Update

app.py

@@ -4,17 +4,9 @@ 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("jacopoda/lora_model")
+client = InferenceClient("Grandediw/lora_model")
 
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
+def respond(message, history: list[tuple[str, str]], system_message, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}]
 
     for val in history:
@@ -35,30 +27,61 @@ 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.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+with gr.Blocks(title="Enhanced LORA Chat Interface") as demo:
+    gr.Markdown(
+        """
+        # LORA Chat Assistant
+        Welcome! This is a demo of a LORA-based Chat Assistant.  
+        Start by entering your prompt in the chat box below.
+        """
+    )
+
+    with gr.Row():
+        # Left column: Chat interface
+        with gr.Column():
+            chat = gr.ChatInterface(
+                fn=respond,
+                additional_inputs=[],
+                height=500
+            )
+        
+        # Right column: Settings and System Message
+        with gr.Column():
+            gr.Markdown("### Configuration")
+            system_message = gr.Textbox(
+                value="You are a friendly Chatbot.",
+                label="Initial Behavior (System Message)",
+                lines=3,
+                placeholder="Describe how the assistant should behave..."
+            )
+
+            with gr.Accordion("Advanced Settings", open=False):
+                max_tokens = gr.Slider(
+                    minimum=1, maximum=2048, value=512, step=1,
+                    label="Max new tokens",
+                    info="Controls the maximum number of tokens in the response."
+                )
+                temperature = gr.Slider(
+                    minimum=0.1, maximum=4.0, value=0.7, step=0.1,
+                    label="Temperature",
+                    info="Higher values produce more random outputs."
+                )
+                top_p = gr.Slider(
+                    minimum=0.1, maximum=1.0, value=0.95, step=0.05,
+                    label="Top-p (nucleus sampling)",
+                    info="Limits the tokens considered to the top portion by cumulative probability."
+                )
 
+            # Link parameters to the chat interface's function
+            chat.configure(
+                additional_inputs=[system_message, max_tokens, temperature, top_p]
+            )
 
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()

requirements.txt

@@ -1 +1,3 @@
-huggingface_hub==0.25.2
+huggingface_hub==0.25.2
+unsloth
+gradio