File size: 1,811 Bytes
011f2dc |
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()
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 retrieve 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 Your prompt
prompt=[
"""
You are an expert in converting English questions to SQL query.
The SQL database has the name STUDENT and has the following columns - NAME, CLASS, SECTION \n\n
For example, \nExample1 - 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 Data Science class?,
the SQL command will be something like this SELECT * FROM STUDENT where CLASS="Data Science" ;
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 Retreive Any SQL query")
st.header("Text to SQL query App")
question=st.text_input("Input: ", key="input")
submit=st.button("Ask the question")
# if submit is clicked
if submit:
query=get_gemini_response(question,prompt)
st.subheader("The SQL query is")
st.text(query)
response=read_sql_query(query, 'student.db')
st.subheader("The response is")
for row in response:
print(row)
st.text(row)
|