Update app.py

app.py

@@ -29,13 +29,16 @@ def process_pdf(file):
     retriever = vectorstore.as_retriever(search_kwargs={"k": 4})
 
     # ✅ Wrap DeepSeek model properly
+    repo_id = "deepseek-ai/DeepSeek-R1-0528"
+
     llm = HuggingFaceEndpoint(
-        repo_id="meta-llama/Llama-2-7b-chat-hf",  # Example model
-        task="text-generation",
-        max_new_tokens=512,
-        do_sample=False,
-        repetition_penalty=1.03,
-        provider="huggingface", # or specify a provider like "hyperbolic"
+        repo_id=repo_id,
+        max_length=128,
+        temperature=0.5,
+        provider="auto",  # set your provider here hf.co/settings/inference-providers
+        # provider="hyperbolic",
+        # provider="nebius",
+        # provider="together",
     )
     
     retrieval_chain = ConversationalRetrievalChain.from_llm(