Upload 4 files
Browse files- .env +1 -0
- app.py +62 -0
- requirements.txt +3 -0
- student.db +0 -0
.env
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GOOGLE_API_KEY = "AIzaSyBBrePLC0eqi2LTVio-a7fyFKDqnoB9HdM"
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app.py
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from dotenv import load_dotenv
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load_dotenv()
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import streamlit as st
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import os
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import sqlite3
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import google.generativeai as genai
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# Configure API key
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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# Function to load Gemini model and provide sql query as response
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def get_gemini_response(question,prompt):
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model=genai.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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# Funciton to retrieve query from the sql database
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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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## Define 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 query!
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The SQL database has the name STUDENT and has the following columns - NAME, CLASS,
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SECTION \n\nFor example,\nExample 1 - How many entries of records are present?,
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the SQL command will be something like this SELECT COUNT(*) FROM STUDENT ;
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\nExample 2 - Tell me all the students studying in Data Science class?,
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the SQL command will be something like this SELECT * FROM STUDENT
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where CLASS="Data Science";
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also the sql code should not have ``` in beginning or end and sql word in output
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"""
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]
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# Streamlit app
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st.set_page_config(page_title="AskSQL")
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# App name
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st.markdown("<h4 style='text-align: center;'>AskSQL</h4>", unsafe_allow_html=True)
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# Input and submit
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question=st.text_input(" ", key="input", placeholder="Ask question from the database")
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submit=st.button("Submit")
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# If submit is clicked
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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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data=read_sql_query(response,"student.db")
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for row in data:
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formatted_row = ', '.join(map(str, row))
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st.header(formatted_row)
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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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student.db
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Binary file (8.19 kB). View file
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