Spaces:
Running
Running
update UI
Browse files
agent.py
CHANGED
@@ -81,7 +81,7 @@ def create_assistant_tools(cfg):
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[ask_vehicles, ask_policies]
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)
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-
def initialize_agent(_cfg,
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electric_vehicle_bot_instructions = """
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- You are a helpful research assistant, with expertise in electric vehicles, in conversation with a user.
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- For a query with multiple sub-questions, break down the query into the sub-questions,
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@@ -94,7 +94,7 @@ def initialize_agent(_cfg, update_func=None):
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tools=create_assistant_tools(_cfg),
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topic="Electric vehicles in the United States",
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custom_instructions=electric_vehicle_bot_instructions,
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-
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)
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agent.report()
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return agent
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[ask_vehicles, ask_policies]
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)
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+
def initialize_agent(_cfg, agent_progress_callback=None):
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electric_vehicle_bot_instructions = """
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- You are a helpful research assistant, with expertise in electric vehicles, in conversation with a user.
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- For a query with multiple sub-questions, break down the query into the sub-questions,
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tools=create_assistant_tools(_cfg),
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topic="Electric vehicles in the United States",
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custom_instructions=electric_vehicle_bot_instructions,
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agent_progress_callback=agent_progress_callback
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)
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agent.report()
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return agent
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app.py
CHANGED
@@ -14,9 +14,6 @@ from datasets import load_dataset
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if 'device_id' not in st.session_state:
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st.session_state.device_id = str(uuid.uuid4())
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-
if "feedback_key" not in st.session_state:
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st.session_state.feedback_key = 0
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-
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def setup_db():
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db_path = 'ev_database.db'
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conn = sqlite3.connect(db_path)
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if 'device_id' not in st.session_state:
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st.session_state.device_id = str(uuid.uuid4())
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def setup_db():
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db_path = 'ev_database.db'
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conn = sqlite3.connect(db_path)
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requirements.txt
CHANGED
@@ -1,10 +1,10 @@
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omegaconf==2.3.0
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python-dotenv==1.0.1
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streamlit==1.
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streamlit_pills==0.3.0
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streamlit-feedback==0.1.3
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langdetect==1.0.9
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langcodes==3.4.0
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datasets==2.19.2
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uuid==1.30
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vectara-agentic==0.1.
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omegaconf==2.3.0
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python-dotenv==1.0.1
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streamlit==1.39.0
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streamlit_pills==0.3.0
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streamlit-feedback==0.1.3
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langdetect==1.0.9
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langcodes==3.4.0
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datasets==2.19.2
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uuid==1.30
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vectara-agentic==0.1.18
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st_app.py
CHANGED
@@ -1,5 +1,6 @@
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from PIL import Image
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import sys
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import streamlit as st
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from streamlit_pills import pills
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@@ -12,9 +13,6 @@ from agent import initialize_agent, get_agent_config
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initial_prompt = "How can I help you today?"
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def toggle_logs():
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st.session_state.show_logs = not st.session_state.show_logs
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-
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def show_example_questions():
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if len(st.session_state.example_messages) > 0 and st.session_state.first_turn:
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selected_example = pills("Queries to Try:", st.session_state.example_messages, index=None)
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@@ -24,23 +22,41 @@ def show_example_questions():
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return True
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return False
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def
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-
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async def launch_bot():
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def reset():
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st.session_state.messages = [{"role": "assistant", "content": initial_prompt, "avatar": "π¦"}]
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st.session_state.thinking_message = "Agent at work..."
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st.session_state.log_messages = []
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st.session_state.prompt = None
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st.session_state.ex_prompt = None
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st.session_state.first_turn = True
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st.session_state.logs_enabled = False
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st.session_state.show_logs = False
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if 'agent' not in st.session_state:
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st.session_state.agent = initialize_agent(cfg,
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else:
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st.session_state.agent.clear_memory()
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@@ -67,15 +83,9 @@ async def launch_bot():
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if st.button('Start Over'):
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reset()
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st.rerun()
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with bc2:
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if st.
