gradio app added.

src/app.py

@@ -1,4 +1,37 @@
 import gradio as gr
+import pymysql
+import pandas as pd
+
+def get_total_number_of_products():
+    connection = connect_to_db()
+    cursor = connection.cursor()
+
+    # Execute SQL query to count total number of products
+    sql = "SELECT COUNT(*) AS total_products FROM api_database"
+    cursor.execute(sql)
+    result = cursor.fetchone()
+    total_products = result['total_products']
+
+    connection.close()
+
+    return total_products
+
+def search_products(search_query):
+    search_query = " " + search_query.lower() + " "
+    connection = connect_to_db()
+    cursor = connection.cursor()
+    sql = """
+        SELECT * FROM api_database 
+        WHERE product_name LIKE %s OR description LIKE %s
+    """
+    cursor.execute(sql, ('%' + search_query + '%', '%' + search_query + '%'))
+    search_results = cursor.fetchall()
+
+    connection.close()
+    search_results_formatted = []
+    for result in search_results:
+        search_results_formatted.append(list(result.values()))
+    return search_results_formatted
 
 def sample_fun(first_image,voice_input, text_input):
     return
@@ -12,12 +45,18 @@ with gr.Blocks(theme=gr.themes.Default(primary_hue=gr.themes.colors.red, seconda
             submit_button_tab_1 = gr.Button("Start")
 
     with gr.Tab("Search Catalog"):
+        with gr.Row():
+            total_no_of_products = gr.Textbox(value=str(get_total_number_of_products()),label="Total Products")
         with gr.Row():
             embbed_text_search = gr.Textbox(label="Enter Product Name")
             submit_button_tab_4 = gr.Button("Start")
-        dataframe_output_tab_4 = gr.Dataframe(headers=['ID', 'Distance', 'Title', 'Authors', 'Source'])
+        dataframe_output_tab_4 = gr.Dataframe(headers=['id', 'barcode', 'brand', 'sub_brand', 'manufactured_by', 'product_name', 
+                                               'weight', 'variant', 'net_content', 'price', 'parent_category', 
+                                               'child_category', 'sub_child_category', 'images_paths', 'description', 
+                                               'quantity', 'promotion_on_the_pack', 'type_of_packaging', 'mrp'])
+
 
     submit_button_tab_1.click(fn=sample_fun,inputs=[voice_input,prodcut_id])
-    submit_button_tab_4.click(fn=sample_fun,inputs=[embbed_text_search] ,outputs= dataframe_output_tab_4)
+    submit_button_tab_4.click(fn=search_products,inputs=[embbed_text_search] ,outputs= dataframe_output_tab_4)
 
 demo.launch(server_name="0.0.0.0",server_port=9003)