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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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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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def get_gemini_response(question,prompt):
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model=genai.GenerativeModel('gemini-pro')
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combined_prompt = prompt[0] + "\n" + question
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response = model.generate_content(combined_prompt)
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return response.text
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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 code!
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The SQL database has the name STUDENT and has the following columns-
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NAME,CLASS,SECTION,MARKS \n\n
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For example,\n
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Example 1 - How many entries of records are present?,
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the SQL command will be something like select count(*) from student;
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Example 1 - Tell me all the students from CSE class?,
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the SQL command will be something like select * from student where class="CSE";
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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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st.set_page_config(page_title="Retrieve any SQL Query")
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st.header("Gemini App to retrieve 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:
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response = get_gemini_response(question,prompt)
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print(response)
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sql_response = read_sql_query(response,"student.db")
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st.subheader("The response is:")
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for row in sql_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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