BakLLaVA-1-GGUF / main.py
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feat: enabled the embeddings endpoint
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from llama_cpp.server.app import create_app, Settings
from fastapi.responses import HTMLResponse
import os
app = create_app(
Settings(
n_threads=2, # set to number of cpu cores
model="model/gguf-model.bin",
embedding=True
)
)
# Read the content of index.html once and store it in memory
with open("index.html", "r") as f:
content = f.read()
@app.get("/", response_class=HTMLResponse)
async def read_items():
return content
if __name__ == "__main__":
import uvicorn
uvicorn.run(app,
host=os.environ["HOST"],
port=int(os.environ["PORT"])
)