response

app.py

@@ -2,6 +2,8 @@ import gradio as gr
 import random
 from huggingface_hub import InferenceClient
 
+travel_plan_output=""
+
 def match_europe(scores):
     a = scores.count("A")
     b = scores.count("B")
@@ -30,7 +32,7 @@ def match_europe(scores):
         elif e > a and e > b and e > c and e > d:
             return "Barcelona, Spain"
         else:
-            return "Rome"
+            return "Sydney, Australia"
 questions_europe = [
     ("1. What kind of people do you enjoy meeting?", [
         ("A", "Locals who know the city's deep history and culture."),
@@ -101,6 +103,17 @@ with gr.Blocks() as demo:
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 # change the LLM
 
+def respond_plan(location, age_range, length):
+    global travel_plan_output
+
+    prompt = f"""
+    **Travel Plan Details:**
+    - **To:** {location}
+    - **Travel Length:** {length}
+    - **Any Minors:** {age_range}
+
+    Provide a detailed travel guide based on these inputs.
+    """
 def respond(message, history):
 
     messages = [{"role": "system", "content": "You are a chatbot that helps people plan their trips to make it easier for them. You usually try to give shorter responses unless the customer asks for an itinerary."}]
@@ -153,7 +166,7 @@ with gr.Blocks() as app:
                         ]
                     )
             send_button.click(
-                respond,
+                respond_plan,
                 inputs = [location_input, age_range_input, length_input],
                 outputs = [output_box]