Fix Hugging Face Space configuration and app setup

- Added proper YAML frontmatter to README.md for Hugging Face Spaces
- Renamed main.py → app.py for correct entrypoint
- Updated requirements.txt with required dependencies
- Ensured configuration points to the right app file
- Prepared Smooth Paraphraser for stable deployment on Hugging Face

README.md

@@ -1,14 +1,27 @@
+---
+title: Smooth Paraphraser
+emoji: 📝
+colorFrom: purple
+colorTo: blue
+sdk: gradio
+sdk_version: "4.29.0"
+app_file: app.py
+pinned: false
+---
+
 # Smooth Paraphraser
 
-Smooth Paraphraser is a simple Hugging Face Space app built with **Gradio** and a pretrained **T5 model** for paraphrasing text.
+A lightweight web app that rewrites text smoothly while preserving meaning.  
+Built with **Gradio + Transformers**, deployed on **Hugging Face Spaces**.
 
 ## Features
-- Enter any text and get a smooth paraphrased version.
-- Powered by Hugging Face `transformers` library.
-- Runs with Gradio for a clean UI.
-
-## How to Run Locally
-```bash
-pip install -r requirements.txt
-python app.py
-```
+- Paraphrase sentences, paragraphs, or articles.
+- Uses state-of-the-art T5 model.
+- Simple and responsive UI.
+
+## Usage
+1. Enter text in the input box.
+2. Click **Paraphrase**.
+3. Copy the rewritten text.
+
+---

app.py

@@ -1,21 +1,23 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load paraphrasing pipeline
+# Load model
 paraphraser = pipeline("text2text-generation", model="Vamsi/T5_Paraphrase_Paws")
 
 def paraphrase(text):
-    result = paraphraser(text, max_length=100, num_return_sequences=1)
+    if not text.strip():
+        return "Please enter some text."
+    result = paraphraser(text, max_length=128, num_return_sequences=1, do_sample=False)
     return result[0]['generated_text']
 
 # Gradio interface
-demo = gr.Interface(
+iface = gr.Interface(
     fn=paraphrase,
-    inputs=gr.Textbox(lines=4, placeholder="Enter text to paraphrase..."),
+    inputs=gr.Textbox(lines=4, placeholder="Enter text here..."),
     outputs="text",
     title="Smooth Paraphraser",
-    description="A simple app to smoothly paraphrase text using a pretrained T5 transformer model."
+    description="Rewrite sentences smoothly while preserving meaning."
 )
 
 if __name__ == "__main__":
-    demo.launch()
+    iface.launch()

requirements.txt

@@ -1,3 +1,5 @@
-transformers==4.42.4
+transformers==4.39.3
 torch
 gradio==4.29.0
+sentencepiece
+tiktoken