Spaces:
Sleeping
Sleeping
Upload app.py with huggingface_hub
Browse files
app.py
CHANGED
|
@@ -1,4 +1,5 @@
|
|
| 1 |
import re
|
|
|
|
| 2 |
import gradio as gr
|
| 3 |
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
|
| 4 |
import torch
|
|
@@ -14,85 +15,10 @@ print("Model loaded.")
|
|
| 14 |
AGG_OPS = ["", "MAX", "MIN", "COUNT", "SUM", "AVG"]
|
| 15 |
OPS = ["=", ">", "<", ">=", "<=", "!="]
|
| 16 |
|
| 17 |
-
CSS
|
| 18 |
-
.
|
| 19 |
-
|
| 20 |
-
|
| 21 |
-
}
|
| 22 |
-
.main-header h1 {
|
| 23 |
-
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
| 24 |
-
-webkit-background-clip: text;
|
| 25 |
-
-webkit-text-fill-color: transparent;
|
| 26 |
-
font-size: 2.4rem;
|
| 27 |
-
font-weight: 800;
|
| 28 |
-
margin-bottom: 0.25rem;
|
| 29 |
-
}
|
| 30 |
-
.main-header p {
|
| 31 |
-
color: #6b7280;
|
| 32 |
-
font-size: 1.05rem;
|
| 33 |
-
max-width: 600px;
|
| 34 |
-
margin: 0 auto;
|
| 35 |
-
}
|
| 36 |
-
.pipeline-box {
|
| 37 |
-
background: linear-gradient(135deg, #f0f4ff 0%, #faf0ff 100%);
|
| 38 |
-
border: 1px solid #e0d4f5;
|
| 39 |
-
border-radius: 12px;
|
| 40 |
-
padding: 1rem 1.5rem;
|
| 41 |
-
text-align: center;
|
| 42 |
-
font-family: 'SF Mono', 'Fira Code', monospace;
|
| 43 |
-
font-size: 0.9rem;
|
| 44 |
-
color: #4a4a6a;
|
| 45 |
-
margin-bottom: 1rem;
|
| 46 |
-
}
|
| 47 |
-
.sql-output textarea {
|
| 48 |
-
font-family: 'SF Mono', 'Fira Code', 'Cascadia Code', monospace !important;
|
| 49 |
-
font-size: 1.1rem !important;
|
| 50 |
-
background: #1e1e2e !important;
|
| 51 |
-
color: #cdd6f4 !important;
|
| 52 |
-
border: 1px solid #45475a !important;
|
| 53 |
-
border-radius: 10px !important;
|
| 54 |
-
padding: 1rem !important;
|
| 55 |
-
}
|
| 56 |
-
.raw-output textarea {
|
| 57 |
-
font-family: 'SF Mono', 'Fira Code', monospace !important;
|
| 58 |
-
font-size: 0.9rem !important;
|
| 59 |
-
background: #f8f9fc !important;
|
| 60 |
-
color: #6b7280 !important;
|
| 61 |
-
border: 1px solid #e5e7eb !important;
|
| 62 |
-
border-radius: 8px !important;
|
| 63 |
-
}
|
| 64 |
-
.input-section {
|
| 65 |
-
border: 1px solid #e5e7eb;
|
| 66 |
-
border-radius: 12px;
|
| 67 |
-
padding: 1.25rem;
|
| 68 |
-
background: #fafbff;
|
| 69 |
-
}
|
| 70 |
-
.generate-btn {
|
| 71 |
-
background: linear-gradient(135deg, #667eea 0%, #764ba2 100%) !important;
|
| 72 |
-
border: none !important;
|
| 73 |
-
color: white !important;
|
| 74 |
-
font-weight: 600 !important;
|
| 75 |
-
font-size: 1.05rem !important;
|
| 76 |
-
padding: 0.75rem 2rem !important;
|
| 77 |
-
border-radius: 10px !important;
|
| 78 |
-
min-height: 46px !important;
|
| 79 |
-
}
|
| 80 |
-
.generate-btn:hover {
|
| 81 |
-
opacity: 0.92 !important;
|
| 82 |
-
transform: translateY(-1px);
|
| 83 |
-
box-shadow: 0 4px 15px rgba(102, 126, 234, 0.4) !important;
|
| 84 |
-
}
|
| 85 |
-
.info-badge {
|
| 86 |
-
display: inline-block;
|
| 87 |
-
background: #eef2ff;
|
| 88 |
-
color: #4f46e5;
|
| 89 |
-
padding: 0.2rem 0.6rem;
|
| 90 |
-
border-radius: 6px;
|
| 91 |
-
font-size: 0.8rem;
|
| 92 |
-
font-weight: 600;
|
| 93 |
-
}
|
| 94 |
-
footer { display: none !important; }
|
| 95 |
-
"""
|
| 96 |
|
| 97 |
|
| 98 |
def decode_structured_output(text):
|
|
@@ -216,18 +142,6 @@ theme = gr.themes.Soft(
|
|
| 216 |
neutral_hue="slate",
|
| 217 |
font=gr.themes.GoogleFont("Inter"),
|
| 218 |
font_mono=gr.themes.GoogleFont("Fira Code"),
