Update app.py

app.py

@@ -1,11 +1,8 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
+# Cambiar al modelo Latxa
+client = InferenceClient("xezpeleta/latxa-7b-v1-gguf")
 
 def respond(
     message,
@@ -35,20 +32,30 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
 demo = gr.ChatInterface(
     respond,
     additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Textbox(
+            value="Euskarazko laguntzaile adimentsua zara.", 
+            label="Sistema mezua"
+        ),
+        gr.Slider(
+            minimum=1, 
+            maximum=2048, 
+            value=512, 
+            step=1, 
+            label="Token maximoak"
+        ),
+        gr.Slider(
+            minimum=0.1, 
+            maximum=1.0, 
+            value=0.7, 
+            step=0.1, 
+            label="Temperatura"
+        ),
         gr.Slider(
             minimum=0.1,
             maximum=1.0,
@@ -57,8 +64,10 @@ demo = gr.ChatInterface(
             label="Top-p (nucleus sampling)",
         ),
     ],
+    title="Latxa LLM Chatbot",
+    description="Euskarazko chatbot adimentsua"
 )
 
-
 if __name__ == "__main__":
     demo.launch()
+