Update app.py

app.py

@@ -3,8 +3,8 @@ import pandas as pd
 from sklearn.metrics.pairwise import cosine_similarity
 
 # Load embeddings and metadata
-embeddings = np.load("path/to/netflix_embeddings.npy")
-metadata = pd.read_csv("path/to/netflix_metadata.csv")
+embeddings = np.load("Tesneem/Netflix_Recommendation/netflix_embeddings.npy") 
+metadata = pd.read_csv("Tesneem/Netflix_Recommendation/netflix_metadata.csv")
 
 # Vector search function
 def vector_search(query, model):
@@ -24,6 +24,8 @@ from sentence_transformers import SentenceTransformer
 
 model = SentenceTransformer("thenlper/gte-large")
 with gr.Blocks() as demo:
+    gr.Markdown("# Netflix Recommendation System")
+    gr.Markdown("Enter a query to receive Netflix show recommendations based on title, description, and genre.")
     query = gr.Textbox(label="Enter your query")
     output = gr.Textbox(label="Recommendations")
     submit_button = gr.Button("Submit")