Update app.py

app.py

@@ -26,22 +26,30 @@ def classify_image(image_filepath):
 
 import gradio as gr
 
-def welcome(model_details):
-    return f"Your model details are: {model_details}"
+def display_model_details(model_details):
+    return f"**Model Details:**\n\n{model_details}"
 
 with gr.Blocks(title="Image Classification for 1000 Objects", css=".gradio-container {background:#FFD1DC;}") as demo:
     gr.HTML("""<div style="font-family:'Calibri', 'Serif'; font-size:16pt; font-weight:bold; text-align:center; color:black;">Image Classification for 1000 Objects</div>""")
     
     gr.Markdown(
     """
-    # Welcome to Image Classification Demo
-    Start typing below to see the output.
+    # Enter Model Details
+
+    Please provide the necessary information about your model in the text box below.
     """
     )
-    
-    inp_model_details = gr.Textbox(placeholder="Enter model details")
-    out = gr.Textbox()
-    inp_model_details.change( inp_model_details, welcome, out)
+    input_box = gr.Textbox(placeholder="Enter model details")
+    output_box = gr.Markdown()
+
+    input_box.change(display_model_details, input_box, output_box)
+
+    gr.Interface(
+    fn=display_model_details,
+    inputs="text",
+    outputs="text",
+    title="Model Details"
+    ).launch()
     
     
     with gr.Row():