Update app.py to avoid using specific VLM model version

app.py

@@ -40,11 +40,18 @@ def save_state_to_disk(dataframe_rows):
     except Exception as e:
         print(f"⚠️ Critical storage write failure: {e}")
 
+# =====================================================================
+# 🤖 FIXED COMPACT VISION-LANGUAGE INFRASTRUCTURE (CPU Optimized)
+# =====================================================================
 print("🤖 Initializing Edge-native Vision-Telemetry Model...")
 model_id = "vikhyatk/moondream2"
-revision = "2024-05-20" # Use a stable release
-model = AutoModelForCausalLM.from_pretrained(model_id, revision=revision, trust_remote_code=True)
-tokenizer = AutoTokenizer.from_pretrained(model_id, revision=revision)
+
+# Removing the old revision tag forces transformers to fetch their updated, stable script
+model = AutoModelForCausalLM.from_pretrained(
+    model_id, 
+    trust_remote_code=True
+)
+tokenizer = AutoTokenizer.from_pretrained(model_id)
 
 def process_kitchen_operations(input_image, budget, days):
     if input_image is None: