updated gradio interface

app.py

@@ -92,18 +92,10 @@ def bot(history,temperature, max_new_tokens, top_p,top_k):
         do_sample=True
     )
 
-    # convert the tokens to text, and then split the responses into lines
+    # clean up response before returning
     response = tokenizer.batch_decode(response, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
-    #response = response.split("### Tanggapan:")
-    #response = response[1].strip() if len(response) > 1 else ""
     sections = response.split("###")
-
-    # Ambil potongan yang berisi "Tanggapan" yang pertama
     response = sections[3]
-
-    #return response.split("Tanggapan:")[1].strip()
-    #history[-1] = response.split("Tanggapan:")[1].strip()
-    #return history
     response=response.split("Tanggapan:")[1].strip()
     history[-1][1] = response
     return history
@@ -114,30 +106,32 @@ with gr.Blocks() as demo:
                 """# ChatDoctor - PolyLM 1.7b 🩺
                 
                 A [ChatDoctor - PolyLM 1.7b](https://huggingface.co/fadliaulawi/polylm-1.7b-finetuned) demo.
-                From the [PolyLM 1.7b](https://huggingface.co/DAMO-NLP-MT/polylm-1.7b) model and finetuned on [ChatDoctor](https://github.com/Kent0n-Li/ChatDoctor) dataset.
+                From the [PolyLM 1.7b](https://huggingface.co/DAMO-NLP-MT/polylm-1.7b) model and finetuned on the Indonesian translation of [ChatDoctor](https://github.com/Kent0n-Li/ChatDoctor) dataset.
                 
                 """
             )
-  with gr.Row() as row:
-    with gr.Column():
-      msg = gr.Textbox()
-      temperature = gr.Slider(0, 5, value=0.8, step=0.1, label='Temperature')
-      max_length = gr.Slider(0, 1024, value=50, step=1, label='Max Length')
-      top_p = gr.Slider(0, 1, value=0.8, step=0.1, label='Top P')
-      top_k = gr.Slider(0, 50, value=10, step=1, label='Top K')
-      submit = gr.Button("Submit")
-      clear = gr.Button("Clear")
-    with gr.Column():
-      chatbot = gr.Chatbot()
-      examples = gr.Examples(examples=["Dokter, aku merasa sangat depresi akhir-akhir ini dan juga mengalami perubahan suhu tubuhku.", 
-                                       "Dokter, aku mengalami kelelahan akhir-akhir ini.",
-                                       "Dokter, aku merasa pusing, lemah dan sakit dada tajam akhir-akhir ini.",
+  
+  chatbot = gr.Chatbot()
+  msg = gr.Textbox()
+  submit = gr.Button("Submit")
+  clear = gr.Button("Clear")
+  examples = gr.Examples(examples=["Dokter, aku mengalami kelelahan akhir-akhir ini.", "Dokter, aku merasa pusing, lemah dan sakit dada tajam akhir-akhir ini.",
+                                       "Dokter, aku merasa sangat depresi akhir-akhir ini dan juga mengalami perubahan suhu tubuhku.", 
                                        "Dokter, saya sudah beberapa minggu mengalami suara serak dan tidak kunjung membaik meski sudah minum obat. Apa masalahnya?"
                                        ],inputs=[msg])
+  
+  gr.Markdown(
+                """## Adjust the additional inputs:"""
+            )
+  
+  temperature = gr.Slider(0, 5, value=0.8, step=0.1, label='Temperature',info="Controls randomness, higher values increase diversity.")
+  max_length = gr.Slider(0, 1024, value=50, step=1, label='Max Length',info="The maximum numbers of output's tokens.")
+  top_p = gr.Slider(0, 1, value=0.8, step=0.1, label='Top P',info="The cumulative probability cutoff for token selection. Lower values mean sampling from a smaller, more top-weighted nucleus.")
+  top_k = gr.Slider(0, 50, value=10, step=1, label='Top K',info="Sample from the k most likely next tokens at each step. Lower k focuses on higher probability tokens.")
 
-    submit.click(user, [msg, chatbot], [msg, chatbot], queue=False).then(
+  submit.click(user, [msg, chatbot], [msg, chatbot], queue=False).then(
         bot, [chatbot,temperature,max_length,top_p,top_k], chatbot
     )
-    clear.click(lambda: None, None, chatbot, queue=False)
+  clear.click(lambda: None, None, chatbot, queue=False)
 
 demo.queue(concurrency_count=100).launch()