Spaces:
Build error
Build error
Update app.py
Browse files
app.py
CHANGED
|
@@ -23,6 +23,8 @@ import shutil
|
|
| 23 |
import os
|
| 24 |
from fastapi import FastAPI, File, UploadFile
|
| 25 |
|
|
|
|
|
|
|
| 26 |
app = FastAPI()
|
| 27 |
|
| 28 |
@app.get("/")
|
|
@@ -43,7 +45,7 @@ def retrieve(query_text):
|
|
| 43 |
if vector_index is None:
|
| 44 |
return "Vector index not found. Please upload a file first."
|
| 45 |
else:
|
| 46 |
-
retriever = vector_index.as_retriever(similarity_top_k=3)
|
| 47 |
result = retriever.retrieve(query_text)
|
| 48 |
if result:
|
| 49 |
return "\n\n".join([node.node.text for node in result])
|
|
@@ -51,7 +53,6 @@ def retrieve(query_text):
|
|
| 51 |
|
| 52 |
tavily_search = TavilySearchResults(max_results=4)
|
| 53 |
|
| 54 |
-
vector_index = None
|
| 55 |
|
| 56 |
@app.post("/uploadpdfs")
|
| 57 |
async def upload_file(file: UploadFile = File(...)):
|
|
@@ -74,10 +75,10 @@ async def upload_file(file: UploadFile = File(...)):
|
|
| 74 |
# Create or update vector index
|
| 75 |
embed_model = HuggingFaceEmbedding(model_name="WhereIsAI/UAE-Large-V1")
|
| 76 |
if vector_index is None:
|
| 77 |
-
vector_index = VectorStoreIndex(nodes, embed_model=embed_model)
|
| 78 |
message = "New vector index created and file stored."
|
| 79 |
else:
|
| 80 |
-
vector_index.insert_nodes(nodes)
|
| 81 |
message = "File stored and vector index updated."
|
| 82 |
|
| 83 |
return {"message": message, "filename": file.filename}
|
|
|
|
| 23 |
import os
|
| 24 |
from fastapi import FastAPI, File, UploadFile
|
| 25 |
|
| 26 |
+
vector_index = None
|
| 27 |
+
|
| 28 |
app = FastAPI()
|
| 29 |
|
| 30 |
@app.get("/")
|
|
|
|
| 45 |
if vector_index is None:
|
| 46 |
return "Vector index not found. Please upload a file first."
|
| 47 |
else:
|
| 48 |
+
retriever = app.state.vector_index.as_retriever(similarity_top_k=3)
|
| 49 |
result = retriever.retrieve(query_text)
|
| 50 |
if result:
|
| 51 |
return "\n\n".join([node.node.text for node in result])
|
|
|
|
| 53 |
|
| 54 |
tavily_search = TavilySearchResults(max_results=4)
|
| 55 |
|
|
|
|
| 56 |
|
| 57 |
@app.post("/uploadpdfs")
|
| 58 |
async def upload_file(file: UploadFile = File(...)):
|
|
|
|
| 75 |
# Create or update vector index
|
| 76 |
embed_model = HuggingFaceEmbedding(model_name="WhereIsAI/UAE-Large-V1")
|
| 77 |
if vector_index is None:
|
| 78 |
+
app.state.vector_index = VectorStoreIndex(nodes, embed_model=embed_model)
|
| 79 |
message = "New vector index created and file stored."
|
| 80 |
else:
|
| 81 |
+
app.state.vector_index.insert_nodes(nodes)
|
| 82 |
message = "File stored and vector index updated."
|
| 83 |
|
| 84 |
return {"message": message, "filename": file.filename}
|