Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -55,7 +55,7 @@ def parse_query(nl_query):
|
|
55 |
]
|
56 |
|
57 |
try:
|
58 |
-
response = openai.
|
59 |
model="gpt-4",
|
60 |
messages=messages,
|
61 |
temperature=0,
|
@@ -84,115 +84,222 @@ def execute_sql_query(sql_query):
|
|
84 |
# Gradio Application UI
|
85 |
# =========================
|
86 |
|
87 |
-
|
88 |
-
|
89 |
-
|
|
|
|
|
|
|
90 |
|
91 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
92 |
|
93 |
-
|
94 |
-
|
95 |
-
|
|
|
96 |
|
97 |
-
|
98 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
99 |
|
|
|
|
|
100 |
with gr.Row():
|
101 |
-
|
102 |
-
|
103 |
-
|
104 |
-
|
105 |
-
|
106 |
-
|
107 |
-
|
108 |
-
|
109 |
-
|
110 |
-
|
|
|
|
|
|
|
111 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
112 |
|
|
|
|
|
|
|
|
|
|
|
|
|
113 |
query_input = gr.Textbox(
|
114 |
label="Your Query",
|
115 |
placeholder='e.g., "What are the total awards over 1M in California?"',
|
116 |
-
lines=
|
117 |
)
|
118 |
|
119 |
-
|
120 |
-
|
121 |
-
|
122 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
123 |
with gr.Column(scale=2):
|
124 |
-
|
|
|
125 |
|
|
|
126 |
with gr.Tab("Dataset Schema"):
|
127 |
-
gr.
|
128 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
129 |
|
130 |
# =========================
|
131 |
# Event Functions
|
132 |
# =========================
|
133 |
|
134 |
def generate_sql(nl_query):
|
|
|
|
|
135 |
sql_query, error = parse_query(nl_query)
|
136 |
-
|
|
|
|
|
137 |
|
138 |
def execute_query(sql_query):
|
|
|
|
|
139 |
result_df, error = execute_sql_query(sql_query)
|
140 |
-
|
|
|
|
|
141 |
|
142 |
-
def
|
143 |
if example_query.strip().upper().startswith("SELECT"):
|
144 |
sql_query = example_query
|
145 |
result_df, error = execute_sql_query(sql_query)
|
146 |
-
|
|
|
|
|
147 |
else:
|
148 |
sql_query, error = parse_query(example_query)
|
149 |
if error:
|
150 |
-
return
|
151 |
result_df, exec_error = execute_sql_query(sql_query)
|
152 |
-
|
|
|
|
|
|
|
|
|
|
|
153 |
|
154 |
# =========================
|
155 |
# Button Click Event Handlers
|
156 |
# =========================
|
157 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
158 |
btn_generate_sql.click(
|
159 |
fn=generate_sql,
|
160 |
inputs=query_input,
|
161 |
-
outputs=[sql_query_out, error_out]
|
|
|
162 |
)
|
163 |
|
|
|
164 |
btn_execute_query.click(
|
165 |
fn=execute_query,
|
166 |
inputs=sql_query_out,
|
167 |
-
outputs=[results_out, error_out]
|
|
|
168 |
)
|
169 |
|
170 |
-
|
171 |
-
|
172 |
-
|
173 |
-
|
174 |
-
|
175 |
-
|
176 |
-
outputs=[sql_query_out, error_out, results_out, error_out]
|
177 |
-
)
|
178 |
-
btn_example3.click(
|
179 |
-
fn=lambda: handle_example_click("SELECT department_ind_agency, CONCAT('$', ROUND(SUM(award), 0)) AS sum_award FROM contract_data GROUP BY department_ind_agency ORDER BY SUM(award) DESC LIMIT 25"),
|
180 |
-
outputs=[sql_query_out, error_out, results_out, error_out]
|
181 |
-
)
|
182 |
-
btn_example4.click(
|
183 |
-
