updated app

app.py

@@ -12,6 +12,34 @@ def format_prompt(message, history):
   return prompt
 
 
+description="""The Rapid TGI (Text Generation Inference) has developed by learning purpose 
+                            <h3>Source Code:</h3>
+                            <ul><li><a id='link' href='https://www.facebook.com'>Github Repository</a></li>
+                            <li><a id='link' href=''>Github Repository</a></li></ul>"""
+
+title="<span id='logo'></span>"" Rapid TGI"
+
+css="""
+          .gradio-container {
+              background: rgb(131,58,180);
+              background: linear-gradient(90deg, rgba(131,58,180,1) 0%, rgba(253,29,29,1) 50%, rgba(252,176,69,1) 100%);
+
+              #logo {
+              content: url('https://i.ibb.co/6vz9WjL/chat-bot.png');
+              width: 42px;
+              height: 42px;
+              margin-right: 10px;
+              margin-top: 3px;
+              display:inline-block;
+            };
+
+            #link {
+            color: #fff;
+            background-color: transparent;
+            };
+          }
+          """
+
 def inference(message, history, model="mistralai/Mixtral-8x7B-Instruct-v0.1", Temperature=0.3, tokens=512,top_p=0.95, r_p=0.93):
 
     Temperature = float(Temperature)
@@ -35,21 +63,22 @@ def inference(message, history, model="mistralai/Mixtral-8x7B-Instruct-v0.1", Te
         yield partial_message
 
 
-chatbot = gr.Chatbot(avatar_images=["/content/icons/user.png", "/content/icons/chat_bot.png"], 
+chatbot = gr.Chatbot(avatar_images=["https://i.ibb.co/kGd6XrM/user.png", "https://i.ibb.co/6vz9WjL/chat-bot.png"], 
                      bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True,)
 
 
 UI=  gr.ChatInterface(
         inference,
         chatbot=chatbot,
-        description="The Rapid TGI (Text Generation Inference) has developed by learning purpose",
-        title="Rapid TGI",
+        description=description,
+        title=title,
         additional_inputs_accordion=gr.Accordion(label="Additional Configuration to get better response",open=False),
-        retry_btn=None,
-        undo_btn=None,
+        retry_btn="Retry Again",
+        undo_btn="Undo",
         clear_btn="Clear",
         theme="soft",
         submit_btn="Send",
+        css=css,
         additional_inputs=[
                                 gr.Dropdown(value="mistralai/Mixtral-8x7B-Instruct-v0.1",
                                   choices =["mistralai/Mixtral-8x7B-Instruct-v0.1","HuggingFaceH4/zephyr-7b-beta",
@@ -61,5 +90,6 @@ UI=  gr.ChatInterface(
                                 gr.Slider(value=0.93, maximum=1.0,label="Repetition Penalty"),
                             ],
         examples=[["Hello"], ["can i know about generative ai ?"], ["how can i deploy a LLM in hugguingface inference endpoint ?"]],
+        
     )
-UI.queue().launch(debug=True)
+UI.queue().launch(debug=True, show_api= False, share=True,max_threads=50)