From 4f518fffa7d8f8f51c1cf704fe840eb1d09fd2c2 Mon Sep 17 00:00:00 2001
From: Mario Gonzalez Gil <mgil@_HOSTNAME_>
Date: Wed, 11 Oct 2023 16:13:52 +0200
Subject: [PATCH] Server funtional

---
 DownloadModels.py | 4 +++-
 main.py           | 2 +-
 run.sh            | 2 +-
 3 files changed, 5 insertions(+), 3 deletions(-)

diff --git a/DownloadModels.py b/DownloadModels.py
index 232a9ef..b8a8218 100644
--- a/DownloadModels.py
+++ b/DownloadModels.py
@@ -3,7 +3,9 @@ from sentence_transformers import SentenceTransformer
 # uno de uso gereal el de mejor desempeño all-mpnet-base-v2
 # el mas rapido "paraphrase-MiniLM-L3-v2" y "all-MiniLM-L6-v2"
 # muy rappudo y muy acertado "all-MiniLM-L12-v2"
-models=["all-MiniLM-L12-v2","paraphrase-MiniLM-L3-v2" , "all-MiniLM-L6-v2","all-mpnet-base-v2","multi-qa-mpnet-base-dot-v1"]
+#models=["all-MiniLM-L12-v2","paraphrase-MiniLM-L3-v2" , "all-MiniLM-L6-v2",
+models=["all-mpnet-base-v2","multi-qa-mpnet-base-dot-v1"]
+
 for model in models:
     modelST = SentenceTransformer(model)
     # Define the path where you want to save the model
diff --git a/main.py b/main.py
index d7c0b41..61b6f1d 100644
--- a/main.py
+++ b/main.py
@@ -91,7 +91,7 @@ def loadmodelEmb(model_name = "embeddings/all-MiniLM-L6-v2",model_kwargs = {'dev
     st = SentenceTransformer(model_name)
     return st
 
-emb=loadmodelEmb()
+#emb=loadmodelEmb()
 CUSTOM_PATH = "/angela"
 app = FastAPI()
 
diff --git a/run.sh b/run.sh
index 0b6293f..8556851 100644
--- a/run.sh
+++ b/run.sh
@@ -1 +1 @@
-uvicorn main:app --reload --port 7860
\ No newline at end of file
+/home/mgil/.local/bin/uvicorn main:app --reload --port 7860