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# Chat Interface Design |
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This document outlines the design for the chat interface of our Norwegian RAG-based chatbot. The interface will be implemented using Gradio and deployed on Hugging Face Spaces. |
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## Interface Requirements |
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### Functional Requirements |
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1. **Chat Interaction**: |
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- Text input field for user queries |
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- Response display area for chatbot answers |
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- Support for multi-turn conversations |
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- Message history display |
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2. **Document Management**: |
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- Document upload functionality |
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- Document list display |
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- Status indicators for processing |
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3. **Configuration Options**: |
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- Model selection (if multiple models are supported) |
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- Language selection (Norwegian/English toggle) |
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- Advanced parameters adjustment (optional) |
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4. **Embedding Functionality**: |
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- Code snippet generation for embedding |
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- Preview of embedded widget |
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- Copy-to-clipboard functionality |
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### Non-Functional Requirements |
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1. **Responsiveness**: |
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- Mobile-friendly design |
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- Adaptive layout for different screen sizes |
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2. **Performance**: |
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- Efficient loading times |
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- Progress indicators for long operations |
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- Streaming responses for better user experience |
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3. **Accessibility**: |
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- WCAG 2.1 compliance |
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- Keyboard navigation support |
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- Screen reader compatibility |
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4. **Multilingual Support**: |
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- Norwegian as primary language |
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- English as secondary language |
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- Language detection and switching |
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## UI Design |
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### Main Chat Interface |
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``` |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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β Norwegian RAG Chatbot [π³π΄/π¬π§] β |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€ |
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β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β β β |
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β β Chat History Display β β |
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β β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β Bot: Hei! Hvordan kan jeg hjelpe deg i dag? β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β User: Fortell meg om norsk historie. β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β Bot: Norsk historie strekker seg... β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β Type your message... [Send] β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β |
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β [Clear Chat] [Settings] [Upload Documents] [Embed] β |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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``` |
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### Document Upload Interface |
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``` |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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β Document Management [Close] β |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€ |
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β β |
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β [Upload New Document] β |
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β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β Document List β β |
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β β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β norsk_historie.pdf [Remove] β β β |
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β β β Status: Processed β β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β vikinger.docx [Remove] β β β |
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β β β Status: Processing... 75% β β β |
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β β βββββββββββββββββββββββββββββββββββββββββββββββ β β |
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β β β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β |
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β [Process All] [Remove All] β |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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``` |
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### Embed Code Interface |
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``` |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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β Embed Chatbot [Close] β |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€ |
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β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β Embed Code (iFrame) β β |
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β β β β |
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β β <iframe src="https://huggingface.co/spaces/... β β |
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β β β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β |
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β [Copy to Clipboard] β |
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β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β Embed Code (JavaScript Widget) β β |
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β β β β |
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β β <script src="https://huggingface.co/spaces/... β β |
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β β β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β |
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β [Copy to Clipboard] β |
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β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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β β Preview β β |
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β β β β |
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β β β β |
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β βββββββββββββββββββββββββββββββββββββββββββββββββββββββ β |
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βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ |
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``` |
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## Implementation with Gradio |
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Gradio is an ideal choice for implementing this interface due to its simplicity, Python integration, and native support on Hugging Face Spaces. |
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### Core Components |
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1. **Chat Interface**: |
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```python |
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with gr.Blocks() as demo: |
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chatbot = gr.Chatbot() |
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msg = gr.Textbox(label="Message") |
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clear = gr.Button("Clear") |
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def respond(message, chat_history): |
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# RAG processing logic here |
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bot_message = get_rag_response(message) |
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chat_history.append((message, bot_message)) |
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return "", chat_history |
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msg.submit(respond, [msg, chatbot], [msg, chatbot]) |
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clear.click(lambda: None, None, chatbot, queue=False) |
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``` |
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2. **Document Upload**: |
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```python |
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with gr.Tab("Upload Documents"): |
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file_output = gr.File() |
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upload_button = gr.UploadButton("Click to Upload a File", file_types=["pdf", "docx", "txt"]) |
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def upload_file(file): |
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# Document processing logic here |
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process_document(file.name) |
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return file.name |
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upload_button.upload(upload_file, upload_button, file_output) |
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``` |
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3. **Embedding Code Generation**: |
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```python |
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with gr.Tab("Embed"): |
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iframe_code = gr.Textbox(label="iFrame Embed Code") |
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js_code = gr.Textbox(label="JavaScript Widget Code") |
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def generate_embed_code(): |
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iframe = f'<iframe src="{SPACE_URL}" width="100%" height="500px"></iframe>' |
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js = f'<script src="{SPACE_URL}/widget.js"></script>' |
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return iframe, js |
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embed_button = gr.Button("Generate Embed Code") |
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embed_button.click(generate_embed_code, None, [iframe_code, js_code]) |
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``` |
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## Norwegian Language Support |
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1. **Interface Localization**: |
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- Implement language switching functionality |
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- Store UI text in language-specific dictionaries |
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- Apply translations based on selected language |
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2. **Input Processing**: |
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- Handle Norwegian special characters correctly |
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- Implement Norwegian-specific text normalization |
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3. **Response Generation**: |
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- Ensure proper formatting of Norwegian text |
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- Handle Norwegian grammar and syntax correctly |
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## Responsive Design |
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1. **CSS Customization**: |
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```python |
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with gr.Blocks(css=""" |
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@media (max-width: 600px) { |
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.container { padding: 5px; } |
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.input-box { font-size: 14px; } |
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} |
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""") as demo: |
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# Interface components |
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``` |
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2. **Layout Adaptation**: |
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- Use flexible layouts that adapt to screen size |
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- Implement collapsible sections for mobile view |
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- Ensure touch-friendly UI elements |
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## Deployment on Hugging Face Spaces |
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1. **Space Configuration**: |
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- Create a `requirements.txt` file with all dependencies |
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- Set up appropriate environment variables |
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- Configure resource allocation |
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2. **Continuous Integration**: |
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- Set up GitHub repository for the project |
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- Configure automatic deployment to Hugging Face Spaces |
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- Implement version control for the interface |
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3. **Monitoring and Analytics**: |
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- Add usage tracking |
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- Implement error logging |
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- Set up performance monitoring |
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## Next Steps |
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1. Implement the basic chat interface with Gradio |
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2. Add document upload and processing functionality |
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3. Create embedding code generation feature |
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4. Implement responsive design and language switching |
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5. Deploy to Hugging Face Spaces for testing |
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6. Gather feedback and iterate on the design |
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