Upload 3 files
Browse files- app.py +61 -0
- requirements.txt +3 -0
- student.db +0 -0
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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#Load gemini model
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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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def read_sql_query(query,db):
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conn = sqlite3.connect(db)
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cur = conn.cursor()
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cur.execute(query)
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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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#Prompt definition
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prompt = [
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"""
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You are an expert in converting English questions to SQL code!
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The SQL database has the name STUDENT and the following columns - NAME , CLASS , SECTION\n\n
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For example,\n Example 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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\n Example 2 - Tell me all the students studying in AI class?,
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the SQL command will be something like this SELECT * FROM STUDENT WHERE CLASS = "AI";
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also the sql code should not have ``` in the 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="I can retreive any SQL query")
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st.header("Gemini App to retrieve any SQL Data")
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question = st.text_input("Input:" , key="input" )
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submit = st.button("Ask the question")
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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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response = read_sql_query(response,"student.db")
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st.subheader("The response is")
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for row in response:
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print(row)
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st.header(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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