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from dotenv import load_dotenv |
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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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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 |
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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 = [ |
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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 COMPANY and has the following columns - FIRST_NAME, LAST_NAME, DEPT, |
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SALARY, AGE \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 COMPANY ; |
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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 COMPANY |
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where DEPT="Data Science"; |
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also the sql code should not have ``` in beginning or end and sql word in output |
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""" |
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] |
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st.set_page_config(page_title="Retrieve Any SQL query") |
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st.header("App To Generate SQL & Data") |
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question = st.text_input("Input: ", key="input") |
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submit = st.button("Ask the question") |
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if submit: |
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response = get_gemini_response(question, prompt) |
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st.subheader("Generated SQL Query") |
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st.code(response, language='sql') |
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try: |
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data = read_sql_query(response, "COMPANY.db") |
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st.subheader("The Response is") |
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for row in data: |
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st.write(row) |
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except sqlite3.Error as e: |
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st.error(f"Error: {e}") |
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