Update app.py

app.py

@@ -1,14 +1,9 @@
 # -*- coding: utf-8 -*-
-"""app.ipynb
-
-Automatically generated by Colab.
-
-Original file is located at
-    https://colab.research.google.com/drive/1vaVKGg6ycx5H06dSgRVN0d5CzcJquou5
+"""
+SheGuard: Personal Safety Advisor
 """
 
 import os
-from langchain.chains import LLMChain
 from langchain_core.prompts import PromptTemplate
 from langchain_groq import ChatGroq
 from googleapiclient.discovery import build
@@ -44,8 +39,8 @@ prompt_template = PromptTemplate(
     )
 )
 
-# Create the LLMChain
-chain = LLMChain(llm=llm, prompt=prompt_template)
+# Create the chain using LCEL (LangChain Expression Language)
+chain = prompt_template | llm
 
 # Function to fetch YouTube videos with clickable links
 def search_youtube_videos(query, max_results=2):
@@ -80,13 +75,13 @@ def get_youtube_links(age_range):
 # Safety Advice Function
 def safety_advice(user_input, age_range):
     if not user_input.strip():
-        return "⚠️ Please enter a situation to receive advice.", "<p></p>"  # Empty HTML for videos
+        return "⚠️ Please enter a situation to receive advice.", "<p></p>"
 
-    response = chain.run(user_input=user_input, age_range=age_range)
+    response = chain.invoke({"user_input": user_input, "age_range": age_range}).content
     links_html = get_youtube_links(age_range)
-    
+
     return f"{response}", links_html  # Markdown for text, HTML for videos
-    
+
 # Function to clear fields
 def clear_fields():
     return "", "30+ (Adult)", "", ""
@@ -119,4 +114,4 @@ with gr.Blocks() as app:
     generate_button.click(safety_advice, inputs=[situation_input, age_range_input], outputs=[advice_output, video_output])
     clear_button.click(clear_fields, inputs=[], outputs=[situation_input, age_range_input, advice_output, video_output])
 
-app.launch(share=True)
+app.launch(share=True)