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from dotenv import load_dotenv
load_dotenv() #loads all the environment variables
import streamlit as st
import os
import sqlite3
import google.generativeai as genai
#configuring our API key
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
#main function
def get_gemini_response(question,prompt):
model=genai.GenerativeModel('models/gemini-1.5-flash')
response=model.generate_content([prompt[0],question])
return response.text
#function to retrieve query from sql database
def read_sql_query(sql,db):
conn=sqlite3.connect(db)
cur=conn.cursor()
cur.execute(sql)
rows=cur.fetchall()
conn.commit()
conn.close()
for row in rows:
print(row)
return rows
prompt = ["""
You are an expert at converting English questions into clean and correct SQL queries.
The SQL database has one table named STUDENT with the following columns:
BU_ID (text), NAME (text), MAJOR (text), SUBJECT (text), MARKS (integer)
Important rules:
1. Always return **only** the SQL query.
2. Do **NOT** include code block syntax (no ```sql or ```)
3. Do **NOT** add comments or explanations.
4. The SQL should start with SELECT and end with a semicolon.
5. Always use correct column names exactly as described.
Examples:
Q: How many students are there?
A: SELECT COUNT(*) FROM STUDENT;
Q: Show names of students studying ARTIFICIAL INTELLIGENCE
A: SELECT NAME FROM STUDENT WHERE SUBJECT = 'ARTIFICIAL INTELLIGENCE';
Q: Get the average marks of all students.
A: SELECT AVG(MARKS) FROM STUDENT;
Q: List all students in the COMPUTER SCIENCE major.
A: SELECT * FROM STUDENT WHERE MAJOR = 'COMPUTER SCIENCE';
"""]
st.set_page_config(page_title="I Can Retrive Any SQL Query")
st.header("Gemini App For Convertin Text to SQL Query")
question=st.text_input("Input: ", key="input")
submit=st.button("Ask the Question")
if submit:
response = get_gemini_response(question, prompt)
print(response)
data=read_sql_query(response,"student.db")
st.subheader("The Response is: ")
for row in data:
print(row)
st.header(row)