Create app.py

app.py

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+# Install required libraries
+!pip install streamlit requests
+
+# Streamlit app code
+import streamlit as st
+import requests
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# API URL (replace with your ngrok URL)
+API_URL = "https://c6d9-34-27-134-153.ngrok-free.app"  # Replace with your ngrok public URL
+
+# Streamlit app
+st.title("SQL Agent with Streamlit")
+
+# Input for the question
+question = st.text_input("Enter your question:")
+
+if st.button("Submit"):
+    if question:
+        # Call the API
+        response = requests.post(API_URL, json={"question": question})
+        
+        if response.status_code == 200:
+            data = response.json()
+            st.write("Generated SQL Query:")
+            st.code(data["sql_query"], language="sql")
+            
+            st.write("Query Results:")
+            result_df = pd.read_json(data["result"], orient='records')
+            st.dataframe(result_df)
+            
+            # Visualize the data
+            if 'region' in result_df.columns and 'total_sales' in result_df.columns:
+                st.write("Total Sales by Region")
+                fig, ax = plt.subplots()
+                sns.barplot(x='region', y='total_sales', data=result_df, ax=ax)
+                st.pyplot(fig)
+        else:
+            st.error(f"Error: {response.json().get('error')}")
+    else:
+        st.warning("Please enter a question.")