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app.py

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+from dotenv import load_dotenv
+
+load_dotenv() # load all envirnment 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
+
+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 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("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, "student.db")
+    st.subheader("The Response is")
+    for row in response:
+        print(row)
+        st.text(row)

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv