Update app.py

app.py

@@ -1,17 +1,15 @@
 import streamlit as st
 import os
 import sys
-
-# FIX 1: Corrected imports for CrewAI 2.0+
 from crewai import Agent, Task, Crew, Process
 from crewai.tools import BaseTool
 from crewai_tools import SerperDevTool
 from langchain_openai import ChatOpenAI 
 
-# --- 1. PAGE CONFIGURATION ---
+
 st.set_page_config(page_title="Smart Relocation Assistant", page_icon="🏘️", layout="wide")
 
-st.title("🏘️ Smart Relocation Assistant")
+st.title("Smart Relocation Assistant")
 st.markdown("Use AI Agents to find your perfect neighborhood based on budget and lifestyle.")
 
 # --- 2. API KEY SETUP ---
@@ -20,7 +18,7 @@ openai_api_key = os.getenv("OPENAI_API_KEY")
 serper_api_key = os.getenv("SERPER_API_KEY")
 
 if not (openai_api_key and serper_api_key):
-    st.error("🚨 API Keys not found!")
+    st.error(" API Keys not found!")
     st.warning("Please set OPENAI_API_KEY and SERPER_API_KEY in your Hugging Face Space 'Settings' -> 'Variables and secrets'.")
     st.stop()
 
@@ -33,7 +31,7 @@ os.environ["SERPER_API_KEY"] = serper_api_key
 # The Search Tool is now initialized here
 search_tool = SerperDevTool()
 
-# Custom Calculator Tool (inherits from the now-correctly imported BaseTool)
+# Custom Calculator Tool 
 class CalculatorTool(BaseTool):
     name: str = "Budget Calculator"
     description: str = "Useful for calculating if a rent price fits within a budget. Input must be a mathematical expression."
@@ -47,8 +45,7 @@ class CalculatorTool(BaseTool):
 
 calc_tool = CalculatorTool()
 
-# --- 4. LLM DEFINITION (The "gpt-4o-mini" Fix) ---
-# FIX 2: Explicitly define the gpt-4o-mini model
+# --- 4. LLM DEFINITION
 gpt_4o_mini = ChatOpenAI(
     model="gpt-4o-mini",
     temperature=0.7 
@@ -69,13 +66,12 @@ preferences = st.text_area("Lifestyle Preferences", "Walkable, near coffee shops
 # --- 6. AGENT & TASK DEFINITIONS (Defined in the function for cleaner scope) ---
 
 def run_crew_analysis(city, work_location, budget, preferences):
-    # FIX 2 (CONT.): Passing the LLM instance to the Agents
     city_scout = Agent(
         role='City Neighborhood Scout',
         goal=f'Identify the top 3 neighborhoods in {city} that match these preferences: {preferences}.',
         backstory="You are a local expert who knows every corner of the city. You prioritize safety, commute, and lifestyle fit.",
         tools=[search_tool],
-        llm=gpt_4o_mini, # Explicit LLM setting
+        llm=gpt_4o_mini, 
         verbose=True,
         allow_delegation=False
     )
@@ -85,7 +81,7 @@ def run_crew_analysis(city, work_location, budget, preferences):
         goal=f'Assess the affordability of specific neighborhoods and ensure rent is within {budget}.',
         backstory="You are a pragmatic financial advisor. You strictly filter out any options that exceed the user's budget.",
         tools=[search_tool, calc_tool],
-        llm=gpt_4o_mini, # Explicit LLM setting
+        llm=gpt_4o_mini, 
         verbose=True,
         allow_delegation=False
     )
@@ -113,20 +109,20 @@ def run_crew_analysis(city, work_location, budget, preferences):
         agents=[city_scout, budget_analyst],
         tasks=[scout_task, analysis_task, report_task],
         process=Process.sequential,
-        llm=gpt_4o_mini # Explicit LLM setting
+        llm=gpt_4o_mini 
     )
 
     return relocation_crew.kickoff()
 
 # --- 7. BUTTON TRIGGER ---
 if st.button("Start Research", type="primary"):
-    with st.spinner('🤖 AI Agents are scouting neighborhoods and crunching numbers...'):
+    with st.spinner('AI Agents are scouting neighborhoods and crunching numbers...'):
         try:
             result = run_crew_analysis(city, work_location, budget, preferences)
             
             # Display Results
             st.success("Research Complete!")
-            st.markdown("### 📋 Your Relocation Plan")
+            st.markdown("### Your Relocation Plan")
             st.markdown(result)
             
         except Exception as e: