Update app.py

app.py

@@ -16,9 +16,7 @@ embeddings = HuggingFaceEmbeddings(model_name="sentence-transformers/all-mpnet-b
 vector_store = None
 retriever = None
 
-
 def extract_text_from_pdf(filepath):
-    # Use unstructured to read text from the PDF
     loader = UnstructuredLoader([filepath])
     pages = []
     for doc in loader.lazy_load():
@@ -26,7 +24,6 @@ def extract_text_from_pdf(filepath):
     return "\n".join([page.text for page in pages])
 
 def extract_tables_from_pdf(filepath):
-    # Use camelot to read tables from the PDF
     tables = camelot.read_pdf(filepath, pages='1-end')
     return [table.df.to_string(index=False) for table in tables]
 
@@ -71,7 +68,9 @@ def upload_file(filepath):
     # Update documents in the vector store
     update_documents(text)
     
-    return [gr.UploadButton(visible=False), gr.DownloadButton(label=f"Download {Path(filepath).name}", value=filepath, visible=True), f"{len(tables)} tables extracted."]
+    return [gr.UploadButton(visible=False), 
+            gr.DownloadButton(label=f"Download {Path(filepath).name}", value=filepath, visible=True), 
+            f"{len(tables)} tables extracted."]  # Change to a Textbox below
 
 # Gradio interface setup
 demo = gr.Blocks()
@@ -81,7 +80,11 @@ with demo:
         u = gr.UploadButton("Upload a file", file_count="single")
         d = gr.DownloadButton("Download the file", visible=False)
 
-    u.upload(upload_file, u, [u, d, "status"])
+    # Create a Textbox for the status message
+    status_output = gr.Textbox(label="Status", visible=True)
+
+    # Use the proper output components in the upload method
+    u.upload(upload_file, u, [u, d, status_output])
     
     with gr.Row():
         chat = gr.ChatInterface(