Upload 3 files
Browse files- app.py +111 -0
- requirements.txt +3 -0
- students.db +0 -0
app.py
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from dotenv import 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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load_dotenv()
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env_var = os.getenv('GOOGLE_API_KEY')
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if env_var is None:
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raise EnvironmentError("GOOGLE_API_KEY not found in environment variables.")
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genai.configure(api_key=env_var)
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def get_gemini_response(question, prompt):
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try:
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# Initialize the generative model
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model = genai.GenerativeModel("gemini-pro")
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# Generate content using the model
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response = model.generate_content(prompt + question)
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# Return the response text
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return response.text
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except genai.api_core.exceptions.GoogleAPICallError as e:
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print(f"A Google API call error occurred: {e}")
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return None
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except genai.api_core.exceptions.RetryError as e:
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print(f"A retry error occurred: {e}")
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return None
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except Exception as e:
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print(f"An unexpected error occurred: {e}")
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return None
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# Function to retrieve query from database
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def read_sql_query(sql, db):
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try:
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con = sqlite3.connect(db)
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cur = con.cursor()
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cur.execute(sql)
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rows = cur.fetchall()
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except sqlite3.Error as e:
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print(f"An error occurred: {e}")
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rows = []
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finally:
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if con:
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con.close()
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return rows
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prompt = """
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You are an expert in converting complex English questions to SQL queries!
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The SQL database has the name STUDENTS and has the following columns - NAME, CLASS, LEVEL, 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 something like this: SELECT COUNT(*) FROM STUDENTS;
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Example 2 - List all student names.
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The SQL command will be something like this: SELECT NAME FROM STUDENTS;
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Example 3 - Find the number of students in each class.
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The SQL command will be something like this: SELECT CLASS, COUNT(*) FROM STUDENTS GROUP BY CLASS;
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Example 4 - Retrieve all information for students in level 'LEVEL 100'.
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The SQL command will be something like this: SELECT * FROM STUDENTS WHERE LEVEL = 'LEVEL 100';
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Example 5 - Get the names of students in class 'AI'.
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The SQL command will be something like this: SELECT NAME FROM STUDENTS WHERE CLASS = 'AI';
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Example 6 - Count the number of students in level 'LEVEL 300'.
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The SQL command will be something like this: SELECT COUNT(*) FROM STUDENTS WHERE LEVEL = 'LEVEL 300';
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Example 7 - Find the average marks of students in each class.
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The SQL command will be something like this: SELECT CLASS, AVG(MARKS) FROM STUDENTS GROUP BY CLASS;
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Example 8 - Retrieve the names and marks of students who have marks greater than 90.
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The SQL command will be something like this: SELECT NAME, MARKS FROM STUDENTS WHERE MARKS > 90;
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Example 9 - List the names of students in 'Data Science' class and 'Level 100'.
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The SQL command will be something like this: SELECT NAME FROM STUDENTS WHERE CLASS = 'Data Science' AND LEVEL = 'Level 100';
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Example 10 - Find the student with the highest marks.
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The SQL command will be something like this: SELECT NAME, MARKS FROM STUDENTS WHERE MARKS = (SELECT MAX(MARKS) FROM STUDENTS);
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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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st.set_page_config(page_title="I Can 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 is clicked
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if submit:
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response = get_gemini_response(question, prompt)
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if response:
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print(response)
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try:
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response = read_sql_query(response, "students.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.write(row)
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except (sqlite3.OperationalError, sqlite3.IntegrityError) as e:
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st.error(f"A database error occurred: {e}")
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except Exception as e:
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st.error(f"An unexpected error occurred while executing the SQL query: {e}")
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else:
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st.error("Failed to generate a valid SQL query.")
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requirements.txt
ADDED
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@@ -0,0 +1,3 @@
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+
streamlit
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+
python-dotenv
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+
google-generativeai
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students.db
ADDED
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Binary file (8.19 kB). View file
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