Update app.py

app.py

@@ -8,6 +8,9 @@ from torch_geometric.nn import GATConv
 from sentence_transformers import SentenceTransformer
 from sklearn.metrics.pairwise import cosine_similarity
 
+flask_app = Flask(__name__)
+
+
 class ModeratelySimplifiedGATConvModel(torch.nn.Module):
     def __init__(self, in_channels, hidden_channels, out_channels):
         super().__init__()
@@ -126,13 +129,14 @@ if user_input:
 
 
 
-@app.route('/recommend', methods=['POST'])
+@flask_app.route('/recommend', methods=['POST'])
 def recommend():
     input_text = request.json['input_text']
 
     recommendations = get_similar_and_recommend(input_text)
     return jsonify(recommendations)
 
+
 # Create a simple Streamlit interface with instructions
 st.title("Video Recommendation API")
 st.write("Use POST requests to `/recommend` with JSON data {'input_text': '<your text>'}")