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Parent(s):
text-to-SQL
Browse files- .gitignore +1 -0
- README.md +10 -0
- app.py +71 -0
- poetry.lock +0 -0
- pyproject.toml +17 -0
- requirements.txt +3 -0
- sql.py +59 -0
- student.db +0 -0
.gitignore
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.env
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README.md
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---
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title: Text To SQL LLM App
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emoji: 👁
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colorFrom: indigo
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colorTo: pink
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sdk: streamlit
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sdk_version: 1.39.0
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app_file: app.py
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pinned: false
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---
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app.py
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import google.generativeai as genai #type:ignore
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import streamlit as st
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# importing for env variables loader
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from dotenv import load_dotenv
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import sqlite3
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import os
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load_dotenv()
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# configure our api key
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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# function to load Model and provide sql query as response
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def get_gemini_response(prompt, question):
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model = genai.GenerativeModel("gemini-1.5-flash")
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response = model.generate_content([prompt[0], question])
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return response.text
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# function to retrieve query from the sql data base
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def read_sql_query(sql, db):
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conn = sqlite3.connect(db)
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cur = conn.cursor()
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cur.execute(sql)
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rows = cur.fetchall()
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conn.commit()
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conn.close()
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for row in rows:
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print(row)
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return rows
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# definning your prompt
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prompt = [
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"""
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You are an expert in converting English questions to SQL queries!
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The SQL database has the name STUDENT and has the following columns - NAME, CLASS,
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SECTION, and MARKS.
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For Example:
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- Example 1: How many entries of records are present?
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The SQL command will be: SELECT COUNT(*) FROM STUDENT;
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- Example 2: Tell me all the students studying in Data Science class?
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The SQL command will be: SELECT * FROM STUDENT WHERE CLASS="Data Science";
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Provide the clean query that can be executed on the database without using any backticks or additional characters.
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The SQL command should not include any formatting characters or the word "SQL".
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"""
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]
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# also the SQL code should not have ''' in biggining or end and sql word in output.
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# streamlit app
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st.set_page_config(page_title="retrieve sql queryF")
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st.header(" Gemini App to Retrieve SQL Data")
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user_question = st.text_input("input:", key="input")
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sumbit = st.button("ask the question")
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if sumbit:
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sql_query = get_gemini_response(prompt,user_question)
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print(sql_query)
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data = read_sql_query(sql_query,"student.db")
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st.subheader("The resplonse is:")
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for row in data:
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print(row)
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st.write(row)
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poetry.lock
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The diff for this file is too large to render.
See raw diff
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pyproject.toml
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[tool.poetry]
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name = "text to sql llm app"
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version = "0.1.0"
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description = ""
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authors = ["Nasir Abbas <akhtarabbas.islamicreaction@gmail.com>"]
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readme = "README.md"
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[tool.poetry.dependencies]
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python = "^3.12"
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streamlit = "^1.39.0"
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google-generativeai = "^0.8.3"
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python-dotenv = "^1.0.1"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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requirements.txt
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streamlit
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google-generativeai
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python-dotenv
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sql.py
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import sqlite3
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## conect the sql
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connection = sqlite3.connect("student.db")
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# Create a cursor object to insert record, craete table, retreeve
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cursor =connection.cursor()
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## create the table
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table_info = """
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Create table STUDENT(NAME VARCHAR(25), CLASS VARCHAR(25),
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SECTION VARCHAR(25), MARKS INT);
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"""
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cursor.execute(table_info)
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# inser some more recordes
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cursor.execute('''Insert into STUDENT values('Nasir','data Science', 'A', 90)''')
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cursor.execute('''Insert into STUDENT values('Akhtar','Generative AI', 'B', 87)''')
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cursor.execute('''Insert into STUDENT values('Asad','DEVOPS', 'A', 83)''')
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cursor.execute('''Insert into STUDENT values('Munawer','data Science', 'C', 93)''')
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cursor.execute('''Insert into STUDENT values('Muzafar','Generative AI', 'A', 83)''')
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cursor.execute('''Insert into STUDENT values('Ali','DEVOPS', 'C', 82)''')
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cursor.execute('''Insert into STUDENT values('Kashif','data Science', 'A', 79)''')
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cursor.execute('''Insert into STUDENT values('Aneela','DEVOPS', 'B', 81)''')
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cursor.execute('''Insert into STUDENT values('Danish','data Science', 'A', 78)''')
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cursor.execute('''Insert into STUDENT values('Rabia','DEVOPS', 'C', 82)''')
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cursor.execute('''Insert into STUDENT values('Khizar','Generative AI', 'A', 76)''')
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cursor.execute('''Insert into STUDENT values('Nazia','data Science', 'A', 73)''')#
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cursor.execute('''Insert into STUDENT values('Bilal','Generative AI', 'B', 72)''')
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cursor.execute('''Insert into STUDENT values('sajid','DEVOPS', 'A', 87)''')
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cursor.execute('''Insert into STUDENT values('Asif','data Science', 'C', 63)''')
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cursor.execute('''Insert into STUDENT values('Husnain','Generative AI', 'A', 98)''')
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cursor.execute('''Insert into STUDENT values('Hamza','DEVOPS', 'C', 84)''')
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cursor.execute('''Insert into STUDENT values('Ikram','data Science', 'A', 65)''')
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cursor.execute('''Insert into STUDENT values('Ramzan','DEVOPS', 'B', 78)''')
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cursor.execute('''Insert into STUDENT values('Abid','data Science', 'A', 72)''')
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cursor.execute('''Insert into STUDENT values('Jafir','DEVOPS', 'C', 81)''')
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cursor.execute('''Insert into STUDENT values('Sadiq','Generative AI', 'A', 92)''')
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## Display all the recards
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print("The inserted recards are")
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data = cursor.execute('''Select * From STUDENT''')
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for row in data:
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print(row)
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# close the connection
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connection.commit()
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connection.close()
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student.db
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Binary file (8.19 kB). View file
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