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# from dotenv import load_dotenv
# load_dotenv() ## load all the environemnt variables
import streamlit as st
import os
import sqlite3
import google.generativeai as genai
import os
# Configure GenAI Key directly using environment variable or fallback to a hardcoded key
API_KEY = os.getenv("GOOGLE_API_KEY", "AIzaSyCOAMr9QxGUHwUO70hyHQSghHxFgtNyPsg")
genai.configure(api_key=API_KEY)
# Function To Load Google Gemini Model and provide queries as response
def get_gemini_response(question, prompt):
response = genai.generate_content([prompt, question])
return response.text
## 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
## Fucntion 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\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 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 Retrieve Any SQL query")
st.header("SQL Data Retrieve")
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) |