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- # Image Preview and Groq API Fix - Summary
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-
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- ## Changes Made
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-
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- ### 1. Image Preview UI Fix (Frontend)
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-
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- **Issue:** Image preview was showing as a large card above the input field, not matching the desired inline thumbnail appearance from the screenshot.
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-
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- **Solution:**
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- - Removed the large preview card that appeared above the input
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- - Added a small **60px inline thumbnail** that appears next to the input controls
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- - Thumbnail includes:
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- - Clickable to view full size in lightbox
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- - Small close button overlay (top-right)
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- - Proper border and styling matching the purple theme
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- - Uses `objectFit: 'cover'` for clean thumbnail appearance
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-
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- **Files Modified:**
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- - `frontend/src/pages/Chat.jsx` (lines 687-793)
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-
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- **Visual Changes:**
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- ```
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- Before: [Large preview card]
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- [Input field with buttons]
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-
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- After: [Input field with buttons] [60px thumbnail]
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- ```
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-
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- ---
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-
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- ### 2. Image Display in Chat Messages
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-
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- **Issue:** When sending an image, it wasn't appearing in the user's chat bubble.
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-
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- **Solution:**
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- - Added `multimodal_data` with `image_url` to the user message object
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- - This stores the base64 preview URL for immediate display
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- - The existing message rendering code (lines 483-521) already handles displaying images in chat bubbles
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-
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- **Files Modified:**
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- - `frontend/src/pages/Chat.jsx` (lines 241-266)
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-
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- **Code Added:**
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- ```javascript
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- multimodal_data: {
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- image_url: imagePreview // Store preview URL for display
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- }
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- ```
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-
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- ---
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-
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- ### 3. Groq API Image Processing Error Handling (Backend)
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-
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- **Issue:** Groq API image processing errors were causing the entire multimodal chat to fail.
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-
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- **Solution:**
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- - Improved error handling in the multimodal chat endpoint
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- - Now catches and logs image processing errors without breaking the chat flow
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- - Provides fallback context when image analysis fails
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- - Better error messages for debugging
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-
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- **Files Modified:**
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- - `backend/api/chat.py` (lines 212-240)
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-
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- **Error Handling Flow:**
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- ```python
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- try:
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- processor = create_multimodal_processor()
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- image_result = processor.process_image(str(temp_path))
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-
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- if image_result.get("success"):
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- # Use AI-generated description
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- multimodal_context += f"\n[IMAGE DESCRIPTION]: {image_desc}"
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- else:
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- # Fallback: mention the image was uploaded
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- logger.warning(f"Image analysis failed: {error}")
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- multimodal_context += f"\n[IMAGE]: User uploaded an image"
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- except Exception as e:
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- # Graceful degradation
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- logger.error(f"Image processing exception: {e}")
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- multimodal_context += f"\n[IMAGE]: User uploaded an image"
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- ```
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-
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- ---
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-
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- ## Testing Checklist
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-
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- ### Image Preview
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- - [ ] Upload an image using the image upload button
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- - [ ] Verify small 60px thumbnail appears inline with input controls
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- - [ ] Click thumbnail to view full size in lightbox
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- - [ ] Click close button (X) on thumbnail to remove
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- - [ ] Verify thumbnail disappears after sending message
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-
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- ### Chat Message Display
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- - [ ] Send a message with an image attached
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- - [ ] Verify image appears in your chat bubble as a thumbnail
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- - [ ] Verify image can be clicked to view full size
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- - [ ] Verify text message appears below the image
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-
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- ### Groq API Processing
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- - [ ] Check backend logs when sending an image
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- - [ ] Verify "Analyzing image" log appears
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- - [ ] If Groq API works: Should see image description in reasoning
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- - [ ] If Groq API fails: Should see warning but chat still works
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-
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- ---
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-
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- ## Common Issues and Solutions
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-
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- ### Issue: GROQ_API_KEY not found
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- **Solution:** Create `.env` file in `backend/` directory:
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- ```
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- GROQ_API_KEY=your_groq_api_key_here
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- ```
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-
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- ### Issue: Image processing fails with "model not found"
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- **Solution:** Groq's vision model is: `llama-3.2-90b-vision-preview`
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- - This is already configured in `utils/groq_client.py`
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- - Ensure your API key has access to vision models
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-
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- ### Issue: Image doesn't appear after sending
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- **Solution:** Check:
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- 1. Browser console for errors
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- 2. Network tab to verify image was uploaded to Supabase
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- 3. Backend logs for processing errors
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-
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- ---
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-
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- ## Architecture Overview
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-
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- ### Frontend Flow
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- ```
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- 1. User selects image → handleFileSelect()
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- 2. FileReader creates base64 preview → setImagePreview()
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- 3. Preview shows as inline thumbnail
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- 4. User sends message → handleSend()
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- 5. Image included in userMessage.multimodal_data
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- 6. API call: sendMultimodalMessage()
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- 7. Preview clears, message appears in chat
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- ```
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-
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- ### Backend Flow
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- ```
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- 1. Receive multimodal request at /api/chat/multimodal
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- 2. Upload image to Supabase Storage → image_url
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- 3. Save temp copy for AI processing
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- 4. Groq Vision analyzes image → description
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- 5. Description added to multimodal_context
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- 6. Reasoning engine processes query + context
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- 7. Return answer + image_url to frontend
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- 8. Cleanup temp file
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- ```
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-
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- ---
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-
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- ## Files Changed Summary
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-
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- ### Frontend
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- - `frontend/src/pages/Chat.jsx`
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- - Removed large preview card (removed ~50 lines)
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- - Added inline 60px thumbnail preview (+50 lines)
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- - Added multimodal_data to user message (+3 lines)
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-
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- ### Backend
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- - `backend/api/chat.py`
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- - Improved image processing error handling (+16 lines)
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- - Added try-catch for graceful degradation
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-
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- - `backend/test_groq_vision.py` (new file)
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- - Diagnostic script to test Groq configuration
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-
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- ---
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-
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- ## Next Steps
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-
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- 1. **Test the changes:**
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- - Start backend: `cd backend && uvicorn main:app --reload`
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- - Frontend should already be running
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- - Upload and send an image
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-
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- 2. **Verify Groq API:**
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- ```bash
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- cd backend
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- python test_groq_vision.py
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- ```
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-
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- 3. **Check logs** if issues occur:
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- - Backend console for API errors
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- - Browser DevTools console for frontend errors
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- - Network tab for upload status
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-
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- ---
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-
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- ## Visual Reference
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- Based on your screenshot, the final result should look like:
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-
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- ```
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- ┌─────────────────────────────────────────────────┐
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- │ Input field text here... │
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- │ │
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- │ [🎤] [📷] [60x60 img] [Send ➤] │
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- │ thumbnail │
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- └─────────────────────────────────────────────────┘
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- ```
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-
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- When sent, appears in chat as:
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- ```
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- User bubble:
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- ┌────────────────┐
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- │ [thumbnail] │ ← clickable
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- │ │
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- │ Your message │
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- │ text here │
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- └────────────────┘
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- ```