placeholders, copy buttons, panel layout, likeable responses

app.py

@@ -100,7 +100,7 @@ def respond(
 # -------------------------
 
 # Create a Chatbot component with a specified height
-chatbot = gr.Chatbot(height=600)  # Define the height of the chatbot interface
+chatbot = gr.Chatbot(height=600, show_copy_button=True, placeholder="Select a model and begin chatting", show_copy_all_button=True, likeable=True, layout="panel")  # Define the height of the chatbot interface
 print("Chatbot interface created.")
 
 # Create textboxes and sliders for system prompt, tokens, and other parameters
@@ -172,75 +172,18 @@ demo = gr.ChatInterface(
     ],
     fill_height=True,  # Allow the chatbot to fill the container height
     chatbot=chatbot,   # Chatbot UI component
+    textbox=gr.MultimodalTextbox(),
+    multimodal=True,
+    concurrency_limit=20,
     theme="Nymbo/Nymbo_Theme",  # Theme for the interface
+    examples=[{"text": "Howdy, partner!",},
+              {"text": "What's your model name and who trained you?",},
+              {"text": "How many R's are there in the word Strawberry?"},],
+    cache_examples=False
 )
 
 print("ChatInterface object created.")
 
-# -----------
-# ADDING THE INFORMATION TAB
-# -----------
-with demo:
-    with gr.Tab("Information"):
-        with gr.Accordion("Featured Models", open=True):
-            gr.HTML(
-                """
-                <p><a href="https://huggingface.co/models?inference=warm&pipeline_tag=text-generation&sort=trending">See all available models</a></p>
-                <table style="width:100%; text-align:center; margin:auto;">
-                    <tr>
-                        <th>Model Name</th>
-                        <th>Context Length</th>
-                        <th>Notes</th>
-                    </tr>
-                    <tr>
-                        <td>meta-llama/Llama-3.3-70B-Instruct</td>
-                        <td>8192</td>
-                        <td>Most capable model</td>
-                    </tr>
-                    <tr>
-                        <td>meta-llama/Llama-3.2-3B-Instruct</td>
-                        <td>8192</td>
-                        <td>Lightweight option</td>
-                    </tr>
-                    <tr>
-                        <td>google/gemma-2-27b-it</td>
-                        <td>8192</td>
-                        <td>Google's latest</td>
-                    </tr>
-                    <tr>
-                        <td>mistralai/Mixtral-8x7B-Instruct-v0.1</td>
-                        <td>32768</td>
-                        <td>High context length</td>
-                    </tr>
-                </table>
-                """
-            )
-        
-        with gr.Accordion("Parameters Overview", open=False):
-            gr.Markdown(
-                """
-                ## System Message
-                ###### This is the initial instruction that guides the model's behavior throughout the conversation. It sets the tone and personality of the assistant.
-
-                ## Max Tokens
-                ###### Controls the maximum length of the generated response. Higher values allow for longer responses but may take more time to generate.
-
-                ## Temperature
-                ###### Controls the randomness of predictions by scaling the logits before applying softmax. Lower values make the model more deterministic.
-
-                ## Top-P (Nucleus Sampling)
-                ###### Controls sampling by selecting from the smallest possible set of tokens whose cumulative probability exceeds the probability p.
-
-                ## Frequency Penalty
-                ###### Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
-
-                ## Seed
-                ###### The seed value provides reproducibility. Using the same seed with the same parameters will produce the same output.
-
-                ### Remember, these settings are all about giving you control over the text generation process. Feel free to experiment and see what each one does. Happy generating!
-                """
-            )
-
 # -----------
 # ADDING THE "FEATURED MODELS" ACCORDION
 # -----------