updated app.py code

app.py

@@ -1,17 +1,73 @@
-# Install necessary packages
-# !pip install datasets pandas
-
 from datasets import load_dataset
+import gradio as gr
 import pandas as pd
+import plotly.express as px
+
 
 # Load the dataset from Hugging Face
 ds = load_dataset("egecandrsn/weatherdata")
 
 # Access the 'train' split
-train_df = ds['train']
+df = ds['train']
+
+# Convert datetime to datetime format
+df['datetime'] = pd.to_datetime(df['datetime'])
+
+# Function for generating temperature trends
+def generate_temperature_trends():
+    df['year'] = df['datetime'].dt.year
+    fig = px.line(df.groupby('year')['temp'].mean(), title='Average Temperature Over the Years')
+    return fig
+
+# Function for generating precipitation trends
+def generate_precipitation_trends():
+    df['year'] = df['datetime'].dt.year
+    fig = px.bar(df.groupby('year')['precip'].sum(), title='Total Precipitation Over the Years')
+    return fig
+
+# Function for generating wind speed trends
+def generate_wind_speed_trends():
+    df['year'] = df['datetime'].dt.year
+    fig = px.line(df.groupby('year')['windspeed'].mean(), title='Average Wind Speed Over the Years')
+    return fig
+
+# Calculate Heat Index
+def calculate_heat_index():
+    df['heat_index'] = df['temp'] + (0.55 - 0.55 * df['humidity'] / 100) * (df['temp'] - 58)
+    fig = px.line(df.groupby('year')['heat_index'].mean(), title='Heat Index Over the Years')
+    return fig
+
+# Gradio interface
+interface = gr.Interface(
+    fn=generate_temperature_trends,
+    inputs=[],
+    outputs=gr.Plot(),
+    title="Weather Analysis - Temperature Trends"
+)
+
+interface2 = gr.Interface(
+    fn=generate_precipitation_trends,
+    inputs=[],
+    outputs=gr.Plot(),
+    title="Weather Analysis - Precipitation Trends"
+)
+
+interface3 = gr.Interface(
+    fn=generate_wind_speed_trends,
+    inputs=[],
+    outputs=gr.Plot(),
+    title="Weather Analysis - Wind Speed Trends"
+)
 
-# Convert the dataset to a pandas DataFrame for easier viewing
-df = pd.DataFrame(train_df)
+interface4 = gr.Interface(
+    fn=calculate_heat_index,
+    inputs=[],
+    outputs=gr.Plot(),
+    title="Weather Analysis - Heat Index Trends"
+)
 
-# Display the first few rows of the dataset
-print(df.head())
+# Launch the interface
+interface.launch(share=True)
+interface2.launch(share=True)
+interface3.launch(share=True)
+interface4.launch(share=True)