Update app.py

app.py

@@ -4,55 +4,64 @@ import requests
 # Your OpenAI API key
 OPENAI_API_KEY = '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'
 
-# Mockup function for getting product details
+# Constants for Oxylabs
+OXYLABS_ENDPOINT = 'https://realtime.oxylabs.io/v1/queries'
+OXYLABS_AUTH = ('antonces', 'APIusertest23')  # Replace 'user' and 'pass1' with your credentials
+
 def get_product_details(asin, domain):
-    # In real-world use, this function would likely make an API call or access a database to retrieve product details.
-    return {
-        'title': 'LEGO Star Wars: The Mandalorian The Razor Crest 75292 Exclusive Building Kit, New 2020 (1,023 Pieces)',
-        'product_name': 'LEGO Star Wars: The Mandalorian The Razor Crest',
-        'bullet_points': [
-            'Exclusive Building Kit',
-            'New 2020 release',
-            '1,023 Pieces',
-        ],
-        'images': ['https://m.media-amazon.com/images/I/51-e5UA3mEL._AC_SR160,160_.jpg']
+    payload = {
+        'source': 'amazon_product',
+        'domain': domain,
+        'query': asin,
+        'parse': True,
+        'context': [{'key': 'autoselect_variant', 'value': True}],
     }
+    response = requests.post(OXYLABS_ENDPOINT, auth=OXYLABS_AUTH, json=payload)
+    product_data = response.json()
+
+    # Extract relevant data. This might need changes based on the exact structure of the response.
+    title = product_data['results'][0]['title']
+    product_name = product_data['results'][0]['product_name']
+    bullet_points = product_data['results'][0]['bullet_points']
+    image_url = product_data['results'][0]['images'][0]
+
+    return title, product_name, bullet_points, image_url
 
-# Mockup function for getting reviews
 def get_reviews(asin, domain):
-    # This function should return the actual reviews of the product.
-    return "This product is amazing! I loved it. The pieces are very detailed. My kids loved it too."
+    payload = {
+        'source': 'amazon_reviews',
+        'domain': domain,
+        'query': asin,
+        'parse': True,
+    }
+    response = requests.post(OXYLABS_ENDPOINT, auth=OXYLABS_AUTH, json=payload)
+    review_data = response.json()
+
+    # Assuming 'reviews' is a key in the returned JSON. This might need changes based on the exact structure of the response.
+    return review_data['reviews']
 
 def get_reviews_summary(reviews):
     headers = {
         'Authorization': f'Bearer {OPENAI_API_KEY}',
         'Content-Type': 'application/json',
     }
-    
     data = {
         'prompt': f"Summarize the following customer reviews in bullet points:\n\n{reviews}",
         'max_tokens': 150
     }
-    
     response = requests.post('https://api.openai.com/v1/engines/davinci/completions', headers=headers, json=data)
     summary = response.json()['choices'][0]['text'].strip()
 
     return summary
 
 def amazon_combined_interface(asin, domain):
-    product_details = get_product_details(asin, domain)
+    title, product_name, bullet_points, image_url = get_product_details(asin, domain)
     reviews = get_reviews(asin, domain)
     
-    # Extract required fields from the product details
-    title = product_details['title']
-    product_name = product_details['product_name']
-    bullet_points = '\n'.join(product_details['bullet_points'])
-    image_url = product_details['images'][0]
-    
     # Summarize reviews using OpenAI
     summarized_reviews = get_reviews_summary(reviews)
 
-    return title, product_name, bullet_points, image_url, summarized_reviews
+    return title, product_name, '\n'.join(bullet_points), image_url, summarized_reviews
 
 # Gradio interface setup
 iface = gr.Interface(