mirror of
https://github.com/khoaliber/khoj.git
synced 2026-03-02 21:19:12 +00:00
Store Khoj generated images as webp instead of png for faster loading
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@@ -425,8 +425,7 @@ async def websocket_endpoint(
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api="chat",
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metadata={"conversation_command": conversation_commands[0].value},
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)
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intent_type = "text-to-image"
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image, status_code, improved_image_prompt, image_url = await text_to_image(
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image, status_code, improved_image_prompt, intent_type = await text_to_image(
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q,
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user,
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meta_log,
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@@ -445,9 +444,6 @@ async def websocket_endpoint(
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await send_complete_llm_response(json.dumps(content_obj))
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continue
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if image_url:
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intent_type = "text-to-image2"
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image = image_url
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await sync_to_async(save_to_conversation_log)(
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q,
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image,
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@@ -621,17 +617,13 @@ async def chat(
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metadata={"conversation_command": conversation_commands[0].value},
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**common.__dict__,
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)
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intent_type = "text-to-image"
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image, status_code, improved_image_prompt, image_url = await text_to_image(
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image, status_code, improved_image_prompt, intent_type = await text_to_image(
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q, user, meta_log, location_data=location, references=compiled_references, online_results=online_results
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)
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if image is None:
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content_obj = {"image": image, "intentType": intent_type, "detail": improved_image_prompt}
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return Response(content=json.dumps(content_obj), media_type="application/json", status_code=status_code)
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if image_url:
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intent_type = "text-to-image2"
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image = image_url
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await sync_to_async(save_to_conversation_log)(
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q,
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image,
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@@ -1,4 +1,6 @@
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import asyncio
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import base64
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import io
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import json
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import logging
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from concurrent.futures import ThreadPoolExecutor
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@@ -18,6 +20,7 @@ from typing import (
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import openai
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from fastapi import Depends, Header, HTTPException, Request, UploadFile
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from PIL import Image
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from starlette.authentication import has_required_scope
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from khoj.database.adapters import AgentAdapters, ConversationAdapters, EntryAdapters
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@@ -508,18 +511,19 @@ async def text_to_image(
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references: List[str],
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online_results: Dict[str, Any],
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send_status_func: Optional[Callable] = None,
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) -> Tuple[Optional[str], int, Optional[str], Optional[str]]:
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) -> Tuple[Optional[str], int, Optional[str], str]:
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status_code = 200
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image = None
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response = None
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image_url = None
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intent_type = "text-to-image-v3"
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text_to_image_config = await ConversationAdapters.aget_text_to_image_model_config()
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if not text_to_image_config:
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# If the user has not configured a text to image model, return an unsupported on server error
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status_code = 501
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message = "Failed to generate image. Setup image generation on the server."
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return image, status_code, message, image_url
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return image_url or image, status_code, message, intent_type
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elif state.openai_client and text_to_image_config.model_type == TextToImageModelConfig.ModelType.OPENAI:
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logger.info("Generating image with OpenAI")
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text2image_model = text_to_image_config.model_name
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@@ -550,21 +554,38 @@ async def text_to_image(
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)
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image = response.data[0].b64_json
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with timer("Convert image to webp", logger):
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# Convert png to webp for faster loading
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decoded_image = base64.b64decode(image)
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image_io = io.BytesIO(decoded_image)
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png_image = Image.open(image_io)
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webp_image_io = io.BytesIO()
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png_image.save(webp_image_io, "WEBP")
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webp_image_bytes = webp_image_io.getvalue()
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webp_image_io.close()
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image_io.close()
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with timer("Upload image to S3", logger):
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image_url = upload_image(image, user.uuid)
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return image, status_code, improved_image_prompt, image_url
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image_url = upload_image(webp_image_bytes, user.uuid)
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if image_url:
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intent_type = "text-to-image-v2"
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else:
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intent_type = "text-to-image-v3"
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image = base64.b64encode(webp_image_bytes).decode("utf-8")
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return image_url or image, status_code, improved_image_prompt, intent_type
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except openai.OpenAIError or openai.BadRequestError or openai.APIConnectionError as e:
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if "content_policy_violation" in e.message:
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logger.error(f"Image Generation blocked by OpenAI: {e}")
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status_code = e.status_code # type: ignore
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message = f"Image generation blocked by OpenAI: {e.message}" # type: ignore
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return image, status_code, message, image_url
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return image_url or image, status_code, message, intent_type
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else:
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logger.error(f"Image Generation failed with {e}", exc_info=True)
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message = f"Image generation failed with OpenAI error: {e.message}" # type: ignore
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status_code = e.status_code # type: ignore
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return image, status_code, message, image_url
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return image, status_code, response, image_url
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return image_url or image, status_code, message, intent_type
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return image_url or image, status_code, response, intent_type
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class ApiUserRateLimiter:
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@@ -1,4 +1,3 @@
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import base64
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import logging
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import os
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import uuid
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@@ -17,16 +16,15 @@ if aws_enabled:
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s3_client = client("s3", aws_access_key_id=AWS_ACCESS_KEY, aws_secret_access_key=AWS_SECRET_KEY)
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def upload_image(image: str, user_id: uuid.UUID):
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def upload_image(image: bytes, user_id: uuid.UUID):
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"""Upload the image to the S3 bucket"""
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if not aws_enabled:
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logger.info("AWS is not enabled. Skipping image upload")
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return None
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decoded_image = base64.b64decode(image)
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image_key = f"{user_id}/{uuid.uuid4()}.png"
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image_key = f"{user_id}/{uuid.uuid4()}.webp"
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try:
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s3_client.put_object(Bucket=AWS_UPLOAD_IMAGE_BUCKET_NAME, Key=image_key, Body=decoded_image, ACL="public-read")
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s3_client.put_object(Bucket=AWS_UPLOAD_IMAGE_BUCKET_NAME, Key=image_key, Body=image, ACL="public-read")
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url = f"https://{AWS_UPLOAD_IMAGE_BUCKET_NAME}.s3.amazonaws.com/{image_key}"
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return url
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except Exception as e:
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