Spaces:
Sleeping
Sleeping
File size: 8,562 Bytes
1c14b76 a0569dd a5dc84b e83a11a 1c14b76 a0569dd 1c14b76 a0569dd e83a11a a0569dd 1c14b76 a0569dd 1c14b76 a0569dd 1c14b76 a0569dd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 |
import streamlit as st
import json
import pandas as pd
import markdown
import os
os.environ["HOME"] = "/tmp"
# Page configuration for wide layout
st.set_page_config(
page_title="Chat Trajectory Viewer",
page_icon="π¬",
layout="wide",
initial_sidebar_state="collapsed"
)
@st.cache_data
def load_data():
"""Load the JSONL data file"""
try:
df = pd.read_json("../airline_data_oai_format.jsonl", lines=True)
return df
except Exception as e:
st.error(f"Error loading data: {e}")
return None
def display_message(role, content, index):
"""Display a single message with role-specific styling"""
# Define colors for different roles
role_colors = {
"system": "#ff6b6b", # Red
"user": "#4ecdc4", # Teal
"assistant": "#45b7d1", # Blue
"tool": "#96ceb4", # Green
"info": "#feca57" # Yellow
}
# Get color for this role, default to gray
color = role_colors.get(role.lower(), "#95a5a6")
# Format content for HTML display
if isinstance(content, dict):
content_html = f"<pre style='background: #f8f9fa; padding: 10px; border-radius: 4px; overflow-x: auto;'>{json.dumps(content, indent=2)}</pre>"
elif isinstance(content, str):
# Convert markdown to HTML properly
content_html = markdown.markdown(content, extensions=['nl2br', 'fenced_code'])
elif content is None:
content_html = "<em>(No content)</em>"
else:
content_html = markdown.markdown(str(content), extensions=['nl2br'])
# Special handling for system messages - make them collapsible
if role.lower() == "system":
with st.expander(f"π§ {role.upper()}", expanded=False):
st.markdown(f"""
<div style="
border-left: 4px solid {color};
margin: 8px 0;
background-color: #f8f9fa;
padding: 12px;
border-radius: 0 8px 8px 0;
box-shadow: 0 1px 3px rgba(0,0,0,0.1);
">
<div style="
color: #666;
font-size: 14px;
font-weight: bold;
margin-bottom: 8px;
text-transform: uppercase;
letter-spacing: 1px;
">{role}</div>
<div style="
color: #333;
line-height: 1.6;
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
">
{content_html}
</div>
</div>
""", unsafe_allow_html=True)
else:
# Regular message display for non-system messages
st.markdown(f"""
<div style="
border-left: 4px solid {color};
margin: 8px 0;
background-color: #f8f9fa;
padding: 12px;
border-radius: 0 8px 8px 0;
box-shadow: 0 1px 3px rgba(0,0,0,0.1);
">
<div style="
color: #666;
font-size: 14px;
font-weight: bold;
margin-bottom: 8px;
text-transform: uppercase;
letter-spacing: 1px;
">{role}</div>
<div style="
color: #333;
line-height: 1.6;
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
">
{content_html}
</div>
</div>
""", unsafe_allow_html=True)
# Handle special cases that need separate display
if isinstance(content, dict) and len(json.dumps(content, indent=2)) > 500:
# For very large JSON, also show expandable version
with st.expander("View JSON in expandable format"):
st.json(content)
def main():
st.title("Chat Trajectory Viewer")
st.markdown("Browse through airline booking conversation trajectories")
# Custom CSS with more specific selectors and Streamlit configuration
st.markdown("""
<style>
/* Force full width layout */
.main .block-container {
max-width: 100% !important;
padding-left: 0.5rem !important;
padding-right: 0.5rem !important;
}
/* Target Streamlit's main container */
section[data-testid="stSidebar"] {
display: none !important;
}
/* Make all content use full width */
.main > div {
max-width: 100% !important;
padding-left: 0.5rem !important;
padding-right: 0.5rem !important;
}
/* Reduce spacing between all elements */
.element-container {
margin-bottom: 0.25rem !important;
}
/* Target the main content area specifically */
div[data-testid="stVerticalBlock"] {
max-width: 100% !important;
}
/* Override any default margins */
.stMarkdown {
margin-bottom: 0.25rem !important;
}
/* Make sure columns use full width */
.row-widget.stHorizontal {
max-width: 100% !important;
}
</style>
""", unsafe_allow_html=True)
# Load data
df = load_data()
if df is None:
return
# Navigation
col1, col2, col3 = st.columns([1, 2, 1])
with col1:
if st.button("β Previous"):
if 'trajectory_index' not in st.session_state:
st.session_state.trajectory_index = 0
st.session_state.trajectory_index = max(0, st.session_state.trajectory_index - 1)
with col2:
# Initialize trajectory index
if 'trajectory_index' not in st.session_state:
st.session_state.trajectory_index = 0
# Trajectory selector
trajectory_index = st.selectbox(
"Select Trajectory:",
range(len(df)),
index=st.session_state.trajectory_index,
format_func=lambda x: f"Trajectory {x} (Task ID: {df.iloc[x]['task_id']}, Reward: {df.iloc[x]['reward']})"
)
st.session_state.trajectory_index = trajectory_index
with col3:
if st.button("Next β"):
st.session_state.trajectory_index = min(len(df) - 1, st.session_state.trajectory_index + 1)
# Display current trajectory info
current_row = df.iloc[st.session_state.trajectory_index]
data = current_row['oai_traj_format']
# Display metadata
col1, col2, col3 = st.columns(3)
with col1:
st.metric("Task ID", data['task_id'])
with col2:
st.metric("Reward", data['reward'])
with col3:
st.metric("Messages", len(data['messages']))
st.markdown("---")
# Display messages
st.subheader("Conversation Trajectory")
for i, message in enumerate(data['messages']):
role = message.get('role', 'unknown')
content = message.get('content')
# Store message data in session state for tool calls
st.session_state[f'message_{i}'] = message
display_message(role, content, i)
# Handle tool calls if present
if 'tool_calls' in message:
for j, tool_call in enumerate(message['tool_calls']):
st.markdown(f"""
<div style="
border-left: 4px solid #e67e22;
padding-left: 20px;
margin: 5px 0 5px 20px;
background-color: #fdf6e3;
padding: 10px;
border-radius: 0 5px 5px 0;
">
<h5 style="
color: #666;
font-size: 12px;
font-weight: bold;
margin-bottom: 5px;
text-transform: uppercase;
">TOOL CALL</h5>
</div>
""", unsafe_allow_html=True)
# Display tool call details
tool_info = {
"function": tool_call.get('function', {}),
"id": tool_call.get('id', ''),
"type": tool_call.get('type', '')
}
st.json(tool_info)
# Handle tool call responses
if role == 'tool':
tool_call_id = message.get('tool_call_id', 'Unknown')
name = message.get('name', 'Unknown')
st.caption(f"Tool: {name} | Call ID: {tool_call_id}")
if __name__ == "__main__":
main() |