tool template
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huggingface_spaces_tool_template.md
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# Hugging Face Spaces Tool Template for Agents
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- a quick tribute to [Aymeric](https://huggingface.co/m-ric) for this simple but effective exapmle of how to build and serve agents using Hugging Face spaces
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- check out the documentation here for more information on the transformers implementation of the [Agent Class](https://huggingface.co/docs/transformers/main_classes/agent)
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- capturing the entire repo so that the overall structure and content of the repo is clear
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### File: README.md
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**Type:** txt
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**Size:** 247 bytes
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**Created:** 2025-01-22 19:08:45 UTC
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**Modified:** 2025-01-22 19:08:45 UTC
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#### Content:
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```
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---
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title: Text To Image
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emoji: 👀
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colorFrom: blue
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colorTo: indigo
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sdk: gradio
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sdk_version: 4.29.0
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app_file: app.py
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pinned: false
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tags:
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- tool
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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```
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### File: app.py
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**Type:** python
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**Size:** 114 bytes
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**Created:** 2025-01-22 19:08:45 UTC
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**Modified:** 2025-01-22 19:08:45 UTC
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#### Content:
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```
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from transformers import launch_gradio_demo
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from tool import TextToImageTool
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launch_gradio_demo(TextToImageTool)
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```
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### File: requirements.txt
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**Type:** txt
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**Size:** 26 bytes
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**Created:** 2025-01-22 19:08:45 UTC
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**Modified:** 2025-01-22 19:08:45 UTC
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#### Content:
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```
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huggingface_hub
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smolagents
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```
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### File: tool.py
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**Type:** python
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**Size:** 635 bytes
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**Created:** 2025-01-22 19:08:45 UTC
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**Modified:** 2025-01-22 19:08:45 UTC
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#### Content:
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```
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from smolagents import Tool
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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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### File: tool_config.json
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**Type:** json
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**Size:** 414 bytes
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**Created:** 2025-01-22 19:08:45 UTC
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**Modified:** 2025-01-22 19:08:45 UTC
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#### Content:
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```
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{
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"description": "This is a tool that creates an image according to a prompt, which is a text description.",
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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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"name": "image_generator",
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"output_type": "image",
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"tool_class": "tool.TextToImageTool"
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}
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```
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