps({
'result': shared.model_name
})
self.wfile.write(response.encode('utf-8'))
else:
self.send_error(404)
def do_POST(self):
content_length = int(self.headers['Content-Length'])
body = json.loads(self.rfile.read(content_length).decode('utf-8'))
if self.path == '/api/v1/generate':
self.send_response(200)
self.send_header('Content-Type', 'application/json')
self.end_headers()
prompt = body['prompt']
prompt_lines = [k.strip() for k in prompt.split('\n')]
max_context = body.get('max_context_length', 2048)
while len(prompt_lines) >= 0 and len(encode('\n'.join(prompt_lines))) > max_context:
prompt_lines.pop(0)
prompt = '\n'.join(prompt_lines)
generate_params = {
'max_new_tokens': int(body.get('max_length', 200)),
'do_sample': bool(body.get('do_sample', True)),
'temperature': float(body.get('temperature', 0.5)),
'top_p': float(body.get('top_p', 1)),
'typical_p': float(body.get('typical', 1)),
'repetition_penalty': float(body.get('rep_pen', 1.1)),
'encoder_repetition_penalty': 1,
'top_k': int(body.get('top_k', 0)),
'min_length': int(body.get('min_length', 0)),
'no_repeat_ngram_size': int(body.get('no_repeat_ngram_size', 0)),
'num_beams': int(body.get('num_beams', 1)),
'penalty_alpha': float(body.get('penalty_alpha', 0)),
'length_penalty': float(body.get('length_penalty', 1)),
'early_stopping': bool(body.get('early_stopping', False)),
'seed': int(body.get('seed', -1)),
'add_bos_token': int(body.get('add_bos_token', True)),
'truncation_length': int(body.get('truncation_length', 2048)),
'ban_eos_token': bool(body.get('ban_eos_token', False)),
'skip_special_tokens': bool(body.get('skip_special_tokens', True)),
'custom_stopping_strings': '', # leave this blank
'stopping_strings': body.get('stopping_strings', []),
}
stopping_strings = generate_params.pop('stopping_strings')
generator = generate_reply(prompt, generate_params, stopping_strings=stopping_strings)
answer = ''
for a in generator:
if isinstance(a, str):
answer = a
else:
answer = a[0]
response = json.dumps({
'results': [{
'text': answer if shared.is_chat() else answer[len(prompt):]
}]
})
self.wfile.write(response.encode('utf-8'))
elif self.path == '/api/v1/token-count':
# Not compatible with KoboldAI api
self.send_response(200)
self.send_header('Content-Type', 'application/json')
self.end_headers()
tokens = encode(body['prompt'])[0]
response = json.dumps({
'results': [{
'tokens': len(tokens)
}]
})
self.wfile.write(response.encode('utf-8'))
else:
self.send_error(404)
def run_server():
server_addr = ('0.0.0.0' if shared.args.listen else '127.0.0.1', params['port'])
server = ThreadingHTTPServer(server_addr, Handler)
if shared.args.share:
try:
from flask_cloudflared import _run_cloudflared
public_url = _run_cloudflared(params['port'], params['port'] + 1)
print(f'Starting KoboldAI compatible api at {public_url}/api')
except ImportError:
print('You should install flask_cloudflared manually')
else:
print(f'Starting KoboldAI compatible api at http://{server_addr[0]}:{server_addr[1]}/api')
server.serve_forever()
BLOCKING_PORT = 5000
STREAMING_PORT = 5005
def setup():
Thread(target=run_server, daemon=True).start()
blocking_api.start_server(BLOCKING_PORT, share=shared.args.public_api)
streaming_api.start_server(STREAMING_PORT, share=shared.args.public_api)

