Setting the app as inactive (#132)

- Setting the app as inactive (287a2f3730f695e2f1d6bd6b787522bd7a8629ac)
- Setting inputs noninteractive (6c8ace4020b8da4ad5a2230b391aefdc60ee8929)

README.md

@@ -4,7 +4,7 @@ emoji: 💻
 colorFrom: green
 colorTo: indigo
 sdk: gradio
-sdk_version: 4.13.0
+sdk_version: 4.31.5
 app_file: app.py
 pinned: false
 license: mit

app.py

@@ -9,7 +9,11 @@ api_url = os.getenv('API_URL')
 headers = {"Authorization": f"Bearer {HF_TOKEN}"}
 client = AsyncInferenceClient(api_url)
 
-
+PLACEHOLDER = '''
+<h2>Important Notice</h2>
+<p>Thank you for your interest in <strong>"Explore_llamav2_with_TGI".</strong> This space is no longer active. We encourage you to explore our other popular Llama2 Spaces, linked in the description above, for similar content and resources.</p>
+<p>We appreciate your understanding and continued support.</p>
+'''
 system_message = "\nYou are a helpful, respectful and honest assistant. Always answer as helpfully as possible, while being safe.  Your answers should not include any harmful, unethical, racist, sexist, toxic, dangerous, or illegal content. Please ensure that your responses are socially unbiased and positive in nature.\n\nIf a question does not make any sense, or is not factually coherent, explain why instead of answering something not correct. If you don't know the answer to a question, please don't share false information."
 title = "Llama2 70B Chatbot"
 description = """
@@ -126,14 +130,14 @@ def vote(data: gr.LikeData):
         
 
 additional_inputs=[
-    gr.Textbox("", label="Optional system prompt"),
+    gr.Textbox("", label="Optional system prompt", interactive=False),
     gr.Slider(
         label="Temperature",
         value=0.9,
         minimum=0.0,
         maximum=1.0,
         step=0.05,
-        interactive=True,
+        interactive=False,
         info="Higher values produce more diverse outputs",
     ),
     gr.Slider(
@@ -142,7 +146,7 @@ additional_inputs=[
         minimum=0,
         maximum=4096,
         step=64,
-        interactive=True,
+        interactive=False,
         info="The maximum numbers of new tokens",
     ),
     gr.Slider(
@@ -151,7 +155,7 @@ additional_inputs=[
         minimum=0.0,
         maximum=1,
         step=0.05,
-        interactive=True,
+        interactive=False,
         info="Higher values sample more low-probability tokens",
     ),
     gr.Slider(
@@ -160,31 +164,40 @@ additional_inputs=[
         minimum=1.0,
         maximum=2.0,
         step=0.05,
-        interactive=True,
+        interactive=False,
         info="Penalize repeated tokens",
     )
 ]
 
-chatbot_stream = gr.Chatbot(avatar_images=('user.png', 'bot2.png'),bubble_full_width = False)
-chatbot_batch = gr.Chatbot(avatar_images=('user1.png', 'bot1.png'),bubble_full_width = False)
+chatbot_stream = gr.Chatbot(avatar_images=('user.png', 'bot2.png'),bubble_full_width = False, placeholder=PLACEHOLDER)
+chatbot_batch = gr.Chatbot(avatar_images=('user1.png', 'bot1.png'),bubble_full_width = False, placeholder=PLACEHOLDER)
 chat_interface_stream = gr.ChatInterface(predict, 
                  title=title, 
                  description=description, 
-                 textbox=gr.Textbox(),
+                 textbox=gr.Textbox(interactive=False),
                  chatbot=chatbot_stream,
                  css=css, 
-                 examples=examples, 
+                 submit_btn = gr.Button('Submit', interactive=False),
+                 retry_btn = gr.Button('🔄 Retry', interactive=False),
+                 undo_btn = gr.Button('↩️ Undo', interactive=False),
+                 clear_btn = gr.Button('🗑️ Clear', interactive=False),
+                 #examples=examples, 
                  #cache_examples=True, 
                  additional_inputs=additional_inputs,) 
 chat_interface_batch=gr.ChatInterface(predict_batch, 
                  title=title, 
                  description=description, 
-                 textbox=gr.Textbox(),
+                 textbox=gr.Textbox(interactive=False),
                  chatbot=chatbot_batch,
                  css=css, 
-                 examples=examples, 
+                 submit_btn = gr.Button('Submit', interactive=False),
+                 retry_btn = gr.Button('🔄 Retry', interactive=False),
+                 undo_btn = gr.Button('↩️ Undo', interactive=False),
+                 clear_btn = gr.Button('🗑️ Clear', interactive=False),
+                 #examples=examples, 
                  #cache_examples=True, 
                  additional_inputs=additional_inputs,) 
+ 
 
 # Gradio Demo 
 with gr.Blocks() as demo: