..

app.py

@@ -7,6 +7,12 @@ from io import BytesIO
 # Initialize the client
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+# Default settings
+default_system_message = "You are a friendly Chatbot meant to assist users in managing social media posts ensuring they meet community guidelines"
+default_max_tokens = 512
+default_temperature = 0.7
+default_top_p = 0.95
+
 # Define the function to respond to user inputs
 def respond(message, history, system_message, max_tokens, temperature, top_p):
     messages = [{"role": "system", "content": system_message}]
@@ -29,7 +35,7 @@ def respond(message, history, system_message, max_tokens, temperature, top_p):
     return response.choices[0].message['content']
 
 # Define the function to generate posts
-def generate_post(prompt, max_tokens, temperature, top_p):
+def generate_post(prompt, system_message, max_tokens, temperature, top_p):
     response = client.chat_completion(
         [{"role": "user", "content": prompt}],
         max_tokens=max_tokens,
@@ -83,34 +89,14 @@ with demo:
             with gr.Column():
                 chat_interface = gr.ChatInterface(
                     respond,
-                    additional_inputs=[
-                        gr.Textbox(value="You are a friendly Chatbot meant to assist users in managing social media posts ensuring they meet community guidelines", label="System message", visible=False),
-                        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens", visible=False),
-                        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature", visible=False),
-                        gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)", visible=False),
-                    ],
+                    additional_inputs=[],
                 )
-                advanced_button = gr.Button("Show Advanced Settings")
-                advanced_settings = gr.Column(visible=False)
-                with advanced_settings:
-                    chat_interface.additional_inputs[0].visible = True
-                    chat_interface.additional_inputs[1].visible = True
-                    chat_interface.additional_inputs[2].visible = True
-                    chat_interface.additional_inputs[3].visible = True
-                
-                def toggle_advanced_settings():
-                    advanced_settings.visible = not advanced_settings.visible
-                
-                advanced_button.click(toggle_advanced_settings, [], advanced_settings)
         
         with gr.TabItem("Generate Post"):
             post_prompt = gr.Textbox(label="Post Prompt")
-            max_tokens = gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens")
-            temperature = gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature")
-            top_p = gr.Slider(minimum=0.1, maximum=1.0, value=0.95, step=0.05, label="Top-p (nucleus sampling)")
             generate_button = gr.Button("Generate Post")
             generated_post = gr.Textbox(label="Generated Post")
-            generate_button.click(generate_post, [post_prompt, max_tokens, temperature, top_p], generated_post)
+            generate_button.click(generate_post, [post_prompt, default_system_message, default_max_tokens, default_temperature, default_top_p], generated_post)
         
         with gr.TabItem("Moderate Post"):
             post_content = gr.Textbox(label="Post Content")
@@ -129,6 +115,17 @@ with demo:
             moderate_image_button = gr.Button("Moderate Image")
             image_moderation_result = gr.Textbox(label="Image Moderation Result")
             moderate_image_button.click(moderate_image, uploaded_image, image_moderation_result)
+        
+        with gr.TabItem("Settings"):
+            system_message = gr.Textbox(value=default_system_message, label="System message")
+            max_tokens = gr.Slider(minimum=1, maximum=2048, value=default_max_tokens, step=1, label="Max new tokens")
+            temperature = gr.Slider(minimum=0.1, maximum=4.0, value=default_temperature, step=0.1, label="Temperature")
+            top_p = gr.Slider(minimum=0.1, maximum=1.0, value=default_top_p, step=0.05, label="Top-p (nucleus sampling)")
+
+            settings_button = gr.Button("Save Settings")
+            settings_button.click(lambda sm, mt, temp, tp: (sm, mt, temp, tp), 
+                                  inputs=[system_message, max_tokens, temperature, top_p],
+                                  outputs=[system_message, max_tokens, temperature, top_p])
 
 if __name__ == "__main__": 
-    demo.launch()
+    demo.launch()