Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -8,7 +8,8 @@ class UnifiedSystem:
|
|
8 |
self.sql_generator = SQLGenerator()
|
9 |
self.intent_classifier = IntentClassifier()
|
10 |
self.rag_system = RAGSystem()
|
11 |
-
|
|
|
12 |
def process_query(self, query):
|
13 |
intent, confidence = self.intent_classifier.classify(query)
|
14 |
|
@@ -17,9 +18,8 @@ class UnifiedSystem:
|
|
17 |
products = self.sql_generator.fetch_shopify_data("products")
|
18 |
|
19 |
if products and 'products' in products:
|
20 |
-
base_url = "https://agkd0n-fa.myshopify.com/products/"
|
21 |
results = "\n".join([
|
22 |
-
f"Title: {p['title']}, Vendor: {p['vendor']},
|
23 |
for p in products['products']
|
24 |
])
|
25 |
return f"Intent: Database Query (Confidence: {confidence:.2f})\n\n" \
|
@@ -28,32 +28,20 @@ class UnifiedSystem:
|
|
28 |
return "No results found or error fetching data from Shopify."
|
29 |
|
30 |
elif intent == "product_description":
|
31 |
-
# Assuming the RAGSystem can return relevant product information
|
32 |
rag_response = self.rag_system.process_query(query)
|
33 |
-
|
34 |
-
|
35 |
-
|
36 |
-
|
37 |
|
38 |
-
|
39 |
-
|
40 |
-
|
41 |
-
return (f"Intent: Product Description (Confidence: {confidence:.2f})\n\n"
|
42 |
-
f"Response: {description}\n\n"
|
43 |
-
f"Relevant Product Links:\n{handle_links}" if handles else "No relevant product links available.")
|
44 |
|
45 |
return "Intent not recognized."
|
46 |
|
47 |
def create_interface():
|
48 |
system = UnifiedSystem()
|
49 |
|
50 |
-
examples = [
|
51 |
-
"Show me shirt less than 5 USD",
|
52 |
-
"Show me shirt with red color",
|
53 |
-
"Show me T-shirt with M size",
|
54 |
-
"Describe the features of the blue jeans"
|
55 |
-
]
|
56 |
-
|
57 |
iface = gr.Interface(
|
58 |
fn=system.process_query,
|
59 |
inputs=gr.Textbox(
|
@@ -63,7 +51,11 @@ def create_interface():
|
|
63 |
outputs=gr.Textbox(label="Response"),
|
64 |
title="Unified Query Processing System",
|
65 |
description="Enter a natural language query to search products or get descriptions.",
|
66 |
-
examples=
|
|
|
|
|
|
|
|
|
67 |
)
|
68 |
|
69 |
return iface
|
|
|
8 |
self.sql_generator = SQLGenerator()
|
9 |
self.intent_classifier = IntentClassifier()
|
10 |
self.rag_system = RAGSystem()
|
11 |
+
self.base_url = "https://agkd0n-fa.myshopify.com/products/"
|
12 |
+
|
13 |
def process_query(self, query):
|
14 |
intent, confidence = self.intent_classifier.classify(query)
|
15 |
|
|
|
18 |
products = self.sql_generator.fetch_shopify_data("products")
|
19 |
|
20 |
if products and 'products' in products:
|
|
|
21 |
results = "\n".join([
|
22 |
+
f"Title: {p['title']}, Vendor: {p['vendor']}, URL: {self.base_url}{p['handle']}"
|
23 |
for p in products['products']
|
24 |
])
|
25 |
return f"Intent: Database Query (Confidence: {confidence:.2f})\n\n" \
|
|
|
28 |
return "No results found or error fetching data from Shopify."
|
29 |
|
30 |
elif intent == "product_description":
|
|
|
31 |
rag_response = self.rag_system.process_query(query)
|
32 |
+
# Assume the RAG system can return product handles for links
|
33 |
+
product_handles = rag_response.get('product_handles', [])
|
34 |
+
urls = [f"{self.base_url}{handle}" for handle in product_handles]
|
35 |
+
response = rag_response.get('response', "No description available.")
|
36 |
|
37 |
+
return f"Intent: Product Description (Confidence: {confidence:.2f})\n\n" \
|
38 |
+
f"Response: {response}\n\nProduct URLs:\n" + "\n".join(urls)
|
|
|
|
|
|
|
|
|
39 |
|
40 |
return "Intent not recognized."
|
41 |
|
42 |
def create_interface():
|
43 |
system = UnifiedSystem()
|
44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
45 |
iface = gr.Interface(
|
46 |
fn=system.process_query,
|
47 |
inputs=gr.Textbox(
|
|
|
51 |
outputs=gr.Textbox(label="Response"),
|
52 |
title="Unified Query Processing System",
|
53 |
description="Enter a natural language query to search products or get descriptions.",
|
54 |
+
examples=[
|
55 |
+
["Show me shirts less than 5 USD"],
|
56 |
+
["Show me shirts with red color"],
|
57 |
+
["Show me T-shirts with M size"]
|
58 |
+
]
|
59 |
)
|
60 |
|
61 |
return iface
|