Update app.py

app.py

@@ -40,15 +40,24 @@ output_parser = StrOutputParser()
 chain = chat_template | chat_model | output_parser
 
 from langchain_community.document_loaders import PDFMinerLoader
-dat = PDFMinerLoader("2404.07143.pdf")
-dat_nik =dat.load()
-# Split the document into chunks
-
 from langchain_text_splitters import NLTKTextSplitter
 
-text_splitter = NLTKTextSplitter(chunk_size=500, chunk_overlap=100)
+uploaded_file = st.file_uploader("Choose a pdf file",type = "pdf")
+
+if uploaded_file is not None:
+    pdf_loader = PDFMinerLoader(uploaded_file)
+    dat_nik = pdf_loader.load()
+    text_splitter = NLTKTextSplitter(chunk_size = 500,chunk_overlap = 100)
+    chunks = test_splitter.split_documents(dat_nik)
+    
+# dat = PDFMinerLoader("2404.07143.pdf")
+# dat_nik =dat.load()
+# # Split the document into chunks
+
+
+# text_splitter = NLTKTextSplitter(chunk_size=500, chunk_overlap=100)
 
-chunks = text_splitter.split_documents(dat_nik)
+# chunks = text_splitter.split_documents(dat_nik)
 # Creating Chunks Embedding
 # We are just loading OpenAIEmbeddings
 from langchain_google_genai import GoogleGenerativeAIEmbeddings