mirror of
https://github.com/oobabooga/text-generation-webui.git
synced 2024-11-21 23:57:58 +01:00
New universal API with streaming/blocking endpoints (#990)
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>
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@ -269,6 +269,13 @@ Optionally, you can use the following command-line flags:
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| `--auto-launch` | Open the web UI in the default browser upon launch. |
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| `--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" |
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#### API
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| Flag | Description |
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|---------------------------------------|-------------|
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| `--api` | Enable the API extension. |
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| `--public-api` | Create a public URL for the API using Cloudfare. |
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Out of memory errors? [Check the low VRAM guide](docs/Low-VRAM-guide.md).
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## Presets
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@ -1,39 +1,30 @@
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'''
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Contributed by SagsMug. Thank you SagsMug.
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https://github.com/oobabooga/text-generation-webui/pull/175
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'''
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import asyncio
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import json
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import random
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import string
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import sys
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import websockets
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try:
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import websockets
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except ImportError:
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print("Websockets package not found. Make sure it's installed.")
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# Gradio changes this index from time to time. To rediscover it, set VISIBLE = False in
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# modules/api.py and use the dev tools to inspect the request made after clicking on the
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# button called "Run" at the bottom of the UI
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GRADIO_FN = 34
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def random_hash():
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letters = string.ascii_lowercase + string.digits
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return ''.join(random.choice(letters) for i in range(9))
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# For local streaming, the websockets are hosted without ssl - ws://
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HOST = 'localhost:5005'
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URI = f'ws://{HOST}/api/v1/stream'
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# For reverse-proxied streaming, the remote will likely host with ssl - wss://
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# URI = 'wss://your-uri-here.trycloudflare.com/api/v1/stream'
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async def run(context):
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server = "127.0.0.1"
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params = {
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'max_new_tokens': 200,
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# Note: the selected defaults change from time to time.
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request = {
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'prompt': context,
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'max_new_tokens': 250,
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'do_sample': True,
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'temperature': 0.72,
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'top_p': 0.73,
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'temperature': 1.3,
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'top_p': 0.1,
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'typical_p': 1,
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'repetition_penalty': 1.1,
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'encoder_repetition_penalty': 1.0,
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'top_k': 0,
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'repetition_penalty': 1.18,
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'top_k': 40,
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'min_length': 0,
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'no_repeat_ngram_size': 0,
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'num_beams': 1,
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@ -45,48 +36,31 @@ async def run(context):
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'truncation_length': 2048,
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'ban_eos_token': False,
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'skip_special_tokens': True,
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'stopping_strings': [],
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'stopping_strings': []
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}
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payload = json.dumps([context, params])
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session = random_hash()
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async with websockets.connect(f"ws://{server}:7860/queue/join") as websocket:
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while content := json.loads(await websocket.recv()):
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# Python3.10 syntax, replace with if elif on older
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match content["msg"]:
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case "send_hash":
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await websocket.send(json.dumps({
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"session_hash": session,
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"fn_index": GRADIO_FN
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}))
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case "estimation":
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pass
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case "send_data":
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await websocket.send(json.dumps({
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"session_hash": session,
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"fn_index": GRADIO_FN,
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"data": [
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payload
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]
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}))
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case "process_starts":
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pass
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case "process_generating" | "process_completed":
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yield content["output"]["data"][0]
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# You can search for your desired end indicator and
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# stop generation by closing the websocket here
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if (content["msg"] == "process_completed"):
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break
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async with websockets.connect(URI) as websocket:
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await websocket.send(json.dumps(request))
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prompt = "What I would like to say is the following: "
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yield context # Remove this if you just want to see the reply
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while True:
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incoming_data = await websocket.recv()
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incoming_data = json.loads(incoming_data)
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match incoming_data['event']:
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case 'text_stream':
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yield incoming_data['text']
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case 'stream_end':
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return
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async def get_result():
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async def print_response_stream(prompt):
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async for response in run(prompt):
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# Print intermediate steps
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print(response)
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print(response, end='')
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sys.stdout.flush() # If we don't flush, we won't see tokens in realtime.
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# Print final result
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print(response)
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asyncio.run(get_result())
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if __name__ == '__main__':
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prompt = "In order to make homemade bread, follow these steps:\n1)"
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asyncio.run(print_response_stream(prompt))
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@ -1,57 +1,42 @@
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'''
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This is an example on how to use the API for oobabooga/text-generation-webui.
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Make sure to start the web UI with the following flags:
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python server.py --model MODEL --listen --no-stream
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Optionally, you can also add the --share flag to generate a public gradio URL,
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allowing you to use the API remotely.
