Update app.py

app.py

@@ -1,21 +1,27 @@
 import os
 import gradio as gr
-from dotenv import load_dotenv
 from openai import OpenAI
-from prompts.main_prompt import MAIN_PROMPT
-
-# ✅ Load API key
-if os.path.exists(".env"):
-    load_dotenv(".env")
 
+# ✅ Ensure OpenAI API Key is Set (Use Secrets in Hugging Face)
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 
-# ✅ Ensure OpenAI API Key Exists
 if not OPENAI_API_KEY:
-    raise ValueError("Missing OpenAI API Key! Make sure .env file contains OPENAI_API_KEY.")
+    raise ValueError("⚠️ Missing OpenAI API Key! Set it in Hugging Face 'Settings' → 'Secrets'.")
 
 client = OpenAI(api_key=OPENAI_API_KEY)
 
+MAIN_PROMPT = """
+### **Module 3: Proportional Reasoning Problem Types**  
+#### **Task Introduction**  
+"Welcome to this module on proportional reasoning problem types!  
+Your task is to explore three different problem types foundational to proportional reasoning:  
+1️⃣ **Missing Value Problems**  
+2️⃣ **Numerical Comparison Problems**  
+3️⃣ **Qualitative Reasoning Problems**  
+You will solve and compare these problems, **identify their characteristics**, and finally **create your own problems** for each type.  
+🚀 **Let's begin! Solve each problem and analyze your solution process.**"  
+"""
+
 def respond(user_message, history):
     if not user_message:
         return "", history
@@ -35,16 +41,16 @@ def respond(user_message, history):
             temperature=0.7,
         ).choices[0].message.content
     except Exception as e:
-        assistant_reply = f"Error: {str(e)}"
+        assistant_reply = f"⚠️ Error: {str(e)}"
 
     history.append((user_message, assistant_reply))
 
     return "", history
 
-# ✅ Ensure Gradio UI Loads
+# ✅ Gradio UI
 with gr.Blocks() as demo:
-    gr.Markdown("# AI-Guided Math PD Chatbot")
-
+    gr.Markdown("# **AI-Guided Math PD Chatbot**")
+    
     chatbot = gr.Chatbot(height=500)
     state_history = gr.State([("", MAIN_PROMPT)])
 
@@ -61,4 +67,4 @@ with gr.Blocks() as demo:
     )
 
 if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860, share=True)
+    demo.launch()