|
| 219 |
-
).set(
|
| 220 |
-
body_background_fill="#fafbff",
|
| 221 |
-
block_background_fill="white",
|
| 222 |
-
block_border_width="1px",
|
| 223 |
-
block_border_color="#e5e7eb",
|
| 224 |
-
block_radius="12px",
|
| 225 |
-
block_shadow="0 1px 3px rgba(0,0,0,0.06)",
|
| 226 |
-
input_border_color="#d1d5db",
|
| 227 |
-
input_border_width="1px",
|
| 228 |
-
input_radius="8px",
|
| 229 |
-
button_primary_background_fill="linear-gradient(135deg, #667eea 0%, #764ba2 100%)",
|
| 230 |
-
button_primary_text_color="white",
|
| 231 |
)
|
| 232 |
|
| 233 |
with gr.Blocks(title="Text-to-SQL Demo") as demo:
|
|
@@ -235,33 +149,37 @@ with gr.Blocks(title="Text-to-SQL Demo") as demo:
|
|
| 235 |
gr.HTML("""
|
| 236 |
<div class="main-header">
|
| 237 |
<h1>Text-to-SQL</h1>
|
| 238 |
-
<p>Fine-tuned T5 model that converts natural language questions
|
|
|
|
| 239 |
</div>
|
| 240 |
""")
|
| 241 |
|
| 242 |
-
# Pipeline visualization
|
| 243 |
gr.HTML("""
|
| 244 |
<div class="pipeline-box">
|
| 245 |
-
Natural Language
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 246 |
</div>
|
| 247 |
""")
|
| 248 |
|
| 249 |
with gr.Row(equal_height=True):
|
| 250 |
-
# Left: Inputs
|
| 251 |
with gr.Column(scale=1):
|
| 252 |
-
gr.Markdown("### Input")
|
| 253 |
question = gr.Textbox(
|
| 254 |
label="Natural Language Question",
|
| 255 |
placeholder="e.g. What is terrence ross' nationality?",
|
| 256 |
lines=2,
|
| 257 |
-
elem_classes=["input-section"],
|
| 258 |
)
|
| 259 |
schema = gr.Textbox(
|
| 260 |
label="Database Schema",
|
| 261 |
placeholder="table_name: col1, col2, col3, ...",
|
| 262 |
lines=2,
|
| 263 |
info="Format: table_name: column1, column2, column3",
|
| 264 |
-
elem_classes=["input-section"],
|
| 265 |
)
|
| 266 |
with gr.Row():
|
| 267 |
beams = gr.Slider(
|
|
@@ -275,9 +193,8 @@ with gr.Blocks(title="Text-to-SQL Demo") as demo:
|
|
| 275 |
)
|
| 276 |
btn = gr.Button("Generate SQL", variant="primary", elem_classes=["generate-btn"])
|
| 277 |
|
| 278 |
-
# Right: Outputs
|
| 279 |
with gr.Column(scale=1):
|
| 280 |
-
gr.Markdown("### Output")
|
| 281 |
sql_out = gr.Textbox(
|
| 282 |
label="Generated SQL",
|
| 283 |
lines=3,
|
|
@@ -300,8 +217,7 @@ with gr.Blocks(title="Text-to-SQL Demo") as demo:
|
|
| 300 |
outputs=[sql_out, raw_out, parsed_out],
|
| 301 |
)
|
| 302 |
|
| 303 |
-
|
| 304 |
-
gr.Markdown("### Try These Examples")
|
| 305 |
gr.Examples(
|
| 306 |
examples=[
|
| 307 |
["What is terrence ross' nationality", "players: Player, No., Nationality, Position, Years in Toronto, School/Club Team", 5, 256],
|
|
@@ -320,15 +236,14 @@ with gr.Blocks(title="Text-to-SQL Demo") as demo:
|
|
| 320 |
cache_examples=False,
|
| 321 |
)
|
| 322 |
|
| 323 |
-
# Footer info
|
| 324 |
gr.HTML("""
|
| 325 |
-
<div
|
| 326 |
<span class="info-badge">T5-base</span>
|
| 327 |
<span class="info-badge">WikiSQL</span>
|
| 328 |
<span class="info-badge">Seq2Seq</span>
|
| 329 |
<span class="info-badge">Structured Output</span>
|
| 330 |
<p style="margin-top:0.75rem;">
|
| 331 |
-
Model: <a href="https://huggingface.co/RealMati/t2sql_v6_structured" target="_blank"
|
| 332 |
</p>
|
| 333 |
</div>
|
| 334 |
""")
|
|
|
|
| 1 |
import re
|
| 2 |
+
import os
|
| 3 |
import gradio as gr
|
| 4 |
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
|
| 5 |
import torch
|
|
|
|