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'''
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import json
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import requests
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# Server address
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server = "127.0.0.1"
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# For local streaming, the websockets are hosted without ssl - http://
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HOST = 'localhost:5000'
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URI = f'http://{HOST}/api/v1/generate'
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# Generation parameters
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# Reference: https://huggingface.co/docs/transformers/main_classes/text_generation#transformers.GenerationConfig
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params = {
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'max_new_tokens': 200,
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'do_sample': True,
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'temperature': 0.72,
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'top_p': 0.73,
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'typical_p': 1,
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'repetition_penalty': 1.1,
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'encoder_repetition_penalty': 1.0,
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'top_k': 0,
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'min_length': 0,
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'no_repeat_ngram_size': 0,
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'num_beams': 1,
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'penalty_alpha': 0,
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'length_penalty': 1,
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'early_stopping': False,
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'seed': -1,
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'add_bos_token': True,
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'truncation_length': 2048,
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'ban_eos_token': False,
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'skip_special_tokens': True,
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'stopping_strings': [],
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}
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# For reverse-proxied streaming, the remote will likely host with ssl - https://
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# URI = 'https://your-uri-here.trycloudflare.com/api/v1/generate'
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# Input prompt
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prompt = "What I would like to say is the following: "
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def run(context):
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request = {
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'prompt': prompt,
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'max_new_tokens': 250,
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'do_sample': True,
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'temperature': 1.3,
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'top_p': 0.1,
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'typical_p': 1,
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'repetition_penalty': 1.18,
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'top_k': 40,
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'min_length': 0,
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'no_repeat_ngram_size': 0,
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'num_beams': 1,
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'penalty_alpha': 0,
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'length_penalty': 1,
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'early_stopping': False,
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'seed': -1,
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'add_bos_token': True,
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'truncation_length': 2048,
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'ban_eos_token': False,
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'skip_special_tokens': True,
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'stopping_strings': []
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}
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payload = json.dumps([prompt, params])
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response = requests.post(URI, json=request)
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response = requests.post(f"http://{server}:7860/run/textgen", json={
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"data": [
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payload
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]
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}).json()
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if response.status_code == 200:
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result = response.json()['results'][0]['text']
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print(prompt + result)
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reply = response["data"][0]
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print(reply)
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if __name__ == '__main__':
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prompt = "In order to make homemade bread, follow these steps:\n1)"
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run(prompt)
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90
extensions/api/blocking_api.py
Normal file
90
extensions/api/blocking_api.py
Normal file
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import json
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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from threading import Thread
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from modules import shared
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from modules.text_generation import encode, generate_reply
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from extensions.api.util import build_parameters, try_start_cloudflared
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class Handler(BaseHTTPRequestHandler):
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def do_GET(self):
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if self.path == '/api/v1/model':
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self.send_response(200)
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self.end_headers()
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response = json.dumps({
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'result': shared.model_name
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})
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self.wfile.write(response.encode('utf-8'))
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else:
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self.send_error(404)
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def do_POST(self):
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content_length = int(self.headers['Content-Length'])
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body = json.loads(self.rfile.read(content_length).decode('utf-8'))
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if self.path == '/api/v1/generate':
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self.send_response(200)
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self.send_header('Content-Type', 'application/json')
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self.end_headers()
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prompt = body['prompt']
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generate_params = build_parameters(body)
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stopping_strings = generate_params.pop('stopping_strings')
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generator = generate_reply(
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prompt, generate_params, stopping_strings=stopping_strings)
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answer = ''
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for a in generator:
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if isinstance(a, str):
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answer = a
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else:
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answer = a[0]
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response = json.dumps({
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'results': [{
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'text': answer if shared.is_chat() else answer[len(prompt):]
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}]
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})
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self.wfile.write(response.encode('utf-8'))
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elif self.path == '/api/v1/token-count':
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self.send_response(200)
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self.send_header('Content-Type', 'application/json')
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self.end_headers()
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tokens = encode(body['prompt'])[0]
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response = json.dumps({
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'results': [{
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'tokens': len(tokens)
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}]
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})
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self.wfile.write(response.encode('utf-8'))
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else:
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self.send_error(404)
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def _run_server(port: int, share: bool=False):
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address = '0.0.0.0' if shared.args.listen else '127.0.0.1'
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server = ThreadingHTTPServer((address, port), Handler)
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def on_start(public_url: str):
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print(f'Starting non-streaming server at public url {public_url}/api')
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if share:
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try:
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try_start_cloudflared(port, max_attempts=3, on_start=on_start)
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except Exception:
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pass
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else:
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print(
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f'Starting API at http://{address}:{port}/api')
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server.serve_forever()
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def start_server(port: int, share: bool = False):
