Update app.py

app.py

@@ -9,7 +9,7 @@ st.set_page_config(page_title='Smoke & Fire Detection')
 if 'history' not in st.session_state:
     st.session_state.history = []
 
-@st.cache(persist=True)
+@st.cache(persist=True, allow_output_mutation=True)
 def loadModel():
     pipeline = pip(task="image-classification", model="EdBianchi/vit-fire-detection")
     return pipeline
@@ -59,8 +59,8 @@ The fine-tuned model is hosted on the [Hugging Face Hub](https://huggingface.co/
 
 The dataset for fine-tuning process was custom made from different datasets, in particular:
 
-- Samples from "train_fire" and samples from "train_smoke" from https://www.kaggle.com/datasets/kutaykutlu/forest-fire?select=train_fire
-- All the samples (mixed together from further splitting) from https://www.kaggle.com/datasets/mohnishsaiprasad/forest-fire-images
+- Samples from "train_fire" and samples from "train_smoke" from [forest-fire dataset](https://www.kaggle.com/datasets/kutaykutlu/forest-fire?select=train_fire).
+- All the samples (mixed together from further splitting) from [forest-fire-images dataset](https://www.kaggle.com/datasets/mohnishsaiprasad/forest-fire-images).
 
 The custom dataset is hosted on the [Hugging Face Hub](https://huggingface.co/datasets/EdBianchi/SmokeFire).
 """)