Update app.py

app.py

@@ -15,10 +15,8 @@ retrieval_chain = None
 def process_pdf(file):
     global vectorstore, retrieval_chain
 
-    # Save uploaded PDF temporarily
-    with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp:
-        tmp.write(file.read())
-        tmp_path = tmp.name
+    # `file` is a gradio.NamedString → use file.name to get the path
+    tmp_path = file.name  
 
     # Load PDF
     loader = PyPDFLoader(tmp_path)
@@ -32,7 +30,7 @@ def process_pdf(file):
     embeddings = HuggingFaceEmbeddings()
     vectorstore = FAISS.from_documents(docs, embeddings)
 
-    # Setup retrieval chain with HuggingFace inference client
+    # Setup retrieval chain
     retriever = vectorstore.as_retriever()
     retriever.search_kwargs["k"] = 4