Create app.py

app.py

@@ -0,0 +1,103 @@
+import supabase
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+import gradio as gr
+import io
+
+client = supabase.create_client(
+   "https://uddbzgupnpujsabrgbyk.supabase.co",
+    "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJzdXBhYmFzZSIsInJlZiI6InVkZGJ6Z3VwbnB1anNhYnJnYnlrIiwicm9sZSI6InNlcnZpY2Vfcm9sZSIsImlhdCI6MTcxODgxOTE3NywiZXhwIjoyMDM0Mzk1MTc3fQ.OH-NJ64dHhr0WPMZU05TsSBfRkoiX29W_cFHYqnN0us"
+
+             )
+def read_data():
+    response = client.table('Plant Growth Analysis').select("*").execute()
+    df = pd.DataFrame(response.data)
+    return df
+
+df = read_data()
+#df.head()
+
+# Convert LoyaltyProgram to categorical
+#df['Growth_Milestone'] = df['Growth_Milestone'].map({0: 'No', 1: 'Yes'})
+
+# Function to create histogram
+def create_histogram(column):
+    plt.figure(figsize=(10, 6))
+    sns.histplot(data=df, x=column, kde=True)
+    plt.title(f'Histogram of {column}')
+    plt.xlabel(column)
+    plt.ylabel('Count')
+    return plt
+
+# Function to create scatter plot
+def create_scatter(x_column, y_column, hue_column):
+    plt.figure(figsize=(10, 6))
+    sns.scatterplot(data=df, x=x_column, y=y_column, hue=hue_column)
+    plt.title(f'{x_column} vs {y_column} (colored by {hue_column})')
+    plt.xlabel(x_column)
+    plt.ylabel(y_column)
+    return plt
+
+# Function to create box plot
+def create_boxplot(x_column, y_column):
+    plt.figure(figsize=(10, 6))
+    sns.boxplot(data=df, x=x_column, y=y_column)
+    plt.title(f'Box Plot of {y_column} by {x_column}')
+    plt.xlabel(x_column)
+    plt.ylabel(y_column)
+    return plt
+
+# Function to create bar plot
+def create_barplot(x_column, y_column):
+    plt.figure(figsize=(10, 6))
+    sns.barplot(data=df, x=x_column, y=y_column)
+    plt.title(f'Bar Plot of {y_column} by {x_column}')
+    plt.xlabel(x_column)
+    plt.ylabel(y_column)
+    plt.xticks(rotation=45)
+    return plt
+
+#Function to create Line Plot
+def create_lineplot(x_column, y_column):
+    plt.figure(figsize=(10, 6))
+    sns.lineplot(data=df,x=x_column, y=y_column)
+    plt.title(f'Line  Plot of {y_column} vs {x_column}')
+    plt.xlabel(x_column)
+    plt.ylabel(y_column)
+    return plt
+
+# Gradio interface
+def visualize(plot_type, x_column, y_column, hue_column):
+    if plot_type == "Histogram":
+        return create_histogram(x_column)
+    elif plot_type == "Scatter Plot":
+        return create_scatter(x_column, y_column, hue_column)
+    elif plot_type == "Box Plot":
+        return create_boxplot(x_column, y_column)
+    elif plot_type == "Bar Plot":
+        return create_barplot(x_column, y_column)
+    elif plot_type == "Line Plot":
+        return create_lineplot(x_column, y_column)
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=visualize,
+    inputs=[
+        gr.Dropdown(["Histogram", "Scatter Plot", "Box Plot", "Bar Plot","Line Plot"], label="Plot Type"),
+        gr.Dropdown(df.columns.tolist(), label="X-axis"),
+        gr.Dropdown(df.columns.tolist(), label="Y-axis"),
+        gr.Dropdown(df.columns.tolist(), label="Hue (for Scatter Plot/Line Plot)")
+
+    ],
+    outputs="plot",
+    title="Plant Growth Data Visualization Dashboard",
+    description="This dashboard displays various visualizations of the plant growth dataset.",
+)
+
+# Launch the interface
+iface.launch()
+
+
+
+