| | 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.q5_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://matthoffner-wizardcoder-ggml.hf.space/docs">FastAPI Docs</a></h2> |
| | <h2><a href="https://matthoffner-monacopilot.hf.space">monacopilot</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 = 250 |
| |
|
| | @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) |
| |
|
