Update app.py

app.py

@@ -29,6 +29,8 @@ Built by **Mihir Naik** 🚀
 
 all_MiniLM_L6_V2_model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
 
+intfloat_e5_large_v2_model = SentenceTransformer('intfloat/e5-large-v2')
+
 @app.get("/")
 def redirect_to_docs():
     """
@@ -55,3 +57,18 @@ def generate_embeddings_all_MiniLM_L6_V2_model(sentences: List[str]):
     """
     embeddings = all_MiniLM_L6_V2_model.encode(sentences)
     return {"embeddings": embeddings.tolist()}  # Return embeddings as a JSON-compatible list
+
+
+@app.post("/generate-embeddings/intfloat-e5-large-v2/")
+def generate_embeddings_intfloat_e5_large_v2_model(sentences: List[str]):
+    """
+    Generates embeddings for a list of sentences using the intfloat/e5-large-v2 model.
+
+    Args:
+        sentences (List[str]): A list of sentences to generate embeddings for.
+
+    Returns:
+        dict: A dictionary containing the embeddings as a JSON-compatible list.
+    """
+    embeddings = intfloat_e5_large_v2_model.encode(sentences)
+    return {"embeddings": embeddings.tolist()}