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from dotenv import load_dotenv |
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load_dotenv() |
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import streamlit as st |
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import google.generativeai as genai |
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import sqlite3 |
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import os |
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) |
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model=genai.GenerativeModel('gemini-pro') |
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prompt=[ |
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""" |
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You are an expert in converting English questions to SQL query! |
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The SQL database has the name STUDENT and has the following columns - NAME, CLASS, |
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SECTION \n\nFor example,\nExample 1 - How many entries of records are present?, |
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the SQL command will be something like this SELECT COUNT(*) FROM STUDENT ; |
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\nExample 2 - Tell me all the students studying in Data Science class?, |
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the SQL command will be something like this SELECT * FROM STUDENT |
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where CLASS="Data Science"; |
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\nExample 3-i marks should be greater 40 and atleast 2 person have score above 40 , retrive that class |
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the SQL command will be something like this SELECT CLASS FROM STUDENT GROUP BY CLASS HAVING COUNT(*) >= 2 AND AVG(MARKS) > 50; |
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\nExample 4-Find the names and marks of students in the Science class who have scored more than 60 marks. |
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SQL Command Example: SELECT NAME, MARKS FROM STUDENT WHERE CLASS='Science' AND MARKS > 60; |
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\nExample 5-List the classes with the highest average marks. |
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SQL Command Example: SELECT CLASS FROM STUDENT GROUP BY CLASS HAVING AVG(MARKS) = (SELECT MAX(AVG(MARKS)) FROM STUDENT GROUP BY CLASS); |
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also the sql code should not have ``` in beginning or end and sql word in output and |
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""" |
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] |
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def gemini_sql_query(prompt,input): |
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response=model.generate_content([prompt[0],input]) |
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return response.text |
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def read_sql_query(sql,db): |
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conn=sqlite3.connect(db) |
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cursor=conn.cursor() |
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cursor.execute(sql) |
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rows=cursor.fetchall() |
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conn.commit() |
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conn.close() |
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for row in rows: |
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print(row) |
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return rows |
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st.set_page_config("DataChat: Explore Your Database") |
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st.header("DataChat: Chat With SQL Database") |
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question=st.text_input("Enter your input/question") |
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table_name = st.text_input("Enter the correct table name") |
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input=f"{question} in {table_name} table" |
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def save_uploaded_file(uploaded_file): |
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file_path = os.path.join(os.getcwd(), "uploaded.db") |
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with open(file_path, "wb") as f: |
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f.write(uploaded_file.getbuffer()) |
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return file_path |
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st.sidebar.header("Database Upload") |
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uploaded_file = st.sidebar.file_uploader("Upload SQLite Database", type=["db"]) |
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if uploaded_file is not None: |
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db_path = save_uploaded_file(uploaded_file) |
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st.sidebar.success("Database uploaded successfully.") |
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submit=st.button("submit") |
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if submit and uploaded_file and input: |
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query=gemini_sql_query(prompt,input) |
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response=read_sql_query(query,db_path) |
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print(query) |
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col1, col2 = st.columns(2) |
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with col1: |
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st.header("Response:") |
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for row in response: |
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values = [str(value) for value in row] |
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st.write(*values) |
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with col2: |
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st.header("Generated SQL Query:") |
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with st.container(height=300): |
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st.code(query) |
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