Update model.py

model.py

@@ -7,13 +7,9 @@ class Model:
         self.embedding_model = SentenceTransformer('all-MiniLM-L6-v2')
 
     def __call__(self, payload):
-        # Extract inputs from the payload
-        inputs = payload.get("inputs", {})
-        source_sentence = inputs.get("source_sentence", "")
-        sentences = inputs.get("sentences", [])
+        # Extract text chunks from the payload
+        chunks = payload.get("inputs", [])
 
-        # Combine source_sentence with sentences
-        chunks = [source_sentence] + sentences
         # Generate embeddings
         embeddings = self.embedding_model.encode(chunks, convert_to_tensor=True)