Update app.py
Browse files
app.py
CHANGED
|
@@ -142,7 +142,7 @@ def plot_metrics(metrics):
|
|
| 142 |
return 'rag_plot.png'
|
| 143 |
|
| 144 |
# Gradio interface with stacked buttons and single output
|
| 145 |
-
def chat_interface(query
|
| 146 |
try:
|
| 147 |
response, retrieved_faqs, metrics = rag_process(query)
|
| 148 |
plot_path = plot_metrics(metrics)
|
|
@@ -186,9 +186,11 @@ body {
|
|
| 186 |
border-radius: 5px;
|
| 187 |
padding: 10px 20px;
|
| 188 |
margin: 5px 0;
|
| 189 |
-
width:
|
|
|
|
| 190 |
text-align: center;
|
| 191 |
transition: background 0.3s ease;
|
|
|
|
| 192 |
}
|
| 193 |
.gr-button:hover {
|
| 194 |
background: #1c86ee;
|
|
@@ -200,9 +202,10 @@ body {
|
|
| 200 |
border: 1px solid #4a4a4a;
|
| 201 |
border-radius: 5px;
|
| 202 |
margin-bottom: 10px;
|
|
|
|
| 203 |
}
|
| 204 |
#app-container {
|
| 205 |
-
max-width:
|
| 206 |
width: 100%;
|
| 207 |
padding: 20px;
|
| 208 |
background: #252525;
|
|
@@ -217,17 +220,25 @@ body {
|
|
| 217 |
background: #303030;
|
| 218 |
border-radius: 8px;
|
| 219 |
margin-bottom: 20px;
|
|
|
|
|
|
|
| 220 |
}
|
| 221 |
#output-container {
|
| 222 |
background: #303030;
|
| 223 |
padding: 15px;
|
| 224 |
border-radius: 8px;
|
| 225 |
margin-top: 20px;
|
|
|
|
| 226 |
}
|
| 227 |
.text-center {
|
| 228 |
text-align: center;
|
| 229 |
margin-bottom: 20px;
|
| 230 |
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 231 |
"""
|
| 232 |
|
| 233 |
# Get unique questions for buttons (after cleanup)
|
|
@@ -238,31 +249,42 @@ with gr.Blocks(css=custom_css) as demo:
|
|
| 238 |
gr.Markdown("# Customer Experience Bot Demo", elem_classes="text-center")
|
| 239 |
gr.Markdown("Select a question to see the bot's response, retrieved FAQs, and call center data cleanup stats.", elem_classes="text-center")
|
| 240 |
|
| 241 |
-
#
|
| 242 |
-
with gr.
|
| 243 |
-
|
| 244 |
-
|
| 245 |
-
|
| 246 |
-
|
| 247 |
-
|
| 248 |
-
|
| 249 |
-
|
| 250 |
-
|
| 251 |
-
|
| 252 |
-
|
| 253 |
-
|
| 254 |
-
|
| 255 |
-
|
| 256 |
-
|
| 257 |
-
|
| 258 |
-
|
| 259 |
-
|
| 260 |
-
|
| 261 |
-
|
| 262 |
-
|
| 263 |
-
|
| 264 |
-
|
| 265 |
-
|
| 266 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 267 |
|
| 268 |
demo.launch()
|
|
|
|
| 142 |
return 'rag_plot.png'
|
| 143 |
|
| 144 |
# Gradio interface with stacked buttons and single output
|
| 145 |
+
def chat_interface(query):
|
| 146 |
try:
|
| 147 |
response, retrieved_faqs, metrics = rag_process(query)
|
| 148 |
plot_path = plot_metrics(metrics)
|
|
|
|
| 186 |
border-radius: 5px;
|
| 187 |
padding: 10px 20px;
|
| 188 |
margin: 5px 0;
|
| 189 |
+
width: 80%;
|
| 190 |
+
align-self: center;
|
| 191 |
text-align: center;
|
| 192 |
transition: background 0.3s ease;
|
| 193 |
+
font-size: 16px;
|
| 194 |
}
|
| 195 |
.gr-button:hover {
|
| 196 |
background: #1c86ee;
|
|
|
|
| 202 |
border: 1px solid #4a4a4a;
|
| 203 |
border-radius: 5px;
|
| 204 |
margin-bottom: 10px;
|
| 205 |
+
font-size: 14px;
