Update app.py

app.py

@@ -13,8 +13,8 @@ install("openpyxl")
 import pandas as pd
 import gradio as gr
 
-# Function to load the dataset from an uploaded file
-def load_dataset(file_path):
+# Function to load the dataset from the provided file path
+def load_dataset(file_path='cleaned_data.xlsx'):
     try:
         df = pd.read_excel(file_path)
         print("File loaded successfully.")
@@ -41,10 +41,10 @@ def get_details(name, df):
         return "Name not found."
 
 # Combine the functions to create a prediction
-def predict(name, file):
+def predict(name):
     try:
-        # Load the dataset from the uploaded file
-        df = load_dataset(file.name)
+        # Load the dataset from the provided file path
+        df = load_dataset()
 
         # Get details for the provided name
         if df is not None:
@@ -56,13 +56,13 @@ def predict(name, file):
         print(f"An error occurred: {e}")
         return f"Error: {e}"
 
-# Build the Gradio interface with file upload option
+# Build the Gradio interface without the file upload option
 iface = gr.Interface(
     fn=predict,
-    inputs=[gr.Textbox(lines=1, label="**Enter Name**"), gr.File(label="Upload cleaned_data.xlsx")],
+    inputs=gr.Textbox(lines=1, label="**Enter Name**"),  # Bold label for Name
     outputs="json",
     title="Name Details Lookup",
-    description="Upload the 'cleaned_data.xlsx' file and enter a name to find all details associated with it."
+    description="Enter a name to find all details associated with it from the 'cleaned_data.xlsx' file."
 )
 
 # Run the Gradio interface