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app.py

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+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 COMPANY and has the following columns - FIRST_NAME, LAST_NAME,DEPT, 
+    SALARY,AGE \n\nFor example,\nExample 1 - How many entries of records are present?, 
+    the SQL command will be something like this SELECT COUNT(*) FROM COMPANY ;
+    \nExample 2 - Tell me all the students studying in Data Science class?, 
+    the SQL command will be something like this SELECT * FROM company 
+    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="Retrieve Any SQL query")
+st.header("App To Generate 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)
+    st.subheader("Generated SQL Query")
+    st.code(response, language='sql')
+    data=read_sql_query(response,"company.db")
+    st.subheader("The Response is")
+    for row in data:
+        #print(row)
+        st.write(row)
+
+
+
+
+
+
+
+
+

requirements.txt

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+streamlit
+google-generativeai
+python-dotenv
+langchain
+PyPDF2
+chromadb
+faiss-cpu
+pdf2image
+sqlite3

sqlite.py

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+import sqlite3
+
+#Connect to SQlite
+connection=sqlite3.connect("COMPANY.db")
+
+# Create a cursor object to insert record,create table
+
+cursor=connection.cursor()
+
+## create the table
+table_info="""
+Create table COMPANY(FIRST_NAME VARCHAR(25),LAST_NAME VARCHAR(25),DEPT VARCHAR(25),
+SALARY VARCHAR(25),AGE INT);
+
+"""
+cursor.execute(table_info)
+
+## Insert Some more records
+
+cursor.execute('''Insert Into COMPANY values('Jaya', 'Chandran','Data Science','$1000',35)''')
+cursor.execute('''Insert Into COMPANY values('Karthy','R','DEVOPS','$900',33)''')
+cursor.execute('''Insert Into COMPANY values('Anbu', 'Alagan','AEM','$800',33)''')
+cursor.execute('''Insert Into COMPANY values('Sivam','Sivam','DEVOPS','$1000',30)''')
+cursor.execute('''Insert Into COMPANY values('Mani','Ratam','Data Science','$500',20)''')
+cursor.execute('''Insert Into COMPANY values('Kasi','Nathan','Security','$400',23)''')
+cursor.execute('''Insert Into COMPANY values('Ravi','Kumar','.Net','$150',25)''')
+
+## Disspaly All the records
+
+print("The inserted records are")
+data=cursor.execute('''Select * from COMPANY''')
+for row in data:
+    print(row)
+
+## Commit your changes int he databse
+connection.commit()
+connection.close()