Team Ai
Apppublic

HuggingT1M/Text2SQL_GenAI

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes
app.py68 linesDownload Raw Back to root
1from dotenv import load_dotenv
2load_dotenv() ## load all the environment variables
3
4import streamlit as st
5import os
6import sqlite3
7
8import google.generativeai as genai
9## Configure Genai Key
10
11genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
12
13## Function To Load Google Gemini Model and provide queries as response
14
15def get_gemini_response(question,prompt):
16    model=genai.GenerativeModel('gemini-pro')
17    response=model.generate_content([prompt[0],question])
18    return response.text
19
20## Function To retrieve query from the database
21
22def read_sql_query(sql,db):
23    conn=sqlite3.connect(db)
24    cur=conn.cursor()
25    cur.execute(sql)
26    rows=cur.fetchall()
27    conn.commit()
28    conn.close()
29    for row in rows:
30        print(row)
31    return rows
32
33## Define Your Prompt
34prompt=[
35    """
36    You are an expert in coverting English questions to SQL code!
37    The SQL database has the name STUDENT and has the following columns - NAME, CLASS,
38    SECTION \n\nFor example, \nExample 1 - How many entries of records are present?,
39    the SQL command will be something like this SELECT COUNT(*) FROM STUDENT ;
40    \nExample 2 - Tell me all the students studying in Data Science class?,
41    the SQL command will be something like this SELECT * FROM STUDENT where CLASS="Data Science" ;
42    also the sql code should not have ``` beginning or end and sql word in output
43    
44    """
45    
46    
47    
48]
49
50## Streamlit App
51
52st.set_page_config(page_title="I can Retrieve Any SQL query")
53st.header("Gemini App To Retrieve SQL Data")
54
55question=st.text_input("Input: ", key="input")
56
57submit=st.button("Ask the question")
58
59# if submit is clicked
60if submit:
61    response=get_gemini_response(question,prompt)
62    print(response)
63    response=read_sql_query(response,"student.db")
64    st.subheader("The response is")
65    for row in response:
66        print(row)
67        st.header(row)
68