|
| 206 |
}
|
| 207 |
#app-container {
|
| 208 |
+
max-width: 800px;
|
| 209 |
width: 100%;
|
| 210 |
padding: 20px;
|
| 211 |
background: #252525;
|
|
|
|
| 220 |
background: #303030;
|
| 221 |
border-radius: 8px;
|
| 222 |
margin-bottom: 20px;
|
| 223 |
+
align-items: center;
|
| 224 |
+
width: 66%;
|
| 225 |
}
|
| 226 |
#output-container {
|
| 227 |
background: #303030;
|
| 228 |
padding: 15px;
|
| 229 |
border-radius: 8px;
|
| 230 |
margin-top: 20px;
|
| 231 |
+
width: 100%;
|
| 232 |
}
|
| 233 |
.text-center {
|
| 234 |
text-align: center;
|
| 235 |
margin-bottom: 20px;
|
| 236 |
}
|
| 237 |
+
#app-row {
|
| 238 |
+
display: flex;
|
| 239 |
+
gap: 20px;
|
| 240 |
+
justify-content: space-between;
|
| 241 |
+
}
|
| 242 |
"""
|
| 243 |
|
| 244 |
# Get unique questions for buttons (after cleanup)
|
|
|
|
| 249 |
gr.Markdown("# Customer Experience Bot Demo", elem_classes="text-center")
|
| 250 |
gr.Markdown("Select a question to see the bot's response, retrieved FAQs, and call center data cleanup stats.", elem_classes="text-center")
|
| 251 |
|
| 252 |
+
# Rule of thirds layout: buttons on left 2/3, outputs on right 1/3
|
| 253 |
+
with gr.Row(elem_id="app-row"):
|
| 254 |
+
# Buttons (left 2/3)
|
| 255 |
+
with gr.Column(elem_id="button-container"):
|
| 256 |
+
for question in unique_questions:
|
| 257 |
+
gr.Button(question).click(
|
| 258 |
+
fn=chat_interface,
|
| 259 |
+
inputs=gr.State(value=question),
|
| 260 |
+
outputs=[
|
| 261 |
+
gr.State(),
|
| 262 |
+
gr.State(),
|
| 263 |
+
gr.State(),
|
| 264 |
+
gr.State()
|
| 265 |
+
],
|
| 266 |
+
_js="() => {return [arguments[0], document.querySelector('#response-output').value, document.querySelector('#faq-output').value, document.querySelector('#cleanup-output').value, document.querySelector('#plot-output').value]}"
|
| 267 |
+
).then(
|
| 268 |
+
fn=lambda response, faq_text, cleanup_stats, plot_path: (response, faq_text, cleanup_stats, plot_path),
|
| 269 |
+
inputs=[
|
| 270 |
+
gr.State(),
|
| 271 |
+
gr.State(),
|
| 272 |
+
gr.State(),
|
| 273 |
+
gr.State()
|
| 274 |
+
],
|
| 275 |
+
outputs=[
|
| 276 |
+
gr.Textbox(label="Bot Response", elem_id="response-output"),
|
| 277 |
+
gr.Textbox(label="Retrieved FAQs", elem_id="faq-output"),
|
| 278 |
+
gr.Textbox(label="Data Cleanup Stats", elem_id="cleanup-output"),
|
| 279 |
+
gr.Image(label="RAG Pipeline Metrics", elem_id="plot-output")
|
| 280 |
+
]
|
| 281 |
+
)
|
| 282 |
+
|
| 283 |
+
# Single output panel (right 1/3)
|
| 284 |
+
with gr.Column(elem_id="output-container"):
|
| 285 |
+
response_output = gr.Textbox(label="Bot Response", elem_id="response-output")
|
| 286 |
+
faq_output = gr.Textbox(label="Retrieved FAQs", elem_id="faq-output")
|
| 287 |
+
cleanup_output = gr.Textbox(label="Data Cleanup Stats", elem_id="cleanup-output")
|
| 288 |
+
plot_output = gr.Image(label="RAG Pipeline Metrics", elem_id="plot-output")
|
| 289 |
|
| 290 |
demo.launch()
|