Update app.py

app.py

@@ -6,7 +6,7 @@ import pandas as pd
 import re # For parsing LLM output
 
 # --- HF Inference API for LLM ---
-from huggingface_hub import HfInference
+from huggingface_hub import InferenceClient
 # You can choose a different model, but make sure it's good at instruction following and ReAct-style prompting.
 # Zephyr-7B-beta or Mistral-7B-Instruct are good choices available on the free inference API.
 # Starling-LM-7B-beta is also excellent if available and performant enough.
@@ -16,7 +16,7 @@ LLM_MODEL = "HuggingFaceH4/zephyr-7b-beta" # or "mistralai/Mistral-7B-Instruct-v
 # Name: HF_TOKEN, Value: your_hf_token_here (with read access is usually enough for inference)
 try:
     hf_token = os.getenv("HF_TOKEN")
-    llm_client = HfInference(model=LLM_MODEL, token=hf_token)
+    llm_client = InferenceClient(model=LLM_MODEL, token=hf_token)
 except Exception as e:
     print(f"Error initializing HfInference client: {e}")
     llm_client = None