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app.py

@@ -1,10 +1,11 @@
 
-import gradio as gr
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 
-tokenizer = AutoTokenizer.from_pretrained("FinGPT/fingpt-mt_llama2-7b_lora", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("FinGPT/fingpt-mt_llama2-7b_lora", trust_remote_code=True, device_map="auto")
+base_model = "meta‑llama/Llama‑2‑7b‑chat‑hf"   # base tokenizer
+adapter = "FinGPT/fingpt‑mt_llama2‑7b_lora"
 
+tokenizer = AutoTokenizer.from_pretrained(base_model)
+model = AutoModelForCausalLM.from_pretrained(adapter, device_map="auto")
 pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
 
 chat_history = []