Update app.py

app.py

@@ -179,7 +179,7 @@ def analyze_processing_level(ingredients, brand_name, product_name, assistant_id
     
     run = client.beta.threads.runs.create_and_poll(
         thread_id=thread.id,
-        assistant_id=assistant_id,  # Replace with actual assistant ID
+        assistant_id=assistant_id,
         include=["step_details.tool_calls[*].file_search.results[*].content"]
     )
     
@@ -212,7 +212,7 @@ def analyze_harmful_ingredients(ingredients, brand_name, product_name, assistant
     
     run = client.beta.threads.runs.create_and_poll(
         thread_id=thread.id,
-        assistant_id=assistant_id,  # Replace with actual assistant ID
+        assistant_id=assistant_id,
         include=["step_details.tool_calls[*].file_search.results[*].content"]
     )
     
@@ -257,7 +257,7 @@ def analyze_claims(claims, assistant_id):
     
     run = client.beta.threads.runs.create_and_poll(
         thread_id=thread.id,
-        assistant_id=assistant_id,  # Replace with actual assistant ID
+        assistant_id=assistant_id,
         include=["step_details.tool_calls[*].file_search.results[*].content"]
     )
     
@@ -452,13 +452,17 @@ def chatbot_response(user_input):
     harmful_ingredient_analysis = ""
     claims_analysis = ""
     
-    if "analyze" in user_input.lower() and "http" in user_input.lower():
+    if "http:/" in user_input.lower() or "https:/" in user_input.lower():
         # Extract image URL from user input
-        image_url = user_input.split("http")[1].split()[0]
-        image_url = "http" + image_url
+        if "," not in user_input:
+            image_urls.append(user_input)
+        else:
+            for url in user_input.split(","):
+                if "http:/" in url.lower() or "https:/" in url.lower():
+                    image_urls.append(url)
 
         with st.spinner("Analyzing the product... This may take a moment."):
-            product_info_from_db = json.loads(extract_data_from_product_image([image_url], data_extractor_url))
+            product_info_from_db = json.loads(extract_data_from_product_image(image_urls, data_extractor_url))
             
             if product_info_from_db:
                 brand_name = product_info_from_db.get("brandName", "")