Update app.py

app.py

@@ -1,44 +1,41 @@
 import gradio as gr
 import matplotlib.pyplot as plt
+import seaborn as sns
 import numpy as np
-
-def generate_output(topic):
-  """
-  This function simulates generating a graphical output based on the input topic.
-  In a real-world scenario, this function would use more sophisticated logic 
-  to generate relevant data and create visualizations.
-
-  Args:
-    topic: The input topic entered by the user.
-
-  Returns:
-    A matplotlib figure object.
-  """
-
-  # Example: Generate random data for a simple bar chart
-  data = np.random.rand(5)
-  labels = ['A', 'B', 'C', 'D', 'E']
-
-  # Create a bar chart
-  fig, ax = plt.subplots()
-  ax.bar(labels, data)
-  ax.set_title(f"Example Chart for: {topic}")
-  ax.set_xlabel("Categories")
-  ax.set_ylabel("Values")
-
-  return fig
-
-# Create the Gradio interface
-iface = gr.Interface(
-    fn=generate_output, 
-    inputs="text", 
-    outputs="matplotlib", 
-    title="Children's Project Visualizer",
-    description="Enter a topic and see a relevant visualization!",
+import pandas as pd
+import plotly.express as px
+
+# Function to generate graphical output based on topic
+def generate_graph(topic):
+    # Example function that generates a bar chart for demonstration
+    if topic.lower() == 'animals':
+        data = {'Animals': ['Lion', 'Tiger', 'Bear', 'Elephant'],
+                'Count': [10, 12, 5, 8]}
+        df = pd.DataFrame(data)
+        fig = px.bar(df, x='Animals', y='Count', title='Animal Count')
+    elif topic.lower() == 'fruits':
+        data = {'Fruit': ['Apple', 'Banana', 'Cherry', 'Date'],
+                'Count': [20, 15, 30, 10]}
+        df = pd.DataFrame(data)
+        fig = px.pie(df, names='Fruit', values='Count', title='Fruit Distribution')
+    else:
+        # Default graph if no matching topic
+        data = {'Topic': ['A', 'B', 'C', 'D'],
+                'Value': [25, 40, 15, 20]}
+        df = pd.DataFrame(data)
+        fig = px.line(df, x='Topic', y='Value', title='Example Line Graph')
+
+    return fig
+
+# Build the Gradio interface
+interface = gr.Interface(
+    fn=generate_graph,
+    inputs=gr.Textbox(label="Enter Topic (e.g., Animals, Fruits)"),
+    outputs=gr.Plot(),
+    live=True,
+    title="Children's School Project Graph Generator",
+    description="Enter a topic and see a graphical representation of related data."
 )
 
-# Launch the app (comment out for deployment on Hugging Face Spaces)
-# iface.launch()  # Comment out for deployment
-
-# For deployment on Hugging Face Spaces, use the following line instead:
-gr.Interface.launch(show=False)  # Replace with your deployment command (see below)
+# Launch the app
+interface.launch(share=True)