Enable chat mode for bot interactions and ensure bot responses are consistently converted to strings.

streamlit_chatbot.py

@@ -401,7 +401,7 @@ class Bot(BaseClass):
                 DON'T come up with your own tools, only use the ones provided.
                 """,
                 # system_message='Use one of the provided tools to help the answering bot to answer the user. Do not answer directly. Use the "tool_calls" field in your answer.',
-                chat=False,
+                chat=True,
                 model="tools",
             )
             if len(tools_names) > 1 and "conversational_response_tool" in tools_names:
@@ -996,7 +996,7 @@ class StreamlitBot(Bot):
 
                     else:
                         bot_response = self.write_normal(response_text)
-                    bot_responses.append(bot_response)
+                    bot_responses.append(str(bot_response))
 
                     if chunks:
                         sources = "###### Sources:\n"
@@ -1010,12 +1010,12 @@ class StreamlitBot(Bot):
                             sources += f"[{group['article_number']}] **{title}** :gray[*{j}* ({d})]  \n"
                         st.markdown(sources)
                         bot_response += f"\n\n{sources}"
-                    bot_responses.append(bot_response)
+                    bot_responses.append(str(bot_response))
 
                 elif function_name == "fetch_notes_tool":
                     notes = getattr(self, function_name)()
                     response_text = self.generate_from_notes(user_input, notes)
-                    bot_responses.append(st.write_stream(response_text).strip('"'))
+                    bot_responses.append(str(st.write_stream(response_text).strip('"')))
 
                 elif function_name == "conversational_response_tool":
                     response_text = getattr(self, function_name)(user_input)
@@ -1066,7 +1066,7 @@ class StreamlitBot(Bot):
                 for mode, text in chunks_iter:
                     yield (mode, text)
 
-            bot_response = st.write_stream(full_gen()).strip('"')
+            bot_response = st.write_stream(full_gen())
 
     def write_normal(self, response_text):
         chunks_iter = iter(response_text)  # convert generator to iterator
@@ -1079,7 +1079,7 @@ class StreamlitBot(Bot):
                 else:
                     yield chunk
 
-        bot_response = st.write_stream(full_gen()).strip('"')
+        bot_response = st.write_stream(full_gen())
         return bot_response
 
     def generate_from_notes(self, user_input, notes):
@@ -1281,7 +1281,7 @@ class HostBot(StreamlitBot):
             Choose one or many tools to use in order to assist the host in asking relevant questions. 
             Often "conversational_response_tool" is enough, but sometimes project notes are needed. 
             Make sure to read the description of the tools carefully!""",
-            chat=False,
+            chat=True,
             model="tools",
         )