Upload app.py

app.py

@@ -19,15 +19,15 @@ os.environ["OPENAI_API_KEY"] = "your-key-here"
 llm = ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0)
 
 # ✅ Load HF model with preloaded config
+from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
+
 model_id = "BivinSadler/llama3-finetuned-Statistics"
-config = AutoConfig.from_pretrained(model_id, trust_remote_code=True,use_fast=False)
-general_stat_agent = pipeline(
-    "text2text-generation",
-    model=model_id,
-    tokenizer=model_id,
-    config=config,
-    trust_remote_code=True
-)
+
+tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=False)
+model = AutoModelForSeq2SeqLM.from_pretrained(model_id)
+
+general_stat_agent = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
+
 
 # ✅ Function to build a RAG agent from a PDF
 def build_rag_agent(pdf_path):