Upload 2 files

app.py

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+import pandas as pd
+import gradio as gr
+
+def generate_sql(file, operation, table_name):
+    if file is None or not table_name:
+        return "Please upload a CSV file and enter a table name."
+    
+    df = pd.read_csv(file.name)
+    columns = df.columns.tolist()
+    queries = []
+    
+    if operation == "ADD":
+        for _, row in df.iterrows():
+            values = tuple(row)
+            query = f"INSERT INTO {table_name} ({', '.join(columns)}) VALUES {values};"
+            queries.append(query)
+    
+    elif operation == "UPDATE":
+        primary_key = columns[0]  # Assuming the first column is the primary key
+        for _, row in df.iterrows():
+            set_clause = ', '.join([f"{col}='{row[col]}'" for col in columns[1:]])
+            query = f"UPDATE {table_name} SET {set_clause} WHERE {primary_key}='{row[primary_key]}';"
+            queries.append(query)
+    
+    elif operation == "DELETE":
+        primary_key = columns[0]
+        for _, row in df.iterrows():
+            query = f"DELETE FROM {table_name} WHERE {primary_key}='{row[primary_key]}';"
+            queries.append(query)
+    
+    return "\n".join(queries)
+
+iface = gr.Interface(
+    fn=generate_sql,
+    inputs=[
+        gr.File(label="Upload CSV File"),
+        gr.Radio(["ADD", "UPDATE", "DELETE"], label="Select Operation"),
+        gr.Textbox(label="Enter Table Name")
+    ],
+    outputs=gr.Textbox(label="Generated SQL Queries"),
+    title="CSV to SQL Query Converter",
+    description="<div style='text-align: center; margin-top: 20px;'>© 2025 Sandaru Abeykoon. All rights reserved.</div>",
+
+)
+
+iface.launch()

requirements.txt

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+gradio
+pandas