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Update app.py
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app.py
CHANGED
@@ -6,10 +6,9 @@ from functools import lru_cache
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import pandas as pd
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import plotly.express as px
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import os
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from openai import OpenAI
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# Set OpenAI API key
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# =========================
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# Configuration and Setup
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@@ -84,13 +83,13 @@ async def parse_query(nl_query):
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]
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try:
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response =
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model="gpt-
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messages=messages,
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temperature=0,
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max_tokens=150,
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)
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sql_query = response
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return sql_query
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except Exception as e:
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return f"Error generating SQL query: {e}"
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@@ -169,9 +168,12 @@ with gr.Blocks() as demo:
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## Instructions
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1. **Describe the data you want**: e.g., `Show awards over 1M in CA`
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2. **
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3. **
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4. **
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""")
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with gr.Tabs():
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with gr.Row():
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with gr.Column(scale=1):
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query = gr.Textbox(label="Natural Language Query", placeholder='e.g., "Awards > 1M in CA"')
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btn_generate = gr.Button("Generate SQL")
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sql_out = gr.Code(label="Generated SQL Query", language="sql")
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plot_code_out = gr.Code(label="Generated Plot Code", language="python")
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@@ -219,6 +230,50 @@ with gr.Blocks() as demo:
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else:
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return result_df, None, ""
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btn_generate.click(fn=on_generate_click, inputs=query, outputs=[sql_out, plot_code_out])
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btn_execute.click(fn=on_execute_click, inputs=[sql_out, plot_code_out], outputs=[results_out, plot_out, error_out])
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import pandas as pd
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import plotly.express as px
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import os
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# Set OpenAI API key
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openai.api_key = os.getenv("OPENAI_API_KEY")
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# =========================
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# Configuration and Setup
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]
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try:
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response = await openai.ChatCompletion.acreate(
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model="gpt-4",
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messages=messages,
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temperature=0,
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max_tokens=150,
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)
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sql_query = response['choices'][0]['message']['content'].strip()
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return sql_query
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except Exception as e:
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return f"Error generating SQL query: {e}"
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## Instructions
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1. **Describe the data you want**: e.g., `Show awards over 1M in CA`
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2. **Use Example Queries**: Click on any example query button below to execute.
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3. **Generate SQL**: Or, enter your own query and click "Generate SQL" to see the SQL query.
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4. **Execute Query**: Run the query to view results and plots.
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5. **Dataset Schema**: See available columns and types in the "Schema" tab.
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## Example Queries
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""")
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with gr.Tabs():
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with gr.Row():
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with gr.Column(scale=1):
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query = gr.Textbox(label="Natural Language Query", placeholder='e.g., "Awards > 1M in CA"')
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# Example query buttons
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gr.Markdown("### Click on an example query:")
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with gr.Row():
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btn_example1 = gr.Button("Show awards over 1M in CA")
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btn_example2 = gr.Button("List all contracts in New York")
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btn_example3 = gr.Button("Show top 5 departments by award amount")
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btn_example4 = gr.Button("Execute: SELECT * from contract_data LIMIT 10;")
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btn_generate = gr.Button("Generate SQL")
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sql_out = gr.Code(label="Generated SQL Query", language="sql")
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plot_code_out = gr.Code(label="Generated Plot Code", language="python")
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else:
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return result_df, None, ""
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# Functions for example query buttons
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async def on_example_nl_click(query_text):
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sql_query, plot_code = await generate_sql_and_plot_code(query_text)
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result_df, error_msg = execute_query(sql_query)
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fig = None
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if error_msg:
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return sql_query, plot_code, None, None, error_msg
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if plot_code.strip():
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fig, plot_error = generate_plot(plot_code, result_df)
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if plot_error:
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error_msg = plot_error
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else:
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error_msg = ""
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else:
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fig = None
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error_msg = ""
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return sql_query, plot_code, result_df, fig, error_msg
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def on_example_sql_click(sql_query):
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result_df, error_msg = execute_query(sql_query)
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fig = None
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plot_code = ""
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if error_msg:
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return sql_query, plot_code, None, None, error_msg
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else:
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return sql_query, plot_code, result_df, fig, ""
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async def on_example1_click():
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return await on_example_nl_click("Show awards over 1M in CA")
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async def on_example2_click():
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return await on_example_nl_click("List all contracts in New York")
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async def on_example3_click():
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return await on_example_nl_click("Show top 5 departments by award amount")
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def on_example4_click():
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return on_example_sql_click("SELECT * from contract_data LIMIT 10;")
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btn_example1.click(fn=on_example1_click, inputs=[], outputs=[sql_out, plot_code_out, results_out, plot_out, error_out])
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btn_example2.click(fn=on_example2_click, inputs=[], outputs=[sql_out, plot_code_out, results_out, plot_out, error_out])
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btn_example3.click(fn=on_example3_click, inputs=[], outputs=[sql_out, plot_code_out, results_out, plot_out, error_out])
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btn_example4.click(fn=on_example4_click, inputs=[], outputs=[sql_out, plot_code_out, results_out, plot_out, error_out])
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btn_generate.click(fn=on_generate_click, inputs=query, outputs=[sql_out, plot_code_out])
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btn_execute.click(fn=on_execute_click, inputs=[sql_out, plot_code_out], outputs=[results_out, plot_out, error_out])
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