File size: 1,825 Bytes
7e8eba4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | from dotenv import load_dotenv
load_dotenv() ## load all the env valriable
import streamlit as st
import os
import sqlite3
import google.generativeai as genai
## configure genai key
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
## function to load google gemini model
def get_gemini_response(question,prompt):
model = genai.GenerativeModel('gemini-pro')
response=model.generate_content([prompt[0],question])
return response.text
## function to retrive query from the 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
## define prompt
prompt=[
"""
You are an expert in connecting English questions to SQL query!
The SQL database has the name Student and has the following columns - Name, Class,
Section \n\nFor example,\nExample 1 - How many entries of records are present?,
the SQL command will be something like this SELECT COUNT(*) FROM Student ;
\nExample 2 - Tell me all the students studying in DS class?,
the SQL command will be something like this SELECT * FROM Student
where Class="DS";
also the sql code should not have ``` in beginning or end and sql word in output
"""
]
## streamlit app
st.set_page_config(page_title="I can retrive any SQL query")
st.header("Gemini App To Retrive SQL Data")
question=st.text_input("Input: ",key="input")
submit=st.button("Ask the question")
## if submit is clicked
if submit:
response=get_gemini_response(question,prompt)
print(response)
response = read_sql_query(response, "student.db")
st.subheader("The response is")
for row in response:
print(row)
st.header(row)
|