updated app.py file, updated dataset

app.py

@@ -3,14 +3,13 @@ import gradio as gr
 import pandas as pd
 import plotly.express as px
 
-
-# Load the dataset from Hugging Face
+# load the dataset
 ds = load_dataset("egecandrsn/weatherdata")
 
-# Access the 'train' split
-df = ds['train']
+# Convert the dataset into a pandas DataFrame
+df = pd.DataFrame(ds['train'])  # Assuming the dataset has a 'train' split
 
-# Convert datetime to datetime format
+# Now you can modify the DataFrame
 df['datetime'] = pd.to_datetime(df['datetime'])
 
 # Function for generating temperature trends