Update app.py

app.py

@@ -2,27 +2,38 @@ import gradio as gr
 import pandas as pd
 import matplotlib.pyplot as plt
 
+import matplotlib.pyplot as plt
+import pandas as pd
+
 def plot_graph(file):
     df = pd.read_csv(file.name)
-   
-    x_axis = 'Date'
-    y_axis = 'Count'
-    group_label = 'Species'
-
-    df[x_axis] = pd.to_datetime(df[x_axis])
+    
+    # Assuming 'Date' is formatted as 'YYYY-MM-DD' in the CSV.
+    df['Date'] = pd.to_datetime(df['Date'])
 
-    plt.figure()
-    df.plot()
+    # Set figure and axes
+    plt.figure(figsize=(10, 6))
     
-    plt.legend(title=group_label)
+    # Plot each species as a separate line
+    for species in df['Species'].unique():
+        species_data = df[df['Species'] == species]
+        plt.plot(species_data['Date'], species_data['Count'], label=species, marker='o')
+
+    # Setting labels and title
+    plt.xlabel('Date')
+    plt.ylabel('Count')
+    plt.title('Observations of Species Over Time')
+    plt.legend(title='Species')
     plt.grid(True)
     plt.xticks(rotation=45)
 
+    # Save the plot
     plot_filename = 'plot.png'
     plt.savefig(plot_filename)
     plt.close()
     return plot_filename
 
+
 # Define the Gradio interface
 interface = gr.Interface(
     fn=plot_graph,