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app.py

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+from dotenv  import load_dotenv
+load_dotenv()
+
+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
+
+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
+
+#Defining prompt
+
+prompt=[
+    """
+    You are an expert in converting English questions to SQL query!
+    The SQL database has the name EMPLOYEE and has the following columns - NAME, TEAM, 
+    DOMAIN \n\nFor example,\nExample 1 - How many entries of records are present?, 
+    the SQL command will be something like this SELECT COUNT(*) FROM EMPLOYEE ;
+    \nExample 2 - Tell me all the employees working in MLOPS team?, 
+    the SQL command will be something like this SELECT * FROM EMPLOYEE 
+    where TEAM="MLOPS"; 
+    also the sql code should not have ``` in beginning or end and sql word in output
+
+    """
+
+
+]
+
+#streamlit Application
+
+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 button is clicked
+
+if submit:
+    response = get_gemini_response(question,prompt)
+    print(response)
+    response = read_sql_query(response,"employee.db")
+    st.subheader("THE RESPONSE IS")
+    for row in response:
+        print(row)
+        st.header(row)
+    

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv