Add API integration for product search and details

src/app2.py

@@ -1,10 +1,32 @@
 import gradio as gr
 import pandas as pd
 import os
+import requests
 
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
 SEVER_IP = os.environ.get("SEVER_IP")
 
+def get_total_number_of_products():
+    response = requests.get(f'{SEVER_IP}/api/total_number_of_products/')
+    if response.status_code == 200:
+        return response.json()['total_number_of_products']
+    else:
+        return "Error fetching total number of products"
+
+def search_products(product_name):
+    response = requests.get(f'{SEVER_IP}/api/search_products/', params={'name': product_name})
+    if response.status_code == 200:
+        return pd.DataFrame(response.json())
+    else:
+        return pd.DataFrame([])  # Return an empty DataFrame in case of an error
+
+def get_product_details_by_id(product_id):
+    response = requests.get(f'{SEVER_IP}/api/product_details/{product_id}/')
+    if response.status_code == 200:
+        return response.json()  # Returns the product details as a dictionary
+    else:
+        return {"error": f"Product with ID {product_id} not found or error occurred."}
+
 def sample_fun(voice_input, prodcut_id):
     print(prodcut_id)
     return
@@ -16,8 +38,21 @@ with gr.Blocks(theme=gr.themes.Default(primary_hue=gr.themes.colors.red, seconda
         prodcut_id = gr.Textbox(label="Enter Product ID")
         with gr.Row():
             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', '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=search_products,inputs=[embbed_text_search] ,outputs= dataframe_output_tab_4)
 
 demo.launch()