tt

app.py

@@ -1,18 +1,19 @@
 import gradio as gr
 
+
 def generate(sysA, sysB, wa, wb, user_input):
-    # Example blending logic — replace with your actual model call
-    response = (
-        f"System Prompt A: {sysA}\n"
-        f"System Prompt B: {sysB}\n"
-        f"Weight A: {wa}\n"
-        f"Weight B: {wb}\n"
-        f"User message: {user_input}\n\n"
-        "=== Response ===\n"
-        f"Blended response based on weights."
-    )
+    # Simple blending: concatenate weighted system prompts with user input
+    # For example, we just repeat sysA and sysB according to weights (rounded)
+    prompt_a = (sysA + " ") * max(0, int(round(wa)))
+    prompt_b = (sysB + " ") * max(0, int(round(wb)))
+
+    blended_prompt = prompt_a + prompt_b + "\nUser: " + user_input
+
+    # Pretend model response is just echoing blended prompt
+    response = f"Blended prompt sent to model:\n{blended_prompt}"
     return response
 
+
 with gr.Blocks() as demo:
     gr.Markdown("# Multi-System Prompt Chat Demo")
 
@@ -24,7 +25,7 @@ with gr.Blocks() as demo:
         wa = gr.Slider(-5.0, 5.0, value=1.0, step=0.1, label="Weight wA")
         wb = gr.Slider(-5.0, 5.0, value=1.0, step=0.1, label="Weight wB")
 
-    user_input = gr.Textbox(label="User Message", placeholder="Type your message here...")
+    user_input = gr.Textbox(label="User Message", lines=2)
     output = gr.Textbox(label="Model Response", lines=10)
 
     submit_btn = gr.Button("Send")