Remove personal hotel email example and update hardware info to CPU

README.md

@@ -12,7 +12,7 @@ models:
   - wordcab/t5-small-email-summarizer
 datasets:
   - argilla/FinePersonas-Conversations-Email-Summaries
-space_hardware: "t4-small"
+space_hardware: "cpu-basic"
 ---
 
 # T5 Email Summarizer - Interactive Demo v3
@@ -29,7 +29,7 @@ This Space provides an interactive demo of the [wordcab/t5-small-email-summarize
 ## Features
 
 - 🎯 **Dual-mode summarization**: Brief (1-2 sentences) or Full (detailed)
-- 🚀 **Fast inference**: Under 1 second on T4 GPU
+- 🚀 **Fast inference**: Quick processing even on CPU
 - 💪 **Robust**: Handles typos, abbreviations, and informal language
 - 🔄 **Auto-detect**: Automatically chooses brief or full based on email length
 - 🔧 **Smart preprocessing**: General solution for title and unicode issues

app.py

@@ -236,24 +236,6 @@ def summarize_email(subject, body, summary_type, temperature=0.7, max_length=150
 
 # Example emails
 examples = [
-    [
-        "RE: Mia Saigon - Mr. Aleksandr Smechov & Mrs. Duong Thi Thu Nha (Ms. Yana) - 1642373580 - 26 August 2025",
-        """Dear Mr. Aleks,
-
-"Xin Chào" from Mia Saigon Luxury Boutique Hotel!
-
-Thank you very much for your continued support. We are truly delighted to welcome you and Ms. Yana for her upcoming birthday celebration.
-
-Regarding your inquiry, we are pleased to inform you that we do provide in-room decoration services, flower bouquets, and birthday cakes, as detailed in the attached files.
-
-Please kindly note that all services must be booked at least 48 hours (02 days) in advance and are subject to availability.
-
-Best regards,
-Mia Saigon Team""",
-        "Brief (1-2 sentences)",
-        0.7,
-        150
-    ],
     [
         "Quarterly Budget Review Meeting",
         """Dear Team,
@@ -329,7 +311,7 @@ with gr.Blocks(title="T5 Email Summarizer", theme=gr.themes.Soft()) as demo:
     
     🤖 **Model:** [wordcab/t5-small-email-summarizer](https://huggingface.co/wordcab/t5-small-email-summarizer)
     | 📊 **Dataset:** [argilla/FinePersonas-Conversations-Email-Summaries](https://huggingface.co/datasets/argilla/FinePersonas-Conversations-Email-Summaries)
-    | 🚀 **Powered by:** T4 GPU
+    | 🚀 **Running on:** CPU (Free tier)
     """)
     
     with gr.Row():
@@ -417,7 +399,7 @@ with gr.Blocks(title="T5 Email Summarizer", theme=gr.themes.Soft()) as demo:
     - **Dual-mode**: Get brief or detailed summaries on demand
     - **Robust**: Handles typos, abbreviations, and informal language
     - **Smart normalization**: Automatically handles titles (Mr., Dr., Prof., etc.)
-    - **Fast**: Processes emails in under 1 second on T4 GPU
+    - **Fast**: Processes emails quickly even on CPU
     
     ### 🔧 Preprocessing Features:
     - **Title Normalization**: Converts "Mr." → "Mr", "Dr." → "Dr" to avoid tokenization issues