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import mysql.connector | |
from mysql.connector import errorcode | |
from fastapi import FastAPI, status | |
from fastapi.exceptions import HTTPException | |
from backend.utils import DBConnection | |
from langchain.llms import CTransformers | |
from langchain.chains import LLMChain | |
from langchain import PromptTemplate | |
app = FastAPI(title="DocGup-Tea", | |
version="V0.0.1", | |
description="API for automatic code documentation generation!" | |
) | |
from backend import router | |
try: | |
dbconnection = DBConnection() | |
test_conn = DBConnection.get_client().get_server_info() | |
# send prompt codellama-13b-instruct-GGUF model | |
with open("docguptea/utils/prompt.txt",'r') as f: | |
prompt = f.read() | |
print(prompt) | |
prompt = PromptTemplate(template=prompt, | |
input_variables=['query']) | |
llm = CTransformers( | |
model = "docguptea/static/models/codellama-13b-instruct.Q4_K_M.gguf", | |
model_type="llama", | |
max_new_tokens = 1096, | |
temperature = 0.25, | |
repetition_penalty = 1.13, | |
stream=True, | |
gpu_layers = 10, | |
) | |
llmchain = LLMChain( | |
prompt=prompt, | |
llm=llm | |
) | |
app.state.llmchain = llmchain | |
except mysql.connector.Error as err: | |
raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(err)) | |