File size: 1,679 Bytes
d44af81 |
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 |
from dotenv import load_dotenv
load_dotenv()
import streamlit as st
import os
import sqlite3
import google.generativeai as genai
#configure API key
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
#Load gemini model
def get_gemini_response(question,prompt):
model = genai.GenerativeModel('gemini-pro')
response = model.generate_content([prompt[0],question])
return response.text
def read_sql_query(query,db):
conn = sqlite3.connect(db)
cur = conn.cursor()
cur.execute(query)
rows = cur.fetchall()
conn.commit()
conn.close()
for row in rows:
print(row)
return rows
#Prompt definition
prompt = [
"""
You are an expert in converting English questions to SQL code!
The SQL database has the name STUDENT and the following columns - NAME , CLASS , SECTION\n\n
For example,\n Example 1 - How many entries of records are present?,
the SQL command will be something like this SELECT COUNT(* FROM STUDENT;
\n Example 2 - Tell me all the students studying in AI class?,
the SQL command will be something like this SELECT * FROM STUDENT WHERE CLASS = "AI";
also the sql code should not have ``` in the beginning or end and sql word in output
"""
]
#Streamlit app
st.set_page_config(page_title="I can retreive any SQL query")
st.header("Gemini App to retrieve any 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) |