Create validator.py

components/validator.py

@@ -3,7 +3,7 @@
 import streamlit as st
 from langchain_core.output_parsers import StrOutputParser
 from langchain_core.prompts import ChatPromptTemplate
-from langchain_community.chat_models import ChatGroq
+from langchain_groq import ChatGroq
 from utils.session import load_from_json, save_to_json
 
 def run_validator():
@@ -18,7 +18,6 @@ def run_validator():
         prompt = ChatPromptTemplate.from_template("""
         You are an expert startup evaluator. Evaluate the following business model canvas:
         {canvas_data}
-
         For each of the 9 blocks, provide feedback on:
         1. Clarity
         2. Feasibility
@@ -31,4 +30,4 @@ def run_validator():
 
     st.success("✅ Canvas evaluated successfully.")
     st.markdown("### 📊 Feedback Summary")
-    st.markdown(result)
+    st.markdown(result)