fix indentation issue

app.py

@@ -22,38 +22,38 @@ class PDFChatbot:
         self.state = SessionState()
 
     def process_pdf(self, pdf_file):
-    try:
-        if self.state.is_db_ready():
-            print("Database is already ready.")
-            return
-
-        file_size_mb = os.path.getsize(pdf_file.name) / (1024 * 1024)
-        if file_size_mb >= 75:
-            print("File size exceeds the 75 MB limit.")
-            gr.Error("File size exceeds the 75 MB limit. Please upload a smaller PDF.")
-            return
-
-        self.state = SessionState()
-        doc = fitz.open(pdf_file.name)
-        text = ""
-        for page in doc:
-            text += page.get_text()
-        doc.close()
-
-        text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
-        docs = text_splitter.create_documents([text])
-
-        embeddings = GoogleGenerativeAIEmbeddings(model=EMBEDDING_MODEL)
-        self.state.db = Chroma.from_documents(
-            documents=docs,
-            embedding=embeddings,
-            persist_directory=self.state.vector_store_path
-        )
-        print("PDF processed successfully! Database is ready.")
-    except Exception as e:
-        if os.path.exists(self.state.vector_store_path):
-            shutil.rmtree(self.state.vector_store_path)
-        print(f"An error occurred: {str(e)}")
+        try:
+            if self.state.is_db_ready():
+                print("Database is already ready.")
+                return
+
+            file_size_mb = os.path.getsize(pdf_file.name) / (1024 * 1024)
+            if file_size_mb >= 75:
+                print("File size exceeds the 75 MB limit.")
+                gr.Error("File size exceeds the 75 MB limit. Please upload a smaller PDF.")
+                return
+
+            self.state = SessionState()
+            doc = fitz.open(pdf_file.name)
+            text = ""
+            for page in doc:
+                text += page.get_text()
+                doc.close()
+
+            text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000, chunk_overlap=200)
+            docs = text_splitter.create_documents([text])
+
+            embeddings = GoogleGenerativeAIEmbeddings(model=EMBEDDING_MODEL)
+            self.state.db = Chroma.from_documents(
+                documents=docs,
+                embedding=embeddings,
+                persist_directory=self.state.vector_store_path
+            )
+            print("PDF processed successfully! Database is ready.")
+        except Exception as e:
+            if os.path.exists(self.state.vector_store_path):
+                shutil.rmtree(self.state.vector_store_path)
+            print(f"An error occurred: {str(e)}")
 
     def chat_with_pdf(self, message, history):
         print("Chat interface called. Checking if database is ready...")