Update app.py

app.py

@@ -1,27 +1,21 @@
-import gradio as gr
+from apify_client import ApifyClient
 
-from huggingface_hub import InferenceClient
+# Initialize the ApifyClient with your Apify API token
+# Replace '<YOUR_API_TOKEN>' with your token.
+client = ApifyClient("<YOUR_API_TOKEN>")
 
-client = InferenceClient("microsoft/phi-4")
+# Prepare the Actor input
+run_input = { "inputURL": [
+        { "url": "https://www.lidl.co.uk/c/food-drink/s10068374?offset=24" },
+        { "url": "https://www.lidl.co.uk/p/ripen-at-home-loose-mango/p10030752#searchTrackingMasterId=Product.10030752&searchTrackingTitle=Ripen-at-Home+Loose+Mango&searchTrackingPageSize=12&searchTrackingPage=2&searchTrackingEvent=click&searchTrackingId=Product.10030752&searchTrackingOrigPos=1&searchTrackingPos=20&searchTrackingOrigPageSize=12&searchTrackingChannel=GB&list=search" },
+    ] }
 
-def respond(message, history):
+# Run the Actor and wait for it to finish
+run = client.actor("thenetaji/lidl-scraper").call(run_input=run_input)
 
-    messages = [{"role": "system", "content": "you are a friendly chatbot"}]
+# Fetch and print Actor results from the run's dataset (if there are any)
+print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
+for item in client.dataset(run["defaultDatasetId"]).iterate_items():
+    print(item)
 
-    if history:
-        messages.extend(history)
-
-    messages.append({"role": "user", "content": message})
-
-    
-    response = client.chat_completion(
-        messages,
-        max_tokens=100
-    )
-    return response['choices'][0]['message']['content'].strip()
-
-
-
-chatbot = gr.ChatInterface(respond, type="messages" , title="Friendly chatbot")
-
-chatbot.launch()
+# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start