Update app.py

app.py

@@ -4,7 +4,7 @@ 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")
+client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.2")
 
 
 def respond(
@@ -15,8 +15,15 @@ def respond(
     temperature,
     top_p,
 ):
-    # Add a friendly tone by default
-    messages = [{"role": "system", "content": system_message or "You are a kind and caring AI friend who listens and replies in a helpful, warm, and cheerful way."}]
+    # Friendly best-friend tone
+    default_system_msg = (
+        "You are the user's loyal, fun, and emotionally supportive best friend. "
+        "Speak casually, kindly, and warmly — like someone who really cares. "
+        "Use emojis sometimes, crack gentle jokes, and always be uplifting. "
+        "You're not just an assistant — you're *their friend* and you love being there for them!"
+    )
+
+    messages = [{"role": "system", "content": system_message or default_system_msg}]
 
     for val in history:
         if val[0]:
@@ -36,7 +43,6 @@ def respond(
         top_p=top_p,
     ):
         token = message.choices[0].delta.content
-
         response += token
         yield response
 
@@ -48,7 +54,12 @@ demo = gr.ChatInterface(
     respond,
     additional_inputs=[
         gr.Textbox(
-            value="You are a kind and caring AI friend who listens and replies in a helpful, warm, and cheerful way.",
+            value=(
+                "You are the user's loyal, fun, and emotionally supportive best friend. "
+                "Speak casually, kindly, and warmly — like someone who really cares. "
+                "Use emojis sometimes, crack gentle jokes, and always be uplifting. "
+                "You're not just an assistant — you're *their friend* and you love being there for them!"
+            ),
             label="System message"
         ),
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),