Update app.py

app.py

@@ -1,10 +1,9 @@
-import gradio as gr
-import requests
-from PIL import Image
-from io import BytesIO
+# Your OpenAI API key
+OPENAI_API_KEY = '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'
 
+# Constants for Oxylabs
 OXYLABS_ENDPOINT = 'https://realtime.oxylabs.io/v1/queries'
-OXYLABS_AUTH = ('user', 'pass1')
+OXYLABS_AUTH = ('antonces', 'APIusertest23')  # Replace 'user' and 'pass1' with your credentials
 
 def get_product_details(asin, domain):
     payload = {
@@ -12,63 +11,67 @@ def get_product_details(asin, domain):
         'domain': domain,
         'query': asin,
         'parse': True,
-        'context': [{'key': 'autoselect_variant', 'value': True}]
+        'context': [{'key': 'autoselect_variant', 'value': True}],
+
+
+
+
     }
-    
     response = requests.post(OXYLABS_ENDPOINT, auth=OXYLABS_AUTH, json=payload)
     product_data = response.json()
 
-    content = product_data.get('results', [{}])[0].get('content', {})
-    ads = content.get('ads', [{}])[0]
+    # 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]
 
-    title = ads.get('title', "")
-    product_name = title.split(" ")[0]  # Taking the first word as product name
-    bullet_points = title  # Assuming bullet points are the title (adjust if needed)
-    image_url = ads.get('images', [""])[0]
-    
     return title, product_name, bullet_points, image_url
 
+
 def get_reviews(asin, domain):
     payload = {
         'source': 'amazon_reviews',
         'domain': domain,
         'query': asin,
-        'parse': True
+        'parse': True,
     }
-    
     response = requests.post(OXYLABS_ENDPOINT, auth=OXYLABS_AUTH, json=payload)
     review_data = response.json()
 
-    reviews = review_data.get('results', [{}])[0].get('content', {}).get('reviews', [])
+    # 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
+    }
 
-    return reviews
+    response = requests.post('https://api.openai.com/v1/engines/davinci/completions', headers=headers, json=data)
+    summary = response.json()['choices'][0]['text'].strip()
 
-def fetch_image_from_url(url):
-    response = requests.get(url)
-    return Image.open(BytesIO(response.content))
+    return summary
 
 def amazon_combined_interface(asin, domain):
     title, product_name, bullet_points, image_url = get_product_details(asin, domain)
     reviews = get_reviews(asin, domain)
     
-    reviews_summary = "\n\n".join([f"Title: {review['title']}\nAuthor: {review['author']}\nRating: {review['rating']}\nContent: {review['content']}" for review in reviews])
-    image = fetch_image_from_url(image_url)
-    
-    return title, product_name, bullet_points, image, reviews_summary
-
-interface = gr.Interface(
-    fn=amazon_combined_interface,
-    inputs=[
-        gr.Textbox(label="Enter the ASIN"),
-        gr.Dropdown(choices=["com", "uk", "de", "fr", "es", "it", "nl"], label="Select Marketplace")
-    ],
-    outputs=[
-        gr.Textbox(label="Title"),
-        gr.Textbox(label="Product Name"),
-        gr.Textbox(label="Bullet Points"),
-        gr.Image(label="Product Image", type="pil"),
-        gr.Textbox(label="Customer Reviews")
-    ]
-)
-
-interface.launch()
+
+
+
+
+
+
+    # Summarize reviews using OpenAI
+    summarized_reviews = get_reviews_summary(reviews)
+
+    return title, product_name, '\n'.join(bullet_points), image_url, summarized_reviews
+
+# Gradio interface setup
+iface = gr.Interface(