80
extensions/api/streaming_api.py Normal file
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@ -0,0 +1,80 @@
import json
import asyncio
from websockets.server import serve
from threading import Thread
from modules import shared
from modules.text_generation import generate_reply
from extensions.api.util import build_parameters, try_start_cloudflared
PATH = '/api/v1/stream'
async def _handle_connection(websocket, path):
if path != PATH:
print(f'Streaming api: unknown path: {path}')
return
async for message in websocket:
message = json.loads(message)
prompt = message['prompt']
generate_params = build_parameters(message)
stopping_strings = generate_params.pop('stopping_strings')
generator = generate_reply(
prompt, generate_params, stopping_strings=stopping_strings)
# As we stream, only send the new bytes.
skip_index = len(prompt) if not shared.is_chat() else 0
message_num = 0
for a in generator:
to_send = ''
if isinstance(a, str):
to_send = a[skip_index:]
else:
to_send = a[0][skip_index:]
await websocket.send(json.dumps({
'event': 'text_stream',
'message_num': message_num,
'text': to_send
}))
skip_index += len(to_send)
message_num += 1
await websocket.send(json.dumps({
'event': 'stream_end',
'message_num': message_num
}))
async def _run(host: str, port: int):
async with serve(_handle_connection, host, port):
await asyncio.Future() # run forever
def _run_server(port: int, share: bool = False):
address = '0.0.0.0' if shared.args.listen else '127.0.0.1'
def on_start(public_url: str):
public_url = public_url.replace('https://', 'wss://')
print(f'Starting streaming server at public url {public_url}{PATH}')
if share:
try:
try_start_cloudflared(port, max_attempts=3, on_start=on_start)
except Exception as e:
print(e)
else:
print(f'Starting streaming server at ws://{address}:{port}{PATH}')
asyncio.run(_run(host=address, port=port))
def start_server(port: int, share: bool = False):
Thread(target=_run_server, args=[port, share], daemon=True).start()

69
extensions/api/util.py Normal file
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@ -0,0 +1,69 @@
from threading import Thread
import time
from typing import Callable, Optional
from modules.text_generation import encode
def build_parameters(body):
prompt = body['prompt']
prompt_lines = [k.strip() for k in prompt.split('\n')]
max_context = body.get('max_context_length', 2048)
while len(prompt_lines) >= 0 and len(encode('\n'.join(prompt_lines))) > max_context:
prompt_lines.pop(0)
prompt = '\n'.join(prompt_lines)
generate_params = {
'max_new_tokens': int(body.get('max_new_tokens', body.get('max_length', 200))),
'do_sample': bool(body.get('do_sample', True)),
'temperature': float(body.get('temperature', 0.5)),
'top_p': float(body.get('top_p', 1)),
'typical_p': float(body.get('typical_p', body.get('typical', 1))),
'repetition_penalty': float(body.get('repetition_penalty', body.get('rep_pen', 1.1))),
'encoder_repetition_penalty': float(body.get('encoder_repetition_penalty', 1.0)),
'top_k': int(body.get('top_k', 0)),
'min_length': int(body.get('min_length', 0)),
'no_repeat_ngram_size': int(body.get('no_repeat_ngram_size', 0)),
'num_beams': int(body.get('num_beams', 1)),
'penalty_alpha': float(body.get('penalty_alpha', 0)),
'length_penalty': float(body.get('length_penalty', 1)),
'early_stopping': bool(body.get('early_stopping', False)),
'seed': int(body.get('seed', -1)),
'add_bos_token': int(body.get('add_bos_token', True)),
'truncation_length': int(body.get('truncation_length', 2048)),
'ban_eos_token': bool(body.get('ban_eos_token', False)),
'skip_special_tokens': bool(body.get('skip_special_tokens', True)),
'custom_stopping_strings': '', # leave this blank
'stopping_strings': body.get('stopping_strings', []),
}
return generate_params
def try_start_cloudflared(port: int, max_attempts: int = 3, on_start: Optional[Callable[[str], None]] = None):
Thread(target=_start_cloudflared, args=[
port, max_attempts, on_start], daemon=True).start()
def _start_cloudflared(port: int, max_attempts: int = 3, on_start: Optional[Callable[[str], None]] = None):
try:
from flask_cloudflared import _run_cloudflared
except ImportError:
print('You should install flask_cloudflared manually')
raise Exception(
'flask_cloudflared not installed. Make sure you installed the requirements.txt for this extension.')
for _ in range(max_attempts):
try:
public_url = _run_cloudflared(port, port + 1)
if on_start:
on_start(public_url)
return
except Exception:
time.sleep(3)
raise Exception('Could not start cloudflared.')

