Spaces:
Sleeping
Sleeping
Update main.py
Browse files
main.py
CHANGED
@@ -2,6 +2,7 @@
|
|
2 |
from fastapi import FastAPI, File, UploadFile
|
3 |
import os
|
4 |
import shutil
|
|
|
5 |
import tempfile
|
6 |
from langchain_community.document_loaders import PyMuPDFLoader
|
7 |
from langchain_community.llms import CTransformers
|
@@ -37,12 +38,13 @@ async def PromptLLM(file: UploadFile = File(...)):
|
|
37 |
db.save_local(DB_FAISS_PATH)
|
38 |
|
39 |
# Load the language model
|
40 |
-
|
|
|
41 |
|
42 |
# Create a conversational chain
|
43 |
chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=db.as_retriever())
|
44 |
|
45 |
-
result = chain({"question":
|
46 |
return result['answer']
|
47 |
|
48 |
|
|
|
2 |
from fastapi import FastAPI, File, UploadFile
|
3 |
import os
|
4 |
import shutil
|
5 |
+
from LoadLLM import Loadllm
|
6 |
import tempfile
|
7 |
from langchain_community.document_loaders import PyMuPDFLoader
|
8 |
from langchain_community.llms import CTransformers
|
|
|
38 |
db.save_local(DB_FAISS_PATH)
|
39 |
|
40 |
# Load the language model
|
41 |
+
# Load the language model
|
42 |
+
llm = Loadllm.load_llm()
|
43 |
|
44 |
# Create a conversational chain
|
45 |
chain = ConversationalRetrievalChain.from_llm(llm=llm, retriever=db.as_retriever())
|
46 |
|
47 |
+
result = chain({"question": query, "chat_history": ''})
|
48 |
return result['answer']
|
49 |
|
50 |
|