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laxminarasimha6
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6e5a30a
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Parent(s):
8a6f366
Create app.py
Browse files
app.py
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from dotenv import load_dotenv
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import streamlit as st
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import os
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import sqlite3
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import google.generativeai as genai
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# Configure API key
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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def get_gemini_response(question, prompt):
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model = genai.GenerativeModel('gemini-pro')
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response = model.generate_content([prompt[0], question])
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return response.text.strip()
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def read_sql_query(sql, db):
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conn = sqlite3.connect(db)
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cur = conn.cursor()
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cur.execute(sql)
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rows = cur.fetchall()
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conn.commit()
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conn.close()
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return rows
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# Prompt for the application
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prompt = [
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"""
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You are an expert in converting English questions to SQL query!
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The SQL database has the name STUDENT and has the following columns - NAME, CLASS,
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SECTION \n\nFor example,\nExample 1 - How many entries of records are present?,
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the SQL command will be something like this SELECT COUNT(*) FROM STUDENT ;
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\nExample 2 - Tell me all the students studying in Data Science class?,
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the SQL command will be something like this SELECT * FROM STUDENT
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where CLASS="Data Science";
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"""
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]
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# Streamlit app
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st.set_page_config(page_title="Text to SQL Query Converter")
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st.title("Text to SQL Query Converter")
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# User input
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question = st.text_input("Enter your question:", key="input")
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# Submit button
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if st.button("Convert to SQL Query"):
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if not question:
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st.error("Please enter a question.")
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else:
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# Generate SQL query from the question
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sql_query = get_gemini_response(question, prompt)
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st.write("SQL Query:")
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st.code(sql_query)
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# Execute the SQL query and display results
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try:
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results = read_sql_query(sql_query, "student.db")
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if results:
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st.success("Query executed successfully. Results:")
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st.table(results)
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else:
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st.warning("No results found.")
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except Exception as e:
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st.error(f"An error occurred: {e}")
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