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app.py

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+from dotenv import load_dotenv
+load_dotenv() ## Load all the environment variables
+
+import streamlit as st
+import os
+import sqlite3
+
+import google.generativeai as genai
+
+## Configure our API Key
+genai.configure(api_key=os.getenv("GOOGLE_API_KEYS"))
+
+# Function to Load Google Gemini Model and provide sql query as response
+
+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 sql 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 and MARKS \n\nFor example,\nExample 1 - How many entries of records are present?,
+    the SQL command will be something like the 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 in 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)
+    data = read_sql_query(response,"student.db")
+    st.subheader("The Response is")
+    for row in data:
+        print(row)
+        st.header(row)

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv