Update app.py

app.py

@@ -14,7 +14,8 @@ embeddings = HuggingFaceHubEmbeddings()
 from langchain.vectorstores import Chroma
 
 from langchain.chains import RetrievalQA
-
+def loading_pdf():
+    return "Loading..."
 def pdf_changes(pdf_doc):
     loader = OnlinePDFLoader(pdf_doc.name)
     documents = loader.load()
@@ -61,13 +62,13 @@ with gr.Blocks(css=css) as demo:
         with gr.Column():
             pdf_doc = gr.File(label="Load a pdf", file_types=['.pdf'], type="file")
             with gr.Row():
-                langchain_status = gr.Textbox(label=None, placeholder="Status", interactive=False)
+                langchain_status = gr.Textbox(label="Status", placeholder="", interactive=False)
                 load_pdf = gr.Button("Load pdf to langchain")
         
         chatbot = gr.Chatbot([], elem_id="chatbot").style(height=350)
         with gr.Row():
             question = gr.Textbox(lable=None, placeholder="Type your question and hit Enter ")
-        
+    load_pdf.click(loading_pdf, None, langchain_status, queue=False)    
     load_pdf.click(pdf_changes, pdf_doc, langchain_status, queue=False)
     question.submit(add_text, [chatbot, question], [chatbot, question]).then(
         bot, chatbot, chatbot