Upload 4 files
Browse files- app1.py +95 -0
- requirements.txt +3 -0
- sequalite.py +29 -0
- student.db +0 -0
app1.py
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from dotenv import dotenv_values
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dotenv_values = dotenv_values('.env')
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GOOGLE_API_KEY = dotenv_values['GOOGLE_API_KEY']
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import streamlit as st
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import os ,sys
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import sqlite3
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import google.generativeai as gen
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gen.configure(api_key=str(GOOGLE_API_KEY))
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# Connect to SQLite database
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def get_gemini_response(question,prompt):
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model= gen.GenerativeModel("gemini-pro")
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response= model.generate_content([prompt[0],question])
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return response.text
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def execute_sql_query(sql, db_name):
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try:
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# Connect to the SQLite database
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connection = sqlite3.connect(db_name)
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cursor = connection.cursor()
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# Execute the SQL query
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cursor.execute(sql)
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# Fetch all rows from the query
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rows = cursor.fetchall()
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connection.commit()
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connection.close()
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# Print the rows
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for row in rows:
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print(row)
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# Return the rows
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return rows
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except sqlite3.Error as error:
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print("Error while executing SQL query:", error)
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return "Error: " + str(error)
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finally:
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# Close the connection to the database
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if connection:
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connection.commit()
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connection.close()
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prompt = [
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'''
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I am an SQL expert system. I can convert your English queries into SQL queries and execute them on the database.
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The database contains information about students with attributes: Name, Class, and Section.
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Please enter your English query. If the query is invalid, I will let you know.
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Examples:
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- English: How many students are in the database?
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SQL: SELECT COUNT(*) FROM student;
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- English: What are the names of students in Class AIDS?
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SQL: SELECT Name FROM student WHERE Class = 'AIDS';
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- English: What is the section of student named riswan?
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SQL: SELECT Section FROM student WHERE Name = 'riswan';
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- English: How many students are in Section A?
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SQL: SELECT COUNT(*) FROM student WHERE Section = 'A';
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- English: What are the classes of students named ajmal and rayan?
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SQL: SELECT Class FROM student WHERE Name IN ('ajmal', 'rayan');
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Enter your query:
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'''
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]
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st.set_page_config(page_title ="Student DB")
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st.title("SQL Expert System")
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st.header("gemini to sql retriver")
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question = st.text_input("input -->>",key = "input")
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submit = st.button("Submit")
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if submit:
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response = get_gemini_response(question, prompt)
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print(response)
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result = execute_sql_query(response, 'student.db')
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if isinstance(result, str) and result.startswith("Error: "):
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st.error(result)
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elif result is not None:
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st.subheader("response")
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for row in result:
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st.write(row)
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st.write("\n")
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else:
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st.error("Unknown error occurred")
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requirements.txt
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google-generativeai
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streamlit
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pymongo
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sequalite.py
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@@ -0,0 +1,29 @@
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import sqlite3
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connection = sqlite3.connect("test.db")
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cursor = connection.cursor()
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table_info = """
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create table if not exists test(Name varchar(255), class varchar(255),
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section varchar(255));
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"""
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cursor.execute(table_info)
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insert = """insert into test(Name, class, section) values ('riswan', 'AIDS', 'B');"""
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insert1 = """insert into test (Name, class, section) values ('aslam', 'AIDS', 'A');"""
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insert2 = """insert into test (Name,class, section) values ('ajmal', 'ECE', 'A');"""
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insert3 = """insert into test (Name, class, section) values ('rayan', 'ECE', 'B');"""
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cursor.execute(insert)
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cursor.execute(insert1)
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cursor.execute(insert2)
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cursor.execute(insert3)
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print("inserted")
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data = cursor.execute("SELECT * FROM test")
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for row in data:
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print(row)
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connection.close()
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student.db
ADDED
Binary file (8.19 kB). View file
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