fn=lambda: handle_example_click("Retrieve the top 15 records from contract_data where basetype is Award Notice, awardee has at least 12 characters, and popcity has more than 5 characters. Exclude the fields sub_tier, popzip, awardnumber, basetype, popstate, active, popcountry, type, countrycode, and popstreetaddress"),
|
184 |
-
outputs=[sql_query_out, error_out, results_out, error_out]
|
185 |
-
)
|
186 |
-
btn_example5.click(
|
187 |
-
fn=lambda: handle_example_click("SELECT award, office, department_ind_agency,awardee from contract_data WHERE awardee IS NOT NULL AND award IS NOT NULL AND award > 100000000 LIMIT 10;"),
|
188 |
-
outputs=[sql_query_out, error_out, results_out, error_out]
|
189 |
-
)
|
190 |
-
btn_example6.click(
|
191 |
-
fn=lambda: handle_example_click("SELECT awardee, CONCAT('$', ROUND(SUM(award), 0)) AS sum_award FROM contract_data GROUP BY awardee ORDER BY SUM(award) DESC LIMIT 25"),
|
192 |
-
outputs=[sql_query_out, error_out, results_out, error_out]
|
193 |
)
|
194 |
|
195 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
196 |
|
197 |
-
# Launch the Gradio App
|
198 |
-
demo.launch()
|
|
|
55 |
]
|
56 |
|
57 |
try:
|
58 |
+
response = openai.ChatCompletion.create(
|
59 |
model="gpt-4",
|
60 |
messages=messages,
|
61 |
temperature=0,
|
|
|
84 |
# Gradio Application UI
|
85 |
# =========================
|
86 |
|
87 |
+
# Custom CSS for enhanced styling
|
88 |
+
custom_css = """
|
89 |
+
.gradio-container {
|
90 |
+
font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif;
|
91 |
+
background-color: #f9f9f9;
|
92 |
+
}
|
93 |
|
94 |
+
.header {
|
95 |
+
background-color: #ff5a5f;
|
96 |
+
color: white;
|
97 |
+
padding: 20px;
|
98 |
+
text-align: center;
|
99 |
+
border-radius: 8px;
|
100 |
+
}
|
101 |
|
102 |
+
.button-primary {
|
103 |
+
background-color: #ff5a5f;
|
104 |
+
color: white;
|
105 |
+
}
|
106 |
|
107 |
+
.button-secondary {
|
108 |
+
background-color: #007A87;
|
109 |
+
color: white;
|
110 |
+
}
|
111 |
+
|
112 |
+
.footer {
|
113 |
+
text-align: center;
|
114 |
+
padding: 10px;
|
115 |
+
color: #555;
|
116 |
+
}
|
117 |
+
"""
|
118 |
|
119 |
+
with gr.Blocks(css=custom_css, theme=gr.themes.Default()) as demo:
|
120 |
+
# Header Section
|
121 |
with gr.Row():
|
122 |
+
gr.HTML(f"""
|
123 |
+
<div class="header">
|
124 |
+
<h1>US Government Contract Data Analyzer</h1>
|
125 |
+
<p>Convert natural language queries into SQL and explore contract data effortlessly.</p>
|
126 |
+
</div>
|
127 |
+
""")
|
128 |
+
|
129 |
+
# Main Content
|
130 |
+
with gr.Row():
|
131 |
+
with gr.Column(scale=1, min_width=300):
|
132 |
+
# Instructions
|
133 |
+
gr.Markdown("""
|
134 |
+
## How to Use
|
135 |
|
136 |
+
1. **Describe your query**: Enter a natural language description of the data you need.
|
137 |
+
2. **Select an example**: Choose from predefined example queries for inspiration.
|
138 |
+
3. **Generate SQL**: Click the button to convert your description into an SQL query.
|
139 |
+
4. **Execute**: Run the SQL query to view the results.
