Ervinoreo
commited on
Commit
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29e3737
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Parent(s):
c0d2ad9
change about
Browse files- tabs/help.py +5 -10
tabs/help.py
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@@ -7,9 +7,9 @@ def create_help_tab(global_vars):
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"""Create the Help tab with comprehensive documentation"""
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with gr.Tab("β Help", id="help"):
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gr.Markdown("""
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# π
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Welcome to the
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---
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@@ -24,13 +24,8 @@ def create_help_tab(global_vars):
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### Step 2: Upload Documents
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1. Navigate to the **π€ Upload Documents** tab
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2. Select one or more PDF files containing university requirement information
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3.
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- **Country**: Select from Southeast Asian countries
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- **Document Type**: Choose the type of document
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- **Language**: Document language
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4. Click **"Process Documents"**
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5. Wait for processing completion
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### Step 3: Query Documents
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1. Go to the **π Query Documents** tab
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@@ -157,7 +152,7 @@ def create_help_tab(global_vars):
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## π Version Information
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**Current Version**: Gradio-based
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**AI Models**: SEA-LION optimized for Southeast Asian contexts
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**Document Processing**: Advanced semantic chunking and embedding
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**Search Technology**: Vector similarity search with contextual ranking
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"""Create the Help tab with comprehensive documentation"""
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with gr.Tab("β Help", id="help"):
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gr.Markdown("""
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# π TopEdu - User Guide
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Welcome to the TopEdu, a Southeast Asian University Requirements Assistant! This tool helps you navigate university admission requirements across Southeast Asian countries using advanced AI-powered document analysis.
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---
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### Step 2: Upload Documents
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1. Navigate to the **π€ Upload Documents** tab
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2. Select one or more PDF files containing university requirement information
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3. Click **"Process Documents"**
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4. Wait for processing completion
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### Step 3: Query Documents
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1. Go to the **π Query Documents** tab
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## π Version Information
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**Current Version**: Gradio-based Assistant
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**AI Models**: SEA-LION optimized for Southeast Asian contexts
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**Document Processing**: Advanced semantic chunking and embedding
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**Search Technology**: Vector similarity search with contextual ranking
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