Create app.py

app.py

@@ -1,67 +1,4 @@
-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
-## 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
-
-## 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 BARADARI 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 BARADARI ;
-    \nExample 2 - Tell me all the people studying in Data Science class?, 
-    the SQL command will be something like this SELECT * FROM BARADARI 
-    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("Gemini App To Retrieve SQL Data")
-
-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,"baradari.db")
-    st.subheader("The Response is")
-    for row in response:
-        print(row)
-        st.header(row)
+x = st.slider('Select a value')
+st.write(x, 'squared is', x * x)