|
140 |
+
|
141 |
+
### Example Queries
|
142 |
+
""")
|
143 |
+
|
144 |
+
# Example Queries Dropdown
|
145 |
+
example_queries = [
|
146 |
+
"Show awards over 1M in CA",
|
147 |
+
"Retrieve the top 15 records from contract_data where basetype is Award Notice, awardee has at least 12 characters, and popcity has more than 5 characters. Exclude the fields sub_tier, popzip, awardnumber, basetype, popstate, active, popcountry, type, countrycode, and popstreetaddress",
|
148 |
+
"Show top 10 departments by award amount",
|
149 |
+
"SELECT department_ind_agency, CONCAT('$', ROUND(SUM(award), 0)) AS sum_award FROM contract_data GROUP BY department_ind_agency ORDER BY SUM(award) DESC LIMIT 25",
|
150 |
+
"SELECT awardnumber, awarddate, award, office, department_ind_agency, awardee FROM contract_data WHERE awardee IS NOT NULL AND award IS NOT NULL AND popcity IS NOT NULL AND award > 100000000 LIMIT 10;",
|
151 |
+
"SELECT awardee, CONCAT('$', ROUND(SUM(award), 0)) AS sum_award FROM contract_data GROUP BY awardee ORDER BY SUM(award) DESC LIMIT 25"
|
152 |
+
]
|
153 |
+
|
154 |
+
example_dropdown = gr.Dropdown(
|
155 |
+
label="Select an Example Query",
|
156 |
+
choices=example_queries,
|
157 |
+
value=example_queries[0],
|
158 |
+
interactive=True
|
159 |
+
)
|
160 |
|
161 |
+
# Copy Button for Example Queries
|
162 |
+
with gr.Row():
|
163 |
+
btn_load_example = gr.Button("Load Example", variant="primary")
|
164 |
+
btn_copy_example = gr.Button("Copy Query", variant="secondary")
|
165 |
+
|
166 |
+
# User Input
|
167 |
query_input = gr.Textbox(
|
168 |
label="Your Query",
|
169 |
placeholder='e.g., "What are the total awards over 1M in California?"',
|
170 |
+
lines=2
|
171 |
)
|
172 |
|
173 |
+
# Generate and Execute Buttons
|
174 |
+
with gr.Row():
|
175 |
+
btn_generate_sql = gr.Button("Generate SQL Query", variant="primary")
|
176 |
+
btn_execute_query = gr.Button("Execute Query", variant="secondary")
|
177 |
+
|
178 |
+
# SQL Query Output with Copy Button
|
179 |
+
with gr.Row():
|
180 |
+
sql_query_out = gr.Code(label="Generated SQL Query", language="sql", interactive=False)
|
181 |
+
btn_copy_sql = gr.Button("Copy SQL", variant="secondary")
|
182 |
+
|
183 |
+
# Error Output
|
184 |
+
error_out = gr.Markdown("", visible=False, elem_id="error-output")
|
185 |
+
|
186 |
+
# Copy Button for Results
|
187 |
+
with gr.Row():
|
188 |
+
btn_copy_results = gr.Button("Copy Results", variant="secondary")
|
189 |
+
|
190 |
with gr.Column(scale=2):
|
191 |
+
# Results Dataframe
|
192 |
+
results_out = gr.Dataframe(label="Query Results", interactive=False, height=400)
|
193 |
|
194 |
+
# Dataset Schema Tab
|
195 |
with gr.Tab("Dataset Schema"):
|
196 |
+
with gr.Accordion("View Schema Details", open=True):
|
197 |
+
schema_display = gr.JSON(label="Schema", value=get_schema(), interactive=False)
|
198 |
+
|
199 |
+
# Footer
|
200 |
+
gr.HTML(f"""
|
201 |
+
<div class="footer">
|
202 |
+
<p>© 2024 Your Company Name. All rights reserved.</p>
|
203 |
+
</div>
|
204 |
+
""")
|
205 |
|
206 |
# =========================
|
207 |
# Event Functions
|
208 |
# =========================
|
209 |
|
210 |
def generate_sql(nl_query):
|
211 |
+
if not nl_query.strip():
|
212 |
+
return "", "Please enter a valid query.", None
|
213 |
sql_query, error = parse_query(nl_query)
|
214 |
+
if error:
|
215 |
+
return "", error, None
|
216 |
+
return sql_query, "", None
|
217 |
|
218 |
def execute_query(sql_query):
|
219 |
+
if not sql_query.strip():
|
220 |
+
return None, "No SQL query to execute."
