Update app.py

app.py

@@ -3,20 +3,25 @@ import gradio_client
 from gradio_client import Client 
 
 title = """# Welcome To Tonic's Easy YI-6B-200K"""
-description = """This is a [connector that looks like open ai](https://huggingface.co/spaces/Tonic1/TonicsYI-6B-200k) on the inputs , then ignores all that and connects to my [YI-6B-200K endpoint](https://huggingface.co/01-ai/Yi-6B-200K). This helps using [Yi for AGI here](https://huggingface.co/spaces/Tonic/AGYIntelligence)"""
-client = Client("https://tonic1-tonicsyi-6b-200k.hf.space/--replicas/cvjqf/")
+description = """This is a [connector that looks like open ai](https://huggingface.co/spaces/Tonic1/TonicsYI-6B-200k) on the inputs , then ignores all that and connects to my [YI-6B-200K endpoint](https://huggingface.co/01-ai/Yi-6B-200K). This helps using [Yi for AGI here](https://huggingface.co/spaces/Tonic/AGYIntelligence)
+Join us : 🌟TeamTonic🌟 is always making cool demos! Join our active builder's🛠️community on 👻Discord: [Discord](https://discord.gg/nXx5wbX9) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Polytonic](https://github.com/tonic-ai) & contribute to 🌟 [PolyGPT](https://github.com/tonic-ai/polygpt-alpha)
+"""
+client = Client("https://tonic1-tonicsyi-6b-200k.hf.space/--replicas/ggpbv/")
 def chat_api_interface(messages, model, frequency_penalty=0, logit_bias=None, max_tokens=None, n=1, presence_penalty=0, response_format="text", seed=None, stop=None, stream=False, temperature=0.9, top_p=1, tools=None, tool_choice="none", user=None):
-    result = client.predict(
-        your_message = messages,
-        system_prompt = "I am YiTonic, an AI language model created by Tonic-AI. I am a cautious assistant. I carefully follow instructions. I am helpful and harmless and I follow ethical guidelines and promote positive behavior.",
-        max_new_tokens = 16000,
-        temperature,
-        top_p,
-        top_k,
-        disable_for_faster_inference=False,
-        api_name="/predict"
-    )
-    return result
+    try:
+        result = client.predict(
+            your_message=messages,
+            system_prompt="",
+            max_new_tokens=16000,
+            temperature=temperature,
+            top_p=top_p,
+            top_k=presence_penalty,
+            disable_for_faster_inference=False,
+            api_name="/predict"
+        )
+        return result
+    except Exception as e:
+        return f"An error occurred: {str(e)}"
 
 with gr.Blocks() as demo:
     with gr.Row():