| 15 |
AGG_OPS = ["", "MAX", "MIN", "COUNT", "SUM", "AVG"]
|
| 16 |
OPS = ["=", ">", "<", ">=", "<=", "!="]
|
| 17 |
|
| 18 |
+
# Load CSS from external file
|
| 19 |
+
css_path = os.path.join(os.path.dirname(__file__), "style.css")
|
| 20 |
+
with open(css_path, "r") as f:
|
| 21 |
+
CSS = f.read()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
|
| 23 |
|
| 24 |
def decode_structured_output(text):
|
|
|
|
| 142 |
neutral_hue="slate",
|
| 143 |
font=gr.themes.GoogleFont("Inter"),
|
| 144 |
font_mono=gr.themes.GoogleFont("Fira Code"),
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 145 |
)
|
| 146 |
|
| 147 |
with gr.Blocks(title="Text-to-SQL Demo") as demo:
|
|
|
|
| 149 |
gr.HTML("""
|
| 150 |
<div class="main-header">
|
| 151 |
<h1>Text-to-SQL</h1>
|
| 152 |
+
<p>Fine-tuned T5 model that converts natural language questions
|
| 153 |
+
into structured SQL queries using the WikiSQL dataset</p>
|
| 154 |
</div>
|
| 155 |
""")
|
| 156 |
|
| 157 |
+
# Pipeline visualization - dark background so text is always visible
|
| 158 |
gr.HTML("""
|
| 159 |
<div class="pipeline-box">
|
| 160 |
+
<span class="stage">Natural Language</span>
|
| 161 |
+
<span class="arrow"> → </span>
|
| 162 |
+
<span class="stage">T5 Encoder</span>
|
| 163 |
+
<span class="arrow"> → </span>
|
| 164 |
+
<span class="highlight">Structured Tokens (SEL | AGG | CONDS)</span>
|
| 165 |
+
<span class="arrow"> → </span>
|
| 166 |
+
<span class="stage">SQL Query</span>
|
| 167 |
</div>
|
| 168 |
""")
|
| 169 |
|
| 170 |
with gr.Row(equal_height=True):
|
|
|
|
| 171 |
with gr.Column(scale=1):
|
| 172 |
+
gr.Markdown("### Input", elem_classes=["section-header"])
|
| 173 |
question = gr.Textbox(
|
| 174 |
label="Natural Language Question",
|
| 175 |
placeholder="e.g. What is terrence ross' nationality?",
|
| 176 |
lines=2,
|
|
|
|
| 177 |
)
|
| 178 |
schema = gr.Textbox(
|
| 179 |
label="Database Schema",
|
| 180 |
placeholder="table_name: col1, col2, col3, ...",
|
| 181 |
lines=2,
|
| 182 |
info="Format: table_name: column1, column2, column3",
|
|
|
|
| 183 |
)
|
| 184 |
with gr.Row():
|
| 185 |
beams = gr.Slider(
|
|
|
|
| 193 |
)
|
| 194 |
btn = gr.Button("Generate SQL", variant="primary", elem_classes=["generate-btn"])
|
| 195 |
|
|
|
|
| 196 |
with gr.Column(scale=1):
|
| 197 |
+
gr.Markdown("### Output", elem_classes=["section-header"])
|
| 198 |
sql_out = gr.Textbox(
|
| 199 |
label="Generated SQL",
|
| 200 |
lines=3,
|
|
|
|
| 217 |
outputs=[sql_out, raw_out, parsed_out],
|
| 218 |
)
|
| 219 |
|
| 220 |
+
gr.Markdown("### Try These Examples", elem_classes=["section-header"])
|
|
|
|
| 221 |
gr.Examples(
|
| 222 |
examples=[
|
| 223 |
["What is terrence ross' nationality", "players: Player, No., Nationality, Position, Years in Toronto, School/Club Team", 5, 256],
|
|
|
|
| 236 |
cache_examples=False,
|
| 237 |
)
|
| 238 |
|
|
|
|
| 239 |
gr.HTML("""
|
| 240 |
+
<div class="footer-section">
|
| 241 |
<span class="info-badge">T5-base</span>
|
| 242 |
<span class="info-badge">WikiSQL</span>
|
| 243 |
<span class="info-badge">Seq2Seq</span>
|
| 244 |
<span class="info-badge">Structured Output</span>
|
| 245 |
<p style="margin-top:0.75rem;">
|
| 246 |
+
Model: <a href="https://huggingface.co/RealMati/t2sql_v6_structured" target="_blank">RealMati/t2sql_v6_structured</a>
|
| 247 |
</p>
|
| 248 |
</div>
|
| 249 |
""")
|