Update app.py

app.py

@@ -45,9 +45,8 @@ def generate_response(user_message, cid, history=None):
     return chat, history, cid
     
 
-def clear_chat(cid):
-    cid = gr.State(str(uuid.uuid4()))
-    return [], [], cid
+def clear_chat():
+    return [], [], str(uuid.uuid4())
 
 
 examples = [
@@ -80,7 +79,7 @@ with gr.Blocks(analytics_enabled=False, css=custom_css) as demo:
         with gr.Column(scale=1):
             gr.Image("logoplus.png", elem_id="logo-img", show_label=False, show_share_button=False, show_download_button=False)
         with gr.Column(scale=3):
-            gr.Markdown("""C4AI Command R+ is a research open weights release of a 104B billion parameter with highly advanced Retrieval Augmented Generation (RAG) capabilities, tool Use to automate sophisticated tasks, and is multilingual in 10 languages: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, and Chinese. Command R + is optimized for a variety of use cases including reasoning, summarization, and question answering.
+            gr.Markdown("""C4AI Command R+ is a research open weights release of a 104B billion parameter with highly advanced Retrieval Augmented Generation (RAG) capabilities, tool Use to automate sophisticated tasks, and is multilingual in 10 languages: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, and Chinese. Command R+ is optimized for a variety of use cases including reasoning, summarization, and question answering.
             <br/><br/>
             **Model**: [c4ai-command-r-plus](https://huggingface.co/CohereForAI/c4ai-command-r-plus)
             <br/> 
@@ -108,7 +107,7 @@ with gr.Blocks(analytics_enabled=False, css=custom_css) as demo:
         user_message.submit(fn=generate_response, inputs=[user_message, cid, history], outputs=[chatbot, history, cid], concurrency_limit=32)
 
         submit_button.click(fn=generate_response, inputs=[user_message, cid, history], outputs=[chatbot, history, cid], concurrency_limit=32)
-        clear_button.click(fn=clear_chat, inputs=[cid], outputs=[chatbot, history, cid], concurrency_limit=32)
+        clear_button.click(fn=clear_chat, inputs=None, outputs=[chatbot, history, cid], concurrency_limit=32)
 
         user_message.submit(lambda x: gr.update(value=""), None, [user_message], queue=False)
         submit_button.click(lambda x: gr.update(value=""), None, [user_message], queue=False)