update textbox properties

app.py

@@ -48,6 +48,8 @@ def predict(inputs, top_p, temperature, top_k, repetition_penalty, history=[]):
         token_counter+=1
         yield chat, history #{chatbot: chat, state: history}  #[(partial_words, history)]
 
+def reset_textbox():
+    return gr.update(value='')
 
 title = """<h1 align="center">Streaming your Chatbot output with Gradio</h1>"""
 description = """Language models can be conditioned to act like dialogue agents through a conversational prompt that typically takes the form:
@@ -77,10 +79,11 @@ with gr.Blocks(css = """#col_container {width: 700px; margin-left: auto; margin-
             top_k = gr.Slider( minimum=1, maximum=50, value=4, step=1, interactive=True, label="Top-k",)
             repetition_penalty = gr.Slider( minimum=0.1, maximum=3.0, value=1.03, step=0.01, interactive=True, label="Repetition Penalty", )
     
-    #b1.click(predict, [t,s], [c,s])
-    #inputs.submit(predict, [t,s], [c,s])
+
     inputs.submit( predict, [inputs, top_p, temperature, top_k, repetition_penalty, state], [chatbot, state],)
     b1.click( predict, [inputs, top_p, temperature, top_k, repetition_penalty, state], [chatbot, state],)
-
+    b1.click(reset_textbox, [], [inputs])
+    inputs.submit(reset_textbox, [], [inputs])
+                    
     gr.Markdown(description)
     demo.queue().launch(debug=True)