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Update app.py
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app.py
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@@ -55,7 +55,7 @@ def generate_prompts_for_object(object_name):
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# =========================================================
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# Tool wrapper for m-ric/text-to-image
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# =========================================================
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-
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class WrappedTextToImageTool(Tool):
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name = "text_to_image"
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description = "Generates an image from a text prompt using the m-ric/text-to-image tool."
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@@ -73,11 +73,28 @@ class WrappedTextToImageTool(Tool):
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def forward(self, prompt):
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return self.client.text_to_image(prompt)
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# =========================================================
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# Tool and Agent Initialization
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# =========================================================
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image_generation_tool = WrappedTextToImageTool()
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search_tool = DuckDuckGoSearchTool()
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llm_engine = InferenceClientModel("Qwen/Qwen2.5-72B-Instruct")
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# =========================================================
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# Tool wrapper for m-ric/text-to-image
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# =========================================================
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'''
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class WrappedTextToImageTool(Tool):
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name = "text_to_image"
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description = "Generates an image from a text prompt using the m-ric/text-to-image tool."
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def forward(self, prompt):
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return self.client.text_to_image(prompt)
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'''
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from huggingface_hub import InferenceClient
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class TextToImageTool(Tool):
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description = "This tool creates an image according to a prompt, which is a text description."
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name = "image_generator"
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inputs = {"prompt": {"type": "string", "description": "The image generator prompt. Don't hesitate to add details in the prompt to make the image look better, like 'high-res, photorealistic', etc."}}
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output_type = "image"
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model_sdxl = "black-forest-labs/FLUX.1-schnell"
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client = InferenceClient(model_sdxl)
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def forward(self, prompt):
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return self.client.text_to_image(prompt)
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# =========================================================
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# Tool and Agent Initialization
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# =========================================================
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image_generation_tool= TextToImageTool()
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#image_generation_tool = WrappedTextToImageTool()
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search_tool = DuckDuckGoSearchTool()
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llm_engine = InferenceClientModel("Qwen/Qwen2.5-72B-Instruct")
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