Merge pull request #3810 from royshil/roy.add_simple_interrogate_api
Add a barebones CLIP interrogate API endpoint
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5302e2cdd4
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@ -63,6 +63,7 @@ class Api:
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self.app.add_api_route("/sdapi/v1/extra-batch-images", self.extras_batch_images_api, methods=["POST"], response_model=ExtrasBatchImagesResponse)
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self.app.add_api_route("/sdapi/v1/png-info", self.pnginfoapi, methods=["POST"], response_model=PNGInfoResponse)
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self.app.add_api_route("/sdapi/v1/progress", self.progressapi, methods=["GET"], response_model=ProgressResponse)
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self.app.add_api_route("/sdapi/v1/interrogate", self.interrogateapi, methods=["POST"])
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self.app.add_api_route("/sdapi/v1/interrupt", self.interruptapi, methods=["POST"])
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self.app.add_api_route("/sdapi/v1/options", self.get_config, methods=["GET"], response_model=OptionsModel)
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self.app.add_api_route("/sdapi/v1/options", self.set_config, methods=["POST"])
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@ -214,6 +215,19 @@ class Api:
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return ProgressResponse(progress=progress, eta_relative=eta_relative, state=shared.state.dict(), current_image=current_image)
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def interrogateapi(self, interrogatereq: InterrogateRequest):
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image_b64 = interrogatereq.image
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if image_b64 is None:
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raise HTTPException(status_code=404, detail="Image not found")
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img = self.__base64_to_image(image_b64)
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# Override object param
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with self.queue_lock:
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processed = shared.interrogator.interrogate(img)
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return InterrogateResponse(caption=processed)
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def interruptapi(self):
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shared.state.interrupt()
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@ -65,6 +65,7 @@ class PydanticModelGenerator:
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self._model_name = model_name
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self._class_data = merge_class_params(class_instance)
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self._model_def = [
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ModelDef(
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field=underscore(k),
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@ -167,6 +168,12 @@ class ProgressResponse(BaseModel):
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state: dict = Field(title="State", description="The current state snapshot")
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current_image: str = Field(default=None, title="Current image", description="The current image in base64 format. opts.show_progress_every_n_steps is required for this to work.")
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class InterrogateRequest(BaseModel):
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image: str = Field(default="", title="Image", description="Image to work on, must be a Base64 string containing the image's data.")
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class InterrogateResponse(BaseModel):
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caption: str = Field(default=None, title="Caption", description="The generated caption for the image.")
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fields = {}
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for key, value in opts.data.items():
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metadata = opts.data_labels.get(key)
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@ -231,3 +238,4 @@ class ArtistItem(BaseModel):
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name: str = Field(title="Name")
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score: float = Field(title="Score")
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category: str = Field(title="Category")
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