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Parent(s):
5e89e08
Create app.py
Browse files
app.py
ADDED
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import random
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import time
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import gradio as gr
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from create_query_engine import *
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logo_filepath = 'Readable.png'
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robot_filepath = 'Robot.png'
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custom_css = """
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.column {
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align-items: center;
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}
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.column_el {
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flex-grow: 1;
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}
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"""
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def respond(message, chat_history, query_engine, sql_engine):
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response = query_engine.query(message)
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bot_message = response.response
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chat_history.append((message, bot_message))
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time.sleep(2)
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return "", chat_history, display_question_and_answer(chat_history), query(sql_engine, response.metadata['sql_query']), response.metadata['sql_query']
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def display_question_and_answer(tuple_list):
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qa_history = ""
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for i, (q, a) in enumerate(tuple_list):
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qa_history += f"<details><summary>Q: {q}</summary><p>A: {a}</p></details>"
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return qa_history
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with gr.Blocks(css=custom_css) as demo:
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with gr.Tab("Home"):
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with gr.Row(variant='compact'):
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with gr.Column(scale=1, elem_classes='column'):
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logo = gr.Image(value=logo_filepath, type='pil', show_label=False, show_download_button=False, container=False, elem_classes='column_el')
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agent = gr.State()
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file = gr.File(file_types=['pdf'], file_count='single', show_label=False, elem_classes='column_el', height=75)
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SQLidx = gr.State()
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sql_engine = gr.State()
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# Connect to database + give context pane
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with gr.Accordion("Command String Details"):
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gr.Markdown("Enter command string details here")
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with gr.Row():
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user = gr.Textbox(value='postgres', label="Username")
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password = gr.Textbox(value='aimfall23',label="Password")
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with gr.Row():
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host = gr.Textbox(value='aim-23-text-to-sql.cv6cnzb0rcuo.us-east-1.rds.amazonaws.com',label="Host")
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port = gr.Textbox(value='5432', label="Port")
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myDB = gr.Textbox(value='sample_db', label="mydatabase")
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upload_status = gr.Textbox(value="Database not connected yet", label="Connect Status")
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submit_SQL_btn = gr.Button("Submit postgre details")
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submit_SQL_btn.click(fn=create_query_engine, inputs = [file, user, password, host, port, myDB], outputs=[SQLidx, sql_engine, upload_status])
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robot = gr.Image(value=robot_filepath, type='pil', show_label=False, show_download_button=False, container=False, width=125, height=125, elem_classes='column_el')
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with gr.Column(scale=3, elem_classes='column'):
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df = gr.Dataframe()
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chatbot = gr.Chatbot(elem_classes='column_el')
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msg = gr.Textbox(show_label=False, elem_classes='column_el')
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with gr.Accordion("Executed SQL Query"):
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sql_statement = gr.Textbox(label="", lines=5)
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with gr.Tab("Chat History"):
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history = gr.HTML()
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msg.submit(respond, [msg, chatbot, SQLidx, sql_engine], [msg, chatbot, history, df, sql_statement])
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demo.launch()
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