Update app.py

app.py

@@ -200,31 +200,25 @@ async def chat(query,history,sources,reports,subtype,year):
     # create rag chain
     chat_model = ChatHuggingFace(llm=llm_qa)
     chain = chat_model | StrOutputParser()
-
-    try:
-        async for op in result:
-            
-            ###-------------------------- get answers ---------------------------------------
-            answer_lst = []
-            for question, context in zip(question_lst , context_retrieved_lst):
-                answer = chain.invoke(messages)
-                answer_lst.append(answer)
-            docs_html = []
-            for i, d in enumerate(context_retrieved, 1):
-                docs_html.append(make_html_source(d, i))
-            docs_html = "".join(docs_html)
+    ###-------------------------- get answers ---------------------------------------
+    answer_lst = []
+    for question, context in zip(question_lst , context_retrieved_lst):
+        answer = chain.invoke(messages)
+        answer_lst.append(answer)
+    docs_html = []
+    for i, d in enumerate(context_retrieved, 1):
+        docs_html.append(make_html_source(d, i))
+    docs_html = "".join(docs_html)
+
+    previous_answer = history[-1][1]
+    previous_answer = previous_answer if previous_answer is not None else ""
+    answer_yet = previous_answer + answer_lst[0]
+    answer_yet = parse_output_llm_with_sources(answer_yet)
+    history[-1] = (query,answer_yet)
+    
+    history = [tuple(x) for x in history]
         
-            previous_answer = history[-1][1]
-            previous_answer = previous_answer if previous_answer is not None else ""
-            answer_yet = previous_answer + answer_lst[0]
-            answer_yet = parse_output_llm_with_sources(answer_yet)
-            history[-1] = (query,answer_yet)
-            
-            history = [tuple(x) for x in history]
-                
-            yield history,docs_html
-    except Exception as e:
-        raise gr.Error(f"{e}")
+    yield history,docs_html
 #process_pdf()