additional print statements

app.py

@@ -34,14 +34,21 @@ class PDFChatbot:
                 return
 
             self.state = SessionState()
-            doc = fitz.open(pdf_file.name)
-            text = ""
-            for page in doc:
-                text += page.get_text()
+            print("Opening PDF file...")
+            try:
+                doc = fitz.open(pdf_file.name)
+                text = ""
+                for page in doc:
+                    text += page.get_text()
                 doc.close()
+            except Exception as e:
+                print(f"Error processing PDF document: {str(e)}")
+                return
 
+            print("PDF file opened successfully. Splitting text into chunks...")
             text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
             docs = text_splitter.create_documents([text])
+            print("Text split into chunks successfully.")
 
             embeddings = GoogleGenerativeAIEmbeddings(model=EMBEDDING_MODEL)
             self.state.db = Chroma.from_documents(
@@ -55,9 +62,12 @@ class PDFChatbot:
                 shutil.rmtree(self.state.vector_store_path)
             print(f"An error occurred: {str(e)}")
 
+    def is_db_ready(self):
+        return self.state.db is not None
+
     def chat_with_pdf(self, message, history):
         print("Chat interface called. Checking if database is ready...")
-        if not self.state.is_db_ready():
+        if not self.is_db_ready():
             print("Database is not ready.")
             yield "Error: Database not ready."
             return
@@ -85,12 +95,11 @@ class PDFChatbot:
             | StrOutputParser()
         )
 
-        response = rag_chain.invoke(message)
+        response = rag_chain.invoke(
+            message
+        )
         yield response
 
-    def is_db_ready(self):
-        return self.state.db is not None
-
 class SessionState:
     def __init__(self):
         self.session_id = str(uuid.uuid4())