Update app.py

app.py

@@ -1,16 +1,17 @@
 import gradio as gr
-from langchain_community.document_loaders import PyPDFLoader
+from langchain_community.document_loaders.pdf import PyPDFLoader
 from langchain_community.embeddings import HuggingFaceEmbeddings
-from langchain.vectorstores import FAISS
+from langchain_community.vectorstores.faiss import FAISS
 from sklearn.metrics.pairwise import cosine_similarity
 from langchain_groq import ChatGroq
-from langchain.chains import LLMChain
-from langchain.prompts import PromptTemplate
+from langchain_core.prompts import PromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+from langchain_core.runnables import RunnablePassthrough
 import numpy as np
 import os
 
 # ✅ Set Groq API Key
-os.environ["GROQ_API_KEY"] = "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"  # Replace with your actual Groq API key
+os.environ["GROQ_API_KEY"] = "your_groq_api_key_here"  # Replace with your actual Groq API key
 
 def extract_text_from_pdf(pdf_file):
     temp_path = f"temp_{pdf_file.name}"
@@ -44,9 +45,9 @@ def generate_skill_gap_report(user_skills, job_skills, missing_skills, match_per
     """
 
     prompt = PromptTemplate.from_template(template)
-    chain = LLMChain(llm=llm, prompt=prompt)
+    chain = prompt | llm | StrOutputParser()
 
-    report = chain.run({
+    report = chain.invoke({
         "user_skills": ", ".join(user_skills),
         "job_skills": ", ".join(job_skills),
         "missing_skills": ", ".join(missing_skills),