Update app.py

app.py

@@ -1,67 +1,67 @@
-from dotenv import load_dotenv
-import streamlit as st
-import os
-import sqlite3
-import google.generativeai as genai
-import warnings 
-warnings.filterwarnings("ignore")
-
-# Load all the environment variables
-load_dotenv()
-
-# Configure genAI key
-genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
-
-
-# Create a function to load the Gemini model and get a response
-def get_gemini_response(query, prompt):
-    model = genai.GenerativeModel("gemini-pro")
-    response = model.generate_content([prompt[0], query])
-    print(response.text)
-    return response.text
-
-# Function to retrieve query from the database
-def read_sql_query(sql, db):
-    try:
-        connection = sqlite3.connect(db)
-        cursor = connection.cursor()
-        cursor.execute(sql)
-        rows = cursor.fetchall()
-        connection.commit()
-        for row in rows:
-            print(row)
-    except sqlite3.Error as e:
-        # st.error(f"An error occurred: {e}")
-        rows = []
-    finally:
-        connection.close()
-    return rows
-
-# Define the prompt
-prompt = ["""
-    You are an expert in converting English questions to SQL code!
-    The SQL database is named STUDENT and has the following columns: Name, Class, Section.
-    For example,
-    Example 1: How many entries of records are present?
-    The SQL command will be something like this: SELECT COUNT(*) FROM STUDENT;
-    Ensure that the SQL code in the response does not have ''' at the beginning or end of the response and does not contain the word 'sql' in the output.
-"""]
-
-# Streamlit app configuration
-st.set_page_config(page_title="Data Retrieval from SQL Database Using gemini-pro")
-st.header("Data Retrieval from SQL Database Using gemini-pro")
-
-question = st.text_input("Input your question:", key='input')
-submit = st.button("Submit")
-
-# If submit is clicked
-if submit:
-    response = get_gemini_response(question, prompt)
-    if response:
-        results = read_sql_query(response, "Student.db")
-        st.subheader("Output:")
-        if results:
-            for row in results:
-                st.write(row)
-        else:
-            st.write("No results found or an error occurred.")
+from dotenv import load_dotenv
+import streamlit as st
+import os
+import sqlite3
+import google.generativeai as genai
+import warnings 
+warnings.filterwarnings("ignore")
+
+# Load all the environment variables
+load_dotenv()
+
+# Configure genAI key
+genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
+
+
+# Create a function to load the Gemini model and get a response
+def get_gemini_response(query, prompt):
+    model = genai.GenerativeModel("gemini-pro")
+    response = model.generate_content([prompt[0], query])
+    print(response.text)
+    return response.text
+
+# Function to retrieve query from the database
+def read_sql_query(sql, db):
+    try:
+        connection = sqlite3.connect(db)
+        cursor = connection.cursor()
+        cursor.execute(sql)
+        rows = cursor.fetchall()
+        connection.commit()
+        for row in rows:
+            print(row)
+    except sqlite3.Error as e:
+        # st.error(f"An error occurred: {e}")
+        rows = []
+    finally:
+        connection.close()
+    return rows
+
+# Define the prompt
+prompt = ["""
+    You are an expert in converting English questions to SQL code!
+    The SQL database is named STUDENT and has the following columns: Name, Class, Section.
+    For example,
+    Example 1: How many entries of records are present?
+    The SQL command will be something like this: SELECT COUNT(*) FROM STUDENT;
+    Ensure that the SQL code in the response does not have ''' at the beginning or end of the response and does not contain the word 'sql' in the output.
+"""]
+
+# Streamlit app configuration
+st.set_page_config(page_title="RetrieveGPT")
+st.header("Retrieve_GPT")
+
+question = st.text_input("Input your question:", key='input')
+submit = st.button("Submit")
+
+# If submit is clicked
+if submit:
+    response = get_gemini_response(question, prompt)
+    if response:
+        results = read_sql_query(response, "Student.db")
+        st.subheader("Output:")
+        if results:
+            for row in results:
+                st.write(row)
+        else:
+            st.write("No results found or an error occurred.")