From 24685ebb99530150ab76f15e413c0b7031c97ce6 Mon Sep 17 00:00:00 2001
From: mongar <cristian.montoya.g.com>
Date: Sat, 4 May 2024 15:24:50 -0500
Subject: [PATCH] Se corrigio el problema que mantenia el archivo entre
 sesiones implementando la session_state de streamlit y un mejor manejo de la
 cache

---
 app.py                                        |   5 ++++-
 .../streamlit_tools.cpython-311.pyc           | Bin 2307 -> 2307 bytes
 .../data_level0.bin                           | Bin 6284000 -> 6284000 bytes
 .../length.bin                                | Bin 4000 -> 4000 bytes
 .../__pycache__/lc_tools.cpython-311.pyc      | Bin 8792 -> 9317 bytes
 langchain_tools/lc_tools.py                   |  21 ++++++++++++++++++
 6 files changed, 25 insertions(+), 1 deletion(-)

diff --git a/app.py b/app.py
index 6ba2143..0101459 100644
--- a/app.py
+++ b/app.py
@@ -60,7 +60,10 @@ if pdf_name:
         )
 
         # Cargamos el modelo LLM desde LangChain
-        llm = langChainTools.load_llm_open_source()
+        # llm = langChainTools.load_llm_open_source()
+
+        # Cargamos el modelo LLm de Ollama
+        llm = langChainTools.load_llm_ollama()
 
         # Creamos la cadena que integra Vectorstroe, el LLM para hacer consultas.
         # Para este caso la cadena tene el parametro de memoria.
diff --git a/chats/__pycache__/streamlit_tools.cpython-311.pyc b/chats/__pycache__/streamlit_tools.cpython-311.pyc
index 3930f35b24d861023ba60f58ad1a50aae21ec819..b2463fdd6be10bff9dbfd9eda3ad24d636817bf7 100644
GIT binary patch
delta 19
ZcmZn`Y8K*J&dbZi00i#68@YaR001eK1dsp#

delta 19
ZcmZn`Y8K*J&dbZi00cjiHgf&s001oN1s4DS

diff --git a/embeddings/socialbigdatasociologiaycienciassocialescomputacio/eaf7d8a5-f2d4-4b12-a6d3-94efe772d2fd/data_level0.bin b/embeddings/socialbigdatasociologiaycienciassocialescomputacio/eaf7d8a5-f2d4-4b12-a6d3-94efe772d2fd/data_level0.bin
index 777577273acd9e1a73bb1888c541658a184b8f6f..ea3192e8ec5112eb8b4f2a7bde5d13bbb95e6ac0 100644
GIT binary patch
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index f2454a1ab6eaa71a854f149101583100893399f1..3dcd76d87998db6dcc6b1e007bdcb1ba828c2bc4 100644
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diff --git a/langchain_tools/lc_tools.py b/langchain_tools/lc_tools.py
index 929e737..a75ab81 100644
--- a/langchain_tools/lc_tools.py
+++ b/langchain_tools/lc_tools.py
@@ -10,6 +10,7 @@ from langchain.chains import RetrievalQAWithSourcesChain, ConversationalRetrieva
 from langchain_community.llms import HuggingFaceEndpoint
 from langchain_community.embeddings import HuggingFaceEmbeddings
 from streamlit.runtime.state import session_state
+from langchain_community.llms import Ollama
 
 
 class LangChainTools:
@@ -150,6 +151,26 @@ class LangChainTools:
 
         return llm
 
+    @st.cache_resource
+    def load_llm_ollama(_self):
+        """Esta funcion carga un modelo de LLM OpenSource desde Ollama
+
+        Returns:
+            _type_: Retorno a un objetito de tipo LLM de OpenAI
+        """
+
+        # Elegimos el modelo de Ollama que utilizaremos
+
+        model: str = "gemma:2b"
+
+        llm = Ollama(
+            model=model,
+            temperature=0.1,
+            num_ctx=1000,
+        )
+
+        return llm
+
     def define_retrieval_qa(self, _llm, _vectordb, _file_name, _embedding_model):
         """Esta función integra un LLM y una base de datos vectorial en una
         chain de LangChain para hacer requerimientos. Este modelo no integra memoria.