adding chatbot with advanced options

app.py

@@ -65,22 +65,19 @@ def document_loader(file_path,api_key,doc_type='pdf',llm='Huggingface',temperatu
     
     print("Document :",document)
     embedding_model = SentenceTransformerEmbeddings(model_name='thenlper/gte-base',model_kwargs={"device": DEVICE})
+    
+    texts = process_documents(documents=document)
+    vector_db = FAISS.from_documents(documents=texts, embedding= embedding_model)
     global qa
-    try:
-        texts = process_documents(documents=document)
-        vector_db = FAISS.from_documents(documents=texts, embedding= embedding_model)
-     
-        qa = RetrievalQA.from_chain_type(llm=chat_application(llm_service=llm,key=api_key,
-                                                              temperature=temperature,
-                                                              max_tokens=max_tokens),
-                                    chain_type='stuff',
-                                    retriever=vector_db.as_retriever(),
+    qa = RetrievalQA.from_chain_type(llm=chat_application(llm_service=llm,key=api_key,
+                                                            temperature=temperature,
+                                                            max_tokens=max_tokens
+                                                        ),
+                                chain_type='stuff',
+                                retriever=vector_db.as_retriever(),
                                 #  chain_type_kwargs=chain_type_kwargs,
                                 return_source_documents=True
-                                )
-    except:
-        return "Error in loading Documents "
-    
+                            )
     return "Document Processing completed ..."