Create app.py

app.py

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+import os
+import subprocess
+
+# Function to install a package if it is not already installed
+def install(package):
+    subprocess.check_call([os.sys.executable, "-m", "pip", "install", package])
+
+# Ensure the necessary packages are installed
+install("pandas")
+install("gradio")
+install("openpyxl")
+
+import pandas as pd
+import gradio as gr
+
+# Function to load the dataset from an uploaded file
+def load_dataset(file_path):
+    try:
+        df = pd.read_excel(file_path)
+        print("File loaded successfully.")
+        print(df.head())  # Print first few rows for debugging
+        return df
+    except Exception as e:
+        print(f"Error loading file: {e}")
+        return None
+
+# Function to get details based on the name
+def get_details(name, df):
+    # Clean the 'Name' column for consistent searching
+    df['Name'] = df['Name'].astype(str).str.strip().str.lower()
+    name = name.strip().lower()
+
+    print(f"Searching for Name: {name}")  # Debugging output
+    results = df[df['Name'].str.contains(name, case=False, na=False)]
+
+    if not results.empty:
+        print(f"Found Details: {results.to_dict('records')}")  # Debugging output
+        return results.to_dict('records')
+    else:
+        print("Name not found.")  # Debugging output
+        return "Name not found."
+
+# Combine the functions to create a prediction
+def predict(name, file):
+    try:
+        # Load the dataset from the uploaded file
+        df = load_dataset(file.name)
+
+        # Get details for the provided name
+        if df is not None:
+            details = get_details(name, df)
+            return details  # Return details as JSON-like output
+        else:
+            return "Error loading the file."
+    except Exception as e:
+        print(f"An error occurred: {e}")
+        return f"Error: {e}"
+
+# Build the Gradio interface with file upload option
+iface = gr.Interface(
+    fn=predict,
+    inputs=[gr.Textbox(lines=1, label="**Enter Name**"), gr.File(label="Upload cleaned_data.xlsx")],
+    outputs="json",
+    title="Name Details Lookup",
+    description="Upload the 'cleaned_data.xlsx' file and enter a name to find all details associated with it."
+)
+
+# Run the Gradio interface
+if __name__ == "__main__":
+    iface.launch()