Spaces:
Build error
Build error
File size: 4,268 Bytes
9eae9de e0b5928 9eae9de 986c8f3 9eae9de e0b5928 9eae9de |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 |
import json
import markdown
from typing import Callable, List, Dict, Any, Generator
from functools import partial
import fastapi
import uvicorn
from fastapi import HTTPException, Depends, Request
from fastapi.responses import HTMLResponse
from fastapi.middleware.cors import CORSMiddleware
from sse_starlette.sse import EventSourceResponse
from anyio import create_memory_object_stream
from anyio.to_thread import run_sync
from ctransformers import AutoModelForCausalLM
from pydantic import BaseModel
llm = AutoModelForCausalLM.from_pretrained("TheBloke/WizardCoder-15B-1.0-GGML",
model_file="WizardCoder-15B-1.0.ggmlv3.q4_0.bin",
model_type="starcoder",
threads=8)
app = fastapi.FastAPI(title="🪄WizardCoder💫")
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
@app.get("/")
async def index():
html_content = """
<html>
<head>
</head>
<body style="font-family:system-ui">
<h2><a href="https://huggingface.co/TheBloke/WizardCoder-15B-1.0-GGML">wizardcoder-ggml</a></h2>
<h2><a href="https://nerddisco-wizardcoder-15b-1-0-ggmlv3-q4-0.hf.space/docs">FastAPI Docs</a></h2>
</body>
</html>
"""
return HTMLResponse(content=html_content, status_code=200)
class ChatCompletionRequestV0(BaseModel):
prompt: str
class Message(BaseModel):
role: str
content: str
class ChatCompletionRequest(BaseModel):
messages: List[Message]
max_tokens: int = 1024
@app.post("/v1/completions")
async def completion(request: ChatCompletionRequestV0, response_mode=None):
response = llm(request.prompt)
return response
async def generate_response(chat_chunks, llm):
for chat_chunk in chat_chunks:
response = {
'choices': [
{
'message': {
'role': 'system',
'content': llm.detokenize(chat_chunk)
},
'finish_reason': 'stop' if llm.is_eos_token(chat_chunk) else 'unknown'
}
]
}
yield dict(data=json.dumps(response))
yield dict(data="[DONE]")
@app.post("/v1/chat/completions")
async def chat(request: ChatCompletionRequest):
combined_messages = ' '.join([message.content for message in request.messages])
tokens = llm.tokenize(combined_messages)
try:
chat_chunks = llm.generate(tokens)
except Exception as e:
raise HTTPException(status_code=500, detail=str(e))
return EventSourceResponse(generate_response(chat_chunks, llm))
async def stream_response(tokens, llm):
try:
iterator: Generator = llm.generate(tokens)
for chat_chunk in iterator:
response = {
'choices': [
{
'message': {
'role': 'system',
'content': llm.detokenize(chat_chunk)
},
'finish_reason': 'stop' if llm.is_eos_token(chat_chunk) else 'unknown'
}
]
}
yield dict(data=json.dumps(response))
yield dict(data="[DONE]")
except Exception as e:
print(f"Exception in event publisher: {str(e)}")
@app.post("/v2/chat/completions")
async def chatV2_endpoint(request: Request, body: ChatCompletionRequest):
combined_messages = ' '.join([message.content for message in body.messages])
tokens = llm.tokenize(combined_messages)
return EventSourceResponse(stream_response(tokens, llm))
@app.post("/v0/chat/completions")
async def chat(request: ChatCompletionRequestV0, response_mode=None):
tokens = llm.tokenize(request.prompt)
async def server_sent_events(chat_chunks, llm):
for chat_chunk in llm.generate(chat_chunks):
yield dict(data=json.dumps(llm.detokenize(chat_chunk)))
yield dict(data="[DONE]")
return EventSourceResponse(server_sent_events(tokens, llm))
if __name__ == "__main__":
uvicorn.run(app, host="0.0.0.0", port=8000)
|