Update app.py

app.py

@@ -12,29 +12,10 @@ from accelerate import init_empty_weights
 from transformers import AutoProcessor, AutoModelForPreTraining
 from transformers import MllamaForConditionalGeneration, AutoProcessor
 
-# Configure Gemini API
-# genai.configure(api_key=os.getenv("gkey2"))
 
-# Define the prompt template
-# prompt = ChatPromptTemplate.from_messages(
-#     [
-#         ("system", "You are a helpful assistant. Please respond to the user's queries."),
-#         ("user", "Question: {question}")
-#     ]
-# )
 
 prompt="<|image|><|begin_of_text|>You are a helpful assistant. Please respond to the user's queries."
 
-# Initialize the Llama model
-# model = Ollama(model="llama3.2")
-
-
-# model = MllamaForConditionalGeneration.from_pretrained(
-#     model_id,
-#     torch_dtype=torch.bfloat16,
-#     device_map="auto",
-# )
-# processor = AutoProcessor.from_pretrained(model_id)
 
 
 model_id = "meta-llama/Llama-3.2-11B-Vision"