Update app.py

app.py

@@ -5,7 +5,7 @@ from langchain.vectorstores import FAISS
 from langchain.embeddings import HuggingFaceEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.document_loaders import PyPDFLoader
-from langchain_huggingface import ChatHuggingFaceEndpoint
+from langchain_huggingface import HuggingFaceEndpoint
 import tempfile
 
 # Initialize global variables
@@ -29,12 +29,15 @@ def process_pdf(file):
     retriever = vectorstore.as_retriever(search_kwargs={"k": 4})
 
     # ✅ Wrap DeepSeek model properly
-    llm = ChatHuggingFaceEndpoint(
-        repo_id="deepseek-ai/DeepSeek-R1-0528",
-        temperature=0.7,
-        max_new_tokens=512
+    llm = HuggingFaceEndpoint(
+        repo_id="deepseek-ai/DeepSeek-R1-0528",  # Example model
+        task="text-generation",
+        max_new_tokens=512,
+        do_sample=False,
+        repetition_penalty=1.03,
+        provider="auto", # or specify a provider like "hyperbolic"
     )
-
+    
     retrieval_chain = ConversationalRetrievalChain.from_llm(
         llm=llm,
         retriever=retriever,