Update app.py

app.py

@@ -64,6 +64,19 @@ def parse_output_llm_with_sources(output):
             parts.append(part)
     content_parts = "".join(parts)
     return content_parts
+
+async def chat(query,history,sources,reports):
+    """taking a query and a message history, use a pipeline (reformulation, retriever, answering) to yield a tuple of:
+    (messages in gradio format, messages in langchain format, source documents)"""
+
+    print(f">> NEW QUESTION : {query}")
+    print(f"history:{history}")
+    #print(f"audience:{audience}")
+    print(f"sources:{sources}")
+    print(f"reports:{reports}")
+    docs_html = ""
+    output_query = ""
+    output_language = "English"
 #process_pdf()
 
 
@@ -265,6 +278,8 @@ with gr.Blocks(title="Audit Q&A", css= "style.css", theme=theme,elem_id = "main-
                 - By using this chatbot, you agree to these terms and acknowledge that you are solely responsible for any reliance on or actions taken based on its responses.
                 - **This is just a prototype and being tested and worked upon, so its not perfect and may sometimes give irrelevant answers**. If you are not satisfied with the answer, please ask a more specific question or report your feedback to help us improve the system.
                 """)
+
+    (textbox.then(chat))
     demo.queue()
 
 demo.launch()