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from dotenv import load_dotenv
load_dotenv()#take environment variables from .env.
import streamlit as st
import os
import sqlite3
import google.generativeai as genai
#Configure genAi key
genai.configure(api_key=os.getenv("GENAI_API_KEY"))
#Function to load Google Gemini Model
def get_gemini_Response(question,promopt):
model=genai.GenerativeModel("gemini-pro")
response=model.generate_content([promopt[0],question])
return response.text
## function to retrive query form the db
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)
st.write(row)
return rows
##Define Your Prompt
prompt=[
"""
You are an expert in a converting english questions to SQL query !
The SQL database has the name STUDENT and has the following columns - NAME,CLASS,SECTION
\n\n
Example 1- How many entries of reacords are there in the table STUDENT ?,
The sql command will be something like SELECT COUNT(*) FROM STUDENT;
\n
Example 2-tell me all the Students studying in Data Science class ?,
The sql command will be something like SELECT * FROM STUDENT where CLASS='Data Science';
also the sql code should not have ``` in the beginning and end and sql word in output
"""
]
##Streamlit APplication
st.set_page_config(page_title="SQL Query Generator",page_icon="🔍",layout="wide")
st.header("Gemini App to return SQL data from the database")
question=st.text_input("Input: ",key="input")
submit=st.button("Ask the question")
#if submit is cliked
if submit:
response = get_gemini_Response(question, prompt)
print(response)
data = read_sql_query(response, "student.db")
print(data)
st.subheader("Response is : ")
for row in data:
print(row)
st.header(row)
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