52
modules/api.py
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@ -1,52 +0,0 @@
import json
import gradio as gr
from modules import shared
from modules.text_generation import generate_reply
# set this to True to rediscover the fn_index using the browser DevTools
VISIBLE = False
def generate_reply_wrapper(string):
# Provide defaults so as to not break the API on the client side when new parameters are added
generate_params = {
'max_new_tokens': 200,
'do_sample': True,
'temperature': 0.5,
'top_p': 1,
'typical_p': 1,
'repetition_penalty': 1.1,
'encoder_repetition_penalty': 1,
'top_k': 0,
'min_length': 0,
'no_repeat_ngram_size': 0,
'num_beams': 1,
'penalty_alpha': 0,
'length_penalty': 1,
'early_stopping': False,
'seed': -1,
'add_bos_token': True,
'custom_stopping_strings': '',
'truncation_length': 2048,
'ban_eos_token': False,
'skip_special_tokens': True,
'stopping_strings': [],
}
params = json.loads(string)
generate_params.update(params[1])
stopping_strings = generate_params.pop('stopping_strings')
for i in generate_reply(params[0], generate_params, stopping_strings=stopping_strings):
yield i
def create_apis():
t1 = gr.Textbox(visible=VISIBLE)
t2 = gr.Textbox(visible=VISIBLE)
dummy = gr.Button(visible=VISIBLE)
input_params = [t1]
output_params = [t2] + [shared.gradio[k] for k in ['markdown', 'html']]
dummy.click(generate_reply_wrapper, input_params, output_params, api_name='textgen')

3
modules/extensions.py
View File

@ -14,6 +14,7 @@ def load_extensions():
global state, setup_called
for i, name in enumerate(shared.args.extensions):
if name in available_extensions:
if name != 'api':
print(f'Loading the extension "{name}"... ', end='')
try:
exec(f"import extensions.{name}.script")
@ -22,8 +23,10 @@ def load_extensions():
setup_called.add(extension)
extension.setup()
state[name] = [True, i]
if name != 'api':
print('Ok.')
except:
if name != 'api':
print('Fail.')
traceback.print_exc()

12
modules/shared.py
View File

@ -150,6 +150,11 @@ parser.add_argument('--share', action='store_true', help='Create a public URL. T
parser.add_argument('--auto-launch', action='store_true', default=False, help='Open the web UI in the default browser upon launch.')
parser.add_argument("--gradio-auth-path", type=str, help='Set the gradio authentication file path. The file should contain one or more user:password pairs in this format: "u1:p1,u2:p2,u3:p3"', default=None)
# API
parser.add_argument('--api', action='store_true', help='Enable the API extension.')
parser.add_argument('--public-api', action='store_true', help='Create a public URL for the API using Cloudfare.')
args = parser.parse_args()
args_defaults = parser.parse_args([])
@ -171,6 +176,13 @@ if args.trust_remote_code:
if args.share:
print("Warning: the gradio \"share link\" feature downloads a proprietary and\nunaudited blob to create a reverse tunnel. This is potentially dangerous.\n")
# Activating the API extension
if args.api or args.public_api:
if args.extensions is None:
args.extensions = ['api']
elif 'api' not in args.extensions:
args.extensions.append('api')
def is_chat():
return args.chat

6
server.py
View File

@ -40,7 +40,7 @@ import yaml
from PIL import Image
import modules.extensions as extensions_module
from modules import api, chat, shared, training, ui
from modules import chat, shared, training, ui
from modules.html_generator import chat_html_wrapper
from modules.LoRA import add_lora_to_model
from modules.models import load_model, load_soft_prompt, unload_model
@ -714,10 +714,6 @@ def create_interface():
if shared.args.extensions is not None:
extensions_module.create_extensions_block()
# Create the invisible elements that define the API
if not shared.is_chat():
api.create_apis()
# chat mode event handlers
if shared.is_chat():
shared.input_params = [shared.gradio[k] for k in ['Chat input', 'interface_state']]