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st.session_state.logs_enabled = False
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st.rerun()
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else:
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if st.button('Enable Logs', key='enable_logs'):
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st.session_state.logs_enabled = True
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st.rerun()
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st.divider()
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st.markdown(
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@@ -106,7 +116,7 @@ async def launch_bot():
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prompt = st.chat_input()
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if prompt:
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st.session_state.messages.append({"role": "user", "content": prompt, "avatar": 'π§βπ»'})
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st.session_state.prompt = prompt
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st.session_state.log_messages = []
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st.session_state.show_logs = False
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with st.chat_message("user", avatar='π§βπ»'):
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@@ -117,9 +127,9 @@ async def launch_bot():
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# Generate a new response if last message is not from assistant
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if st.session_state.prompt:
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with st.chat_message("assistant", avatar='π€'):
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-
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message = {"role": "assistant", "content": res, "avatar": 'π€'}
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st.session_state.messages.append(message)
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st.markdown(res)
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@@ -137,27 +147,14 @@ async def launch_bot():
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# Record user feedback
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if (st.session_state.messages[-1]["role"] == "assistant") & (st.session_state.messages[-1]["content"] != initial_prompt):
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if
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-
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)
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log_placeholder = st.empty()
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with log_placeholder.container():
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if st.session_state.logs_enabled: # Show logs button only if log toggle is enabled
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if st.session_state.show_logs:
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st.button("Hide Logs", on_click=toggle_logs)
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for msg in st.session_state.log_messages:
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if len(msg) > 100: # Use text_area for longer messages
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st.text_area(label="Log", value=msg, height=100, disabled=True)
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else:
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st.text(msg)
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else:
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if len(st.session_state.log_messages) > 0:
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st.button("Show Logs", on_click=toggle_logs)
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-
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sys.stdout.flush()
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from PIL import Image
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import sys
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import re
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import streamlit as st
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from streamlit_pills import pills
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initial_prompt = "How can I help you today?"
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def show_example_questions():
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if len(st.session_state.example_messages) > 0 and st.session_state.first_turn:
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selected_example = pills("Queries to Try:", st.session_state.example_messages, index=None)
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return True
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return False
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def agent_progress_callback(status_type: AgentStatusType, msg: str):
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output = f'<span style="color:blue;">{status_type.value}</span>: {msg}'
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st.session_state.log_messages.append(output)
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if 'status' in st.session_state:
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latest_message = ''
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if status_type == AgentStatusType.TOOL_CALL:
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match = re.search(r"'([^']*)'", msg)
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tool_name = match.group(1) if match else "Unknown tool"
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latest_message = f"Calling tool {tool_name}..."
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elif status_type == AgentStatusType.TOOL_OUTPUT:
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latest_message = "Analyzing tool output..."
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else:
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return
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st.session_state.status.update(label=latest_message)
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max_log_msg_size = 200
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with st.session_state.status:
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for log_msg in st.session_state.log_messages:
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st.markdown(log_msg[:max_log_msg_size]+'...', unsafe_allow_html=True)
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@st.dialog(title="Agent logs", width='large')
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def show_modal():
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for log_msg in st.session_state.log_messages:
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st.write(log_msg, unsafe_allow_html=True)
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async def launch_bot():
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def reset():
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st.session_state.messages = [{"role": "assistant", "content": initial_prompt, "avatar": "π¦"}]
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st.session_state.log_messages = []
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st.session_state.prompt = None
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st.session_state.ex_prompt = None
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st.session_state.first_turn = True
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st.session_state.show_logs = False
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if 'agent' not in st.session_state:
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st.session_state.agent = initialize_agent(cfg, agent_progress_callback=agent_progress_callback)
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else:
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st.session_state.agent.clear_memory()
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if st.button('Start Over'):
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reset()
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st.rerun()
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with bc2:
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if st.button('Show Logs'):
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show_modal()
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st.divider()
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st.markdown(
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prompt = st.chat_input()
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if prompt:
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st.session_state.messages.append({"role": "user", "content": prompt, "avatar": 'π§βπ»'})
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st.session_state.prompt = prompt
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st.session_state.log_messages = []
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st.session_state.show_logs = False
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with st.chat_message("user", avatar='π§βπ»'):
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# Generate a new response if last message is not from assistant
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if st.session_state.prompt:
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with st.chat_message("assistant", avatar='π€'):
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st.session_state.status = st.status('Processing...', expanded=False)
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res = st.session_state.agent.chat(st.session_state.prompt)
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res = escape_dollars_outside_latex(res)
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message = {"role": "assistant", "content": res, "avatar": 'π€'}
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st.session_state.messages.append(message)
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st.markdown(res)
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# Record user feedback
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if (st.session_state.messages[-1]["role"] == "assistant") & (st.session_state.messages[-1]["content"] != initial_prompt):
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if "feedback_key" not in st.session_state:
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st.session_state.feedback_key = 0
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streamlit_feedback(
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feedback_type="thumbs", on_submit=thumbs_feedback, key=str(st.session_state.feedback_key),
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kwargs={"user_query": st.session_state.messages[-2]["content"],
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"bot_response": st.session_state.messages[-1]["content"],
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"demo_name": cfg["demo_name"]}
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)
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sys.stdout.flush()
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