Update app.py

app.py

@@ -1,15 +1,11 @@
 import gradio as gr
-import gradio as gr
 import os
 from huggingface_hub import InferenceClient
 
-# Read API key from environment variable
 hf_token = os.getenv("hf_token")
 
-# Initialize InferenceClient with the token from the environment
 client = InferenceClient(api_key=hf_token)
 
-# Function to get responses from the model
 def get_response(user_input):
     messages = [
         { "role": "system", "content": "you are xylaria 1.4 senoa, developed by sk md saad amin" },
@@ -30,16 +26,37 @@ def get_response(user_input):
         response += chunk.choices[0].delta.content
     return response
 
-# Set up the Gradio interface
-iface = gr.Interface(
-    fn=get_response, 
-    inputs=gr.Textbox(label="Your message", placeholder="Type your message here..."), 
-    outputs=gr.Textbox(label="Response", interactive=False),
-    title="Xylaria 1.4 Senoa Chatbot",
-    description="A chatbot powered by Xylaria 1.4 Senoa, developed by Sk Md Saad Amin."
-)
+def chat_interface():
+    with gr.Blocks() as demo:
+        with gr.Row():
+            with gr.Column(scale=0.8):
+                input_textbox = gr.Textbox(
+                    label="Type your message", 
+                    placeholder="Ask me anything...",
+                    lines=1,
+                    max_lines=3,
+                    interactive=True,
+                    elem_id="user-input",
+                    show_label=False
+                )
+            with gr.Column(scale=0.2):
+                send_button = gr.Button("Send", elem_id="send-btn")
+
+        chat_output = gr.Chatbot(
+            elem_id="chat-box",
+            label="Xylaria 1.4 Senoa Chatbot",
+            show_label=False
+        )
+        
+        def submit_input(user_input, chat_history):
+            response = get_response(user_input)
+            chat_history.append((user_input, response))
+            return "", chat_history
 
-# Launch the interface
-iface.launch()
+        input_textbox.submit(submit_input, [input_textbox, chat_output], [input_textbox, chat_output])
+        send_button.click(submit_input, [input_textbox, chat_output], [input_textbox, chat_output])
+        
+    return demo
 
-gr.load("models/Qwen/QwQ-32B-Preview").launch()
+demo = chat_interface()
+demo.launch()