added -> theme, examples, textbox

app.py

@@ -5,6 +5,8 @@ from ctransformers import AutoTokenizer, AutoModelForCausalLM
 model_id = "TheBloke/Mistral-7B-Instruct-v0.1-GGUF"
 model_file = "mistral-7b-instruct-v0.1.Q4_K_M.gguf"
 model_type = "mistral"
+
+# it's a quantization model
 quant_model = AutoModelForCausalLM.from_pretrained(model_id, model_file = model_file , model_type= model_type)
 
 
@@ -31,10 +33,16 @@ def lechat_respond(
         yield response
 
 
+#chat interface for le_chat
 mistral_chat = gr.ChatInterface(
     fn = lechat_respond,
     type = 'messages',
     additional_inputs=[
+        textbox = gr.Textbox(placeholder= "Ask whatever"), 
+        theme= "ocean",
+        examples= [["Write a haiku about destruction of human's and the raise of AI "], 
+                ["Which species will rule the earth in the future"]],
+        cache_examples= True,
         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
         gr.Slider(minimum=0.1, maximum=4.0, value=0.8, step=0.1, label="Temperature"),
         gr.Slider(
@@ -44,7 +52,7 @@ mistral_chat = gr.ChatInterface(
             step=0.05,
             label="Top-p (nucleus sampling)",
         ),
-        gr.Slider(minimum = 40, maximum = 31999, value = 40, step = 10, label = "Top-k")
+        gr.Slider(minimum = 40, maximum = 10000, value = 40, step = 10, label = "Top-k")
     ],
 )