Upload 3 files

app.py

@@ -0,0 +1,70 @@
+from dotenv import load_dotenv
+load_dotenv() #load all the env 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
+
+## 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
+
+## 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,S​​ECTION 
+    \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 en​​d and sql word in output
+
+    """ 
+]
+
+## Streamlit APP
+
+st.set_page_config(page_title="Student Data Retrieval")
+st.header("Provide prompts based on the :red[student data]")
+st.subheader(":blue[to get best output] :lower_left_fountain_pen:", divider=True )
+st.subheader("Try using - 'Tell me the student name with highest rank and provide his marks' ")
+
+questions = st.text_input("Input: ",key="input")
+
+submit = st.button("Ask the questions")
+
+
+# if submit is clicked
+if submit:
+    response = get_gemini_response(questions,prompt)
+    print(response)
+    response = read_sql_query(response,"student.db")
+    st.subheader("The response is")
+    for row in response:
+        print(row)
+        st.header(row)
+

requirements.txt

@@ -0,0 +1,4 @@
+streamlit
+google-generativeai
+python-dotenv
+