Duplicate from sneedium/dvatch_captcha_sneedium

Co-authored-by: cope bro <sneedium@users.noreply.huggingface.co>

.gitattributes

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README.md

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+---
+title: Bruh
+emoji: ⚡
+colorFrom: green
+colorTo: blue
+sdk: gradio
+sdk_version: 3.9.1
+app_file: app.py
+pinned: true
+duplicated_from: sneedium/dvatch_captcha_sneedium
+---
+
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+# import requests
+# res = requests.get("https://seyarabata.com/6370e77fec965")
+# with open("last.ckpt", 'wb') as f:
+#   f.write(res.content)
+import os
+os.system('curl "https://seyarabata.com/6370e77fec965" -L -O last.ckpt')
+
+import gradio as gr
+import torch
+from PIL import Image
+from strhub.data.module import SceneTextDataModule
+# from strhub.models.utils import load_from_checkpoint, parse_model_args
+
+# parseq = torch.load('tensor.pt', map_location=torch.device('cpu')).eval()
+from strhub.models.parseq.system import PARSeq as ModelClass
+parseq = ModelClass.load_from_checkpoint("last.ckpt").eval()
+
+img_transform = SceneTextDataModule.get_transform(parseq.hparams.img_size)
+
+def captcha_solver(img):
+  img = img.convert('RGB')
+  img = img_transform(img).unsqueeze(0)
+
+  logits = parseq(img)
+  logits.shape
+  
+  # # Greedy decoding
+  pred = logits.softmax(-1)
+  label, confidence = parseq.tokenizer.decode(pred)
+  return label[0]
+
+demo = gr.Interface(fn=captcha_solver, inputs=gr.inputs.Image(type="pil"), outputs=gr.outputs.Textbox())
+demo.launch()

requirements.txt

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+#git+https://github.com/sdfswefqwef/svsdwev
+lmdb
+#nltk
+
+git+https://github.com/sdfswefqwef/svsdwev
+Gradio
+pytorch-lightning
+timm
+nltk
+torch==1.12.0
+#torchvision