Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -41,20 +41,26 @@ def invoke(openai_api_key, prompt, rag_option):
|
|
41 |
and not too far from resturants, can you recommend a place?
|
42 |
Include a reason as to why you've chosen your selection.
|
43 |
"""
|
|
|
44 |
dataset = load_dataset("MongoDB/airbnb_embeddings", streaming=True, split="train")
|
45 |
dataset = dataset.take(100)
|
|
|
46 |
# Convert the dataset to a pandas dataframe
|
47 |
dataset_df = pd.DataFrame(dataset)
|
48 |
dataset_df.head(5)
|
49 |
print("Columns:", dataset_df.columns)
|
50 |
|
51 |
listings = process_records(dataset_df)
|
52 |
-
|
|
|
|
|
53 |
db, collection = connect_to_database()
|
54 |
collection.delete_many({})
|
55 |
collection.insert_many(listings)
|
56 |
print("Data ingestion into MongoDB completed")
|
57 |
-
|
|
|
|
|
58 |
setup_vector_search_index(collection=collection)
|
59 |
|
60 |
search_path = "address.country"
|
@@ -69,12 +75,9 @@ def invoke(openai_api_key, prompt, rag_option):
|
|
69 |
|
70 |
additional_stages = [match_stage]
|
71 |
|
72 |
-
query = """
|
73 |
-
I want to stay in a place that's warm and friendly,
|
74 |
-
and not too far from resturants, can you recommend a place?
|
75 |
-
Include a reason as to why you've chosen your selection"
|
76 |
-
"""
|
77 |
result = handle_user_query(openai_api_key, query, db, collection, additional_stages)
|
|
|
|
|
78 |
###
|
79 |
|
80 |
return result
|
|
|
41 |
and not too far from resturants, can you recommend a place?
|
42 |
Include a reason as to why you've chosen your selection.
|
43 |
"""
|
44 |
+
print("111")
|
45 |
dataset = load_dataset("MongoDB/airbnb_embeddings", streaming=True, split="train")
|
46 |
dataset = dataset.take(100)
|
47 |
+
print("222")
|
48 |
# Convert the dataset to a pandas dataframe
|
49 |
dataset_df = pd.DataFrame(dataset)
|
50 |
dataset_df.head(5)
|
51 |
print("Columns:", dataset_df.columns)
|
52 |
|
53 |
listings = process_records(dataset_df)
|
54 |
+
print("333")
|
55 |
+
|
56 |
+
print("444")
|
57 |
db, collection = connect_to_database()
|
58 |
collection.delete_many({})
|
59 |
collection.insert_many(listings)
|
60 |
print("Data ingestion into MongoDB completed")
|
61 |
+
print("555")
|
62 |
+
|
63 |
+
"""
|
64 |
setup_vector_search_index(collection=collection)
|
65 |
|
66 |
search_path = "address.country"
|
|
|
75 |
|
76 |
additional_stages = [match_stage]
|
77 |
|
|
|
|
|
|
|
|
|
|
|
78 |
result = handle_user_query(openai_api_key, query, db, collection, additional_stages)
|
79 |
+
"""
|
80 |
+
result = "TODO"
|
81 |
###
|
82 |
|
83 |
return result
|