Update app1.py

app1.py

@@ -4,31 +4,33 @@ from huggingface_hub import InferenceClient
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
 with gr.Blocks() as demo:
-    system_message = gr.Textbox(value="You are a friendly Chatbot.", label="System message")
-    max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
-    temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
-    top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top p")
+    logo = gr.Image(value="(link unavailable)", label="Logo")
+    input_box = gr.Textbox(label="Type your message...")
     chat_history = gr.Markdown(label="Chat History")
-    message = gr.Textbox(label="Message")
     chatbot = gr.Chatbot()
-    clear = gr.Button("Clear")
 
-    def respond(system_message, message, max_tokens, temperature, top_p, chat_history):
+    def respond(message):
+        # Set default values for sliders and system message
+        system_message = "You are a friendly Chatbot."
+        max_tokens = 512
+        temperature = 0.7
+        top_p = 0.95
+
+        # Generate response from chatbot
         messages = [{"role": "system", "content": system_message}]
-        for val in chat_history:
-            if val[0]:
-                messages.append({"role": "user", "content": val[0]})
-            if val[1]:
-                messages.append({"role": "assistant", "content": val[1]})
         messages.append({"role": "user", "content": message})
         response = ""
         for message in client.chat_completion(messages, max_tokens=max_tokens, stream=True, temperature=temperature, top_p=top_p):
             token = message.choices[0].delta.content
             response += token
-        chat_history.append((message, response))
+
+        # Update chat history
+        chat_history_value = chat_history.value
+        chat_history_value.append((message, response))
+        chat_history.update(value=chat_history_value)
+
         return chat_history
 
-    message.submit(respond, inputs=[system_message, message, max_tokens, temperature, top_p, chat_history], outputs=[chat_history, chatbot])
-    clear.click(lambda: [], outputs=[message, chatbot, chat_history])
+    input_box.submit(respond, inputs=input_box, outputs=chat_history)
 
 demo.launch()