Update app.py

app.py

@@ -1,13 +1,23 @@
 import gradio as gr
 from transformers import pipeline
-import os
+import time
 
-# Initialize model at startup
-model = pipeline(
-    "text2text-generation",
-    model="humarin/chatgpt_paraphraser_on_T5_base",
-    device="cpu"
-)
+# Show loading status
+print("Loading model...")
+start_time = time.time()
+
+# Initialize model with error handling
+try:
+    model = pipeline(
+        "text2text-generation",
+        model="humarin/chatgpt_paraphraser_on_T5_base",
+        device="cpu"
+    )
+    load_time = time.time() - start_time
+    print(f"Model loaded successfully in {load_time:.2f} seconds")
+except Exception as e:
+    print(f"Model loading failed: {str(e)}")
+    raise
 
 def paraphrase(text):
     try:
@@ -19,37 +29,33 @@ def paraphrase(text):
         )
         return output[0]["generated_text"]
     except Exception as e:
-        return f"Error: {str(e)}"
+        print(f"Generation error: {str(e)}")
+        return text
 
-# Create interface with explicit API routes
+# Create interface with modern Gradio API
 with gr.Blocks() as demo:
-    gr.Markdown("## T5 Paraphraser API")
+    gr.Markdown("## T5 Paraphraser")
+    
     with gr.Row():
-        input_text = gr.Textbox(label="Input", lines=3)
-        output_text = gr.Textbox(label="Output", lines=3)
+        input_text = gr.Textbox(label="Input Text", lines=3)
+        output_text = gr.Textbox(label="Paraphrased Text", lines=3)
     
-    # Main function
-    submit = gr.Button("Submit")
-    submit.click(
+    submit_btn = gr.Button("Paraphrase")
+    submit_btn.click(
         fn=paraphrase,
         inputs=input_text,
         outputs=output_text,
-        api_name="paraphrase"  # Critical: Names the API endpoint
+        api_name="predict"  # Standard endpoint name
     )
     
-    # API examples
     gr.Examples(
         examples=["The quick brown fox jumps over the lazy dog."],
-        inputs=input_text,
-        outputs=output_text,
-        fn=paraphrase,
-        cache_examples=True
+        inputs=input_text
     )
 
-# Launch configuration
+# Launch configuration for current Gradio
 demo.launch(
-    show_api=True,
-    enable_queue=True,
     server_name="0.0.0.0",
-    server_port=7860
+    server_port=7860,
+    show_api=True
 )