updated app.py file, updated graphs

app.py

@@ -3,70 +3,33 @@ import gradio as gr
 import pandas as pd
 import plotly.express as px
 
-# load the dataset
+# Load dataset
 ds = load_dataset("egecandrsn/weatherdata")
-
-# Convert the dataset into a pandas DataFrame
-df = pd.DataFrame(ds['train'])  # Assuming the dataset has a 'train' split
-
-# Now you can modify the DataFrame
+df = pd.DataFrame(ds['train'])
 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
+# Create Graphs
+def create_graphs():
+    # Temperature over Time
+    fig_temp = px.line(df, x='datetime', y='temp', title='Temperature Over Time')
 
-# 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
+    # Precipitation over Time
+    fig_precip = px.line(df, x='datetime', y='precip', title='Precipitation Over Time')
 
-# 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
+    # Wind Speed over Time
+    fig_wind = px.line(df, x='datetime', y='windspeed', title='Wind Speed Over Time')
 
-# 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
+    # Return multiple graphs
+    return fig_temp, fig_precip, fig_wind
 
-# Gradio interface
+# Create 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"
-)
-
-interface4 = gr.Interface(
-    fn=calculate_heat_index,
-    inputs=[],
-    outputs=gr.Plot(),
-    title="Weather Analysis - Heat Index Trends"
+    fn=create_graphs,
+    inputs=None,  # No input required, as we are just displaying graphs
+    outputs=[gr.Plot(), gr.Plot(), gr.Plot()],  # Multiple graph outputs
+    title="Weather Data Analysis",
+    description="This app shows multiple weather analysis graphs based on the dataset."
 )
 
 # Launch the interface
-interface.launch(share=True)
-interface2.launch(share=True)
-interface3.launch(share=True)
-interface4.launch(share=True)
+interface.launch()