|
221 |
result_df, error = execute_sql_query(sql_query)
|
222 |
+
if error:
|
223 |
+
return None, error
|
224 |
+
return result_df, ""
|
225 |
|
226 |
+
def load_example(example_query):
|
227 |
if example_query.strip().upper().startswith("SELECT"):
|
228 |
sql_query = example_query
|
229 |
result_df, error = execute_sql_query(sql_query)
|
230 |
+
if error:
|
231 |
+
return "", error, None
|
232 |
+
return sql_query, "", result_df
|
233 |
else:
|
234 |
sql_query, error = parse_query(example_query)
|
235 |
if error:
|
236 |
+
return "", error, None
|
237 |
result_df, exec_error = execute_sql_query(sql_query)
|
238 |
+
if exec_error:
|
239 |
+
return sql_query, exec_error, None
|
240 |
+
return sql_query, "", result_df
|
241 |
+
|
242 |
+
def copy_text(text):
|
243 |
+
return text # Gradio handles the copy functionality internally
|
244 |
|
245 |
# =========================
|
246 |
# Button Click Event Handlers
|
247 |
# =========================
|
248 |
|
249 |
+
# Load Example Query
|
250 |
+
btn_load_example.click(
|
251 |
+
fn=load_example,
|
252 |
+
inputs=example_dropdown,
|
253 |
+
outputs=[sql_query_out, error_out, results_out],
|
254 |
+
show_progress=True
|
255 |
+
)
|
256 |
+
|
257 |
+
# Copy Example Query to Input
|
258 |
+
btn_copy_example.click(
|
259 |
+
fn=lambda x: x,
|
260 |
+
inputs=example_dropdown,
|
261 |
+
outputs=query_input
|
262 |
+
)
|
263 |
+
|
264 |
+
# Generate SQL Query
|
265 |
btn_generate_sql.click(
|
266 |
fn=generate_sql,
|
267 |
inputs=query_input,
|
268 |
+
outputs=[sql_query_out, error_out, results_out],
|
269 |
+
show_progress=True
|
270 |
)
|
271 |
|
272 |
+
# Execute SQL Query
|
273 |
btn_execute_query.click(
|
274 |
fn=execute_query,
|
275 |
inputs=sql_query_out,
|
276 |
+
outputs=[results_out, error_out],
|
277 |
+
show_progress=True
|
278 |
)
|
279 |
|
280 |
+
# Copy SQL Query
|
281 |
+
btn_copy_sql.click(
|
282 |
+
fn=copy_text,
|
283 |
+
inputs=sql_query_out,
|
284 |
+
outputs=None,
|
285 |
+
_js="(text) => { navigator.clipboard.writeText(text); }"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
286 |
)
|
287 |
|
288 |
+
# Copy Results
|
289 |
+
btn_copy_results.click(
|
290 |
+
fn=lambda df: df.to_csv(index=False),
|
291 |
+
inputs=results_out,
|
292 |
+
outputs=None,
|
293 |
+
_js="""
|
294 |
+
(csv) => {
|
295 |
+
navigator.clipboard.writeText(csv).then(function() {
|
296 |
+
alert('Results copied to clipboard!');
|
297 |
+
}, function(err) {
|
298 |
+
alert('Could not copy results: ', err);
|
299 |
+
});
|
300 |
+
}
|
301 |
+
"""
|
302 |
+
)
|
303 |
|
304 |
+
# Launch the Gradio App with a larger server timeout and allow queueing
|
305 |
+
demo.launch(server_name="0.0.0.0", server_port=7860, debug=True)
|