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from dotenv import load_dotenv | |
load_dotenv() ## load all the environment variables | |
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 and provide queries as response | |
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 column - NAME, CLASS, SECTION | |
\n\n For example, \nExample 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 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 begining or end and sql word in output | |
""" | |
] | |
## SetUp streamlit App | |
st.set_page_config(page_title="I can Retrieve Any SQL query") | |
st.header("Gemini App to Retrieve SQL query") | |
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) | |