Add Vision Support (#889)

# Summary of Changes
* New UI to show preview of image uploads
* ChatML message changes to support gpt-4o vision based responses on images
* AWS S3 image uploads for persistent image context in conversations
* Database changes to have `vision_enabled` option in server admin panel while configuring models
* Render previously uploaded images in the chat history, show uploaded images for pending msgs
* Pass the uploaded_image_url through to subqueries
* Allow image to render upon first message from the homepage
* Add rendering support for images to shared chat as well
* Fix some UI/functionality bugs in the share page
* Convert user attached images for chat to webp format before upload
* Use placeholder to attached image for data source, response mode actors
* Update all clients to call /api/chat as a POST instead of GET request
* Fix copying chat messages with images to clipboard

TLDR; Add vision support for openai models on Khoj via the web UI!

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Co-authored-by: sabaimran <narmiabas@gmail.com>
Co-authored-by: Debanjum Singh Solanky <debanjum@gmail.com>

src/khoj/database/models/__init__.py

@@ -93,6 +93,7 @@ class ChatModelOptions(BaseModel):
     tokenizer = models.CharField(max_length=200, default=None, null=True, blank=True)
     chat_model = models.CharField(max_length=200, default="bartowski/Meta-Llama-3.1-8B-Instruct-GGUF")
     model_type = models.CharField(max_length=200, choices=ModelType.choices, default=ModelType.OFFLINE)
+    vision_enabled = models.BooleanField(default=False)
     openai_config = models.ForeignKey(
         OpenAIProcessorConversationConfig, on_delete=models.CASCADE, default=None, null=True, blank=True
     )