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Thread(target=_run_server, args=[port, share], daemon=True).start()
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flask_cloudflared==0.0.12
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flask_cloudflared==0.0.12
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websockets==11.0.2
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import json
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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from threading import Thread
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import extensions.api.blocking_api as blocking_api
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import extensions.api.streaming_api as streaming_api
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from modules import shared
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from modules.text_generation import encode, generate_reply
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params = {
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'port': 5000,
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}
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class Handler(BaseHTTPRequestHandler):
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def do_GET(self):
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if self.path == '/api/v1/model':
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self.send_response(200)
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self.end_headers()
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response = json.dumps({
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'result': shared.model_name
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})
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self.wfile.write(response.encode('utf-8'))
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else:
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self.send_error(404)
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def do_POST(self):
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content_length = int(self.headers['Content-Length'])
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body = json.loads(self.rfile.read(content_length).decode('utf-8'))
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if self.path == '/api/v1/generate':
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self.send_response(200)
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self.send_header('Content-Type', 'application/json')
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self.end_headers()
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prompt = body['prompt']
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prompt_lines = [k.strip() for k in prompt.split('\n')]
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max_context = body.get('max_context_length', 2048)
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while len(prompt_lines) >= 0 and len(encode('\n'.join(prompt_lines))) > max_context:
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prompt_lines.pop(0)
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prompt = '\n'.join(prompt_lines)
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generate_params = {
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'max_new_tokens': int(body.get('max_length', 200)),
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'do_sample': bool(body.get('do_sample', True)),
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'temperature': float(body.get('temperature', 0.5)),
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'top_p': float(body.get('top_p', 1)),
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'typical_p': float(body.get('typical', 1)),
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'repetition_penalty': float(body.get('rep_pen', 1.1)),
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'encoder_repetition_penalty': 1,
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'top_k': int(body.get('top_k', 0)),
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'min_length': int(body.get('min_length', 0)),
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'no_repeat_ngram_size': int(body.get('no_repeat_ngram_size', 0)),
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'num_beams': int(body.get('num_beams', 1)),
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'penalty_alpha': float(body.get('penalty_alpha', 0)),
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'length_penalty': float(body.get('length_penalty', 1)),
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'early_stopping': bool(body.get('early_stopping', False)),
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'seed': int(body.get('seed', -1)),
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'add_bos_token': int(body.get('add_bos_token', True)),
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'truncation_length': int(body.get('truncation_length', 2048)),
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'ban_eos_token': bool(body.get('ban_eos_token', False)),
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'skip_special_tokens': bool(body.get('skip_special_tokens', True)),
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'custom_stopping_strings': '', # leave this blank
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'stopping_strings': body.get('stopping_strings', []),
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}
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stopping_strings = generate_params.pop('stopping_strings')
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generator = generate_reply(prompt, generate_params, stopping_strings=stopping_strings)
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answer = ''
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for a in generator:
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if isinstance(a, str):
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answer = a
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else:
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answer = a[0]
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response = json.dumps({
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'results': [{
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'text': answer if shared.is_chat() else answer[len(prompt):]
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}]
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})
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self.wfile.write(response.encode('utf-8'))
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elif self.path == '/api/v1/token-count':
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# Not compatible with KoboldAI api
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self.send_response(200)
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self.send_header('Content-Type', 'application/json')
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self.end_headers()
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tokens = encode(body['prompt'])[0]
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response = json.dumps({
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'results': [{
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'tokens': len(tokens)
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}]
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})
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self.wfile.write(response.encode('utf-8'))
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else:
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self.send_error(404)
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def run_server():
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server_addr = ('0.0.0.0' if shared.args.listen else '127.0.0.1', params['port'])
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server = ThreadingHTTPServer(server_addr, Handler)
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if shared.args.share:
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try:
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from flask_cloudflared import _run_cloudflared
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public_url = _run_cloudflared(params['port'], params['port'] + 1)
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print(f'Starting KoboldAI compatible api at {public_url}/api')
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except ImportError:
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print('You should install flask_cloudflared manually')
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else:
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print(f'Starting KoboldAI compatible api at http://{server_addr[0]}:{server_addr[1]}/api')
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server.serve_forever()
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BLOCKING_PORT = 5000
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STREAMING_PORT = 5005
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def setup():
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Thread(target=run_server, daemon=True).start()
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blocking_api.start_server(BLOCKING_PORT, share=shared.args.public_api)
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streaming_api.start_server(STREAMING_PORT, share=shared.args.public_api)
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|
80
extensions/api/streaming_api.py
Normal file
80
extensions/api/streaming_api.py
Normal file
@ -0,0 +1,80 @@
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import json
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import asyncio
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from websockets.server import serve
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from threading import Thread
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from modules import shared
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from modules.text_generation import generate_reply
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from extensions.api.util import build_parameters, try_start_cloudflared
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PATH = '/api/v1/stream'
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|
||||
|
||||
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
69
extensions/api/util.py
Normal file
@ -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.')
|
@ -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')
|
@ -14,7 +14,8 @@ def load_extensions():
|
||||
global state, setup_called
|
||||
for i, name in enumerate(shared.args.extensions):
|
||||
if name in available_extensions:
|
||||
print(f'Loading the extension "{name}"... ', end='')
|
||||
if name != 'api':
|
||||
print(f'Loading the extension "{name}"... ', end='')
|
||||
try:
|
||||
exec(f"import extensions.{name}.script")
|
||||
extension = getattr(extensions, name).script
|
||||
@ -22,9 +23,11 @@ def load_extensions():
|
||||
setup_called.add(extension)
|
||||
extension.setup()
|
||||
state[name] = [True, i]
|
||||
print('Ok.')
|
||||
if name != 'api':
|
||||
print('Ok.')
|
||||
except:
|
||||
print('Fail.')
|
||||
if name != 'api':
|
||||
print('Fail.')
|
||||
traceback.print_exc()
|
||||
|
||||
|
||||
|
@ -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
|
||||
|
@ -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']]
|
||||
|
Loading…
Reference in New Issue
Block a user