Update app.py

app.py

@@ -0,0 +1,102 @@
+import gradio as gr
+import pandas as pd
+
+# Function to compare datasets
+def compare_datasets(reference_file, user_file):
+    # Read the Excel files
+    reference_df = pd.read_excel(reference_file.name)
+    user_df = pd.read_excel(user_file.name)
+
+    # Flatten both datasets to 1D arrays of numbers (ignoring NaN and other non-numeric data)
+    reference_numbers = reference_df.select_dtypes(include=['number']).values.flatten()
+    user_numbers = user_df.select_dtypes(include=['number']).values.flatten()
+
+    # Convert both arrays to sets for faster comparison
+    reference_set = set(reference_numbers)
+    user_set = set(user_numbers)
+
+    # Find the numbers in the user's dataset that are present in the reference dataset
+    common_numbers = reference_set.intersection(user_set)
+    missing_numbers = reference_set.difference(user_set)
+
+    # Prepare results
+    if common_numbers:
+        common_numbers_result = f"Found these numbers in the user's dataset: {', '.join(map(str, common_numbers))}"
+    else:
+        common_numbers_result = "No common numbers found."
+
+    if missing_numbers:
+        missing_numbers_result = f"Missing these numbers in the user's dataset: {', '.join(map(str, missing_numbers))}"
+    else:
+        missing_numbers_result = "All reference numbers are present."
+
+    return common_numbers_result, missing_numbers_result
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=compare_datasets,
+    inputs=[
+        gr.File(label="Upload Your Reference Dataset (Excel)"),
+        gr.File(label="Upload User's Dataset (Excel)"),
+    ],
+    outputs=[
+        gr.Textbox(label="Common Numbers Found"),
+        gr.Textbox(label="Missing Numbers"),
+    ],
+    title="Excel Dataset Comparison Tool",
+    description="Upload your dataset and the user's dataset to check which numbers match and which are missing.",
+)
+
+# Launch the app
+iface.launch()
+import gradio as gr
+import pandas as pd
+
+# Function to compare datasets
+def compare_datasets(reference_file, user_file):
+    # Read the Excel files
+    reference_df = pd.read_excel(reference_file.name)
+    user_df = pd.read_excel(user_file.name)
+
+    # Flatten both datasets to 1D arrays of numbers (ignoring NaN and other non-numeric data)
+    reference_numbers = reference_df.select_dtypes(include=['number']).values.flatten()
+    user_numbers = user_df.select_dtypes(include=['number']).values.flatten()
+
+    # Convert both arrays to sets for faster comparison
+    reference_set = set(reference_numbers)
+    user_set = set(user_numbers)
+
+    # Find the numbers in the user's dataset that are present in the reference dataset
+    common_numbers = reference_set.intersection(user_set)
+    missing_numbers = reference_set.difference(user_set)
+
+    # Prepare results
+    if common_numbers:
+        common_numbers_result = f"Found these numbers in the user's dataset: {', '.join(map(str, common_numbers))}"
+    else:
+        common_numbers_result = "No common numbers found."
+
+    if missing_numbers:
+        missing_numbers_result = f"Missing these numbers in the user's dataset: {', '.join(map(str, missing_numbers))}"
+    else:
+        missing_numbers_result = "All reference numbers are present."
+
+    return common_numbers_result, missing_numbers_result
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=compare_datasets,
+    inputs=[
+        gr.File(label="Upload Your Reference Dataset (Excel)"),
+        gr.File(label="Upload User's Dataset (Excel)"),
+    ],
+    outputs=[
+        gr.Textbox(label="Common Numbers Found"),
+        gr.Textbox(label="Missing Numbers"),
+    ],
+    title="Excel Dataset Comparison Tool",
+    description="Upload your dataset and the user's dataset to check which numbers match and which are missing.",
+)
+
+# Launch the app
+iface.launch()