probando otros modelos

.gitignore

@@ -0,0 +1,2 @@
+.env
+env

app.py

@@ -1,11 +1,14 @@
 from transformers import pipeline, Conversation
 import gradio as gr
 import base64
-
+from dotenv import load_dotenv
+import os
+# Load environment variables from the .env file de forma local
+load_dotenv()
 with open("Iso_Logotipo_Ceibal.png", "rb") as image_file:
     encoded_image = base64.b64encode(image_file.read()).decode()
 
-bot = pipeline("conversational",model="meta-llama/Llama-2-7b-chat-hf")
+bot = pipeline("conversational",model="meta-llama/Llama-2-7b-chat-hf",token =os.environ['TOKEN'])
 #"tiiuae/falcon-7b" este dio out of memory
 #"facebook/blenderbot-400M-distill"  este es una conversación posta, aburrido
 # "meta-llama/Llama-2-7b-chat-hf"  este es tonto

requirements.txt

@@ -1,3 +1,4 @@
 transformers
 gradio
-torch
+torch
+python-dotenv