Duplicate from rosebe/EcoSmart

Co-authored-by: Riya Bhattacharjee <[email protected]>

.gitattributes

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README.md

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+---
+title: EcoSmart
+emoji: 😻
+colorFrom: pink
+colorTo: purple
+sdk: gradio
+sdk_version: 3.35.2
+app_file: app.py
+pinned: false
+duplicated_from: rosebe/EcoSmart
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+import torch
+
+model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt')
+# Define the face detector function
+def detect_faces(image):
+   # Loading in yolov5s - you can switch to larger models such as yolov5m or yolov5l, or smaller such as yolov5n
+    results = model(image)
+
+    return results.render()[0]
+
+# Create a Gradio interface
+iface = gr.Interface(fn=detect_faces, inputs="image", outputs="image")
+
+# Launch the interface
+iface.launch(share=True)

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4b2cf82b8e9ca48c0fd6525d5b7d6de0f582c0091c20371b12d52a0bace60443
+size 92914709

requirements.txt

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+torch
+gradio
+opencv-python
+psutil
+numpy
+tqdm
+pillow
+torchvision
+yolov5