Duplicate from Hentinel/captchasolverkontankt

.gitattributes

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README.md

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+---
+title: Captchasolverkontankt
+emoji: 🐠
+colorFrom: indigo
+colorTo: blue
+sdk: gradio
+sdk_version: 3.36.1
+app_file: app.py
+pinned: false
+duplicated_from: Hentinel/captchasolverkontankt
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import onnxruntime as onr
+import numpy as np
+import glob
+import gradio as gr
+characters = ['z', 's', 'h', 'q', 'd', 'v', '2', '7', '8', 'x', 'y', '5', 'e', 'a', 'u', '4', 'k', 'n', 'm', 'c', 'p']
+img_width = 130
+img_height = 50
+max_length = 7
+Model = onr.InferenceSession('model.onnx')
+ModelName = Model.get_inputs()[0].name
+def solve_task(img):
+    img = img.astype(np.float32) / 255.
+    img = img.transpose([1, 0, 2])
+    img = np.array([img])
+    result_tensor = Model.run(None, {ModelName: img})[0]
+    answer, accuracy = get_result(result_tensor)
+
+    return answer
+def get_result(pred):
+    accuracy = 1
+    last = None
+    ans = []
+    for item in pred[0]:
+        char_ind = item.argmax()
+        if char_ind != last and char_ind != 0 and char_ind != len(characters) + 1:
+            ans.append(characters[char_ind - 1])
+            accuracy *= item[char_ind]
+        last = char_ind
+    answ = "".join(ans)[:max_length]
+    return answ, accuracy
+
+
+title = "captcha solver"
+description = "hate captcha"
+
+iface = gr.Interface(fn=solve_task, 
+                     inputs=gr.inputs.Image((img_width, img_height)), 
+                     outputs=gr.outputs.Textbox(),
+                     title=title,
+                     examples=glob.glob('examples/*.jfif'),
+                     description=description)
+iface.launch()

model.onnx

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+version https://git-lfs.github.com/spec/v1
+oid sha256:15bdf1eb90a0f98cc74f3f231a7380c32d6409d87e804f5980d9f2542a49c475
+size 1756226

requirements.txt

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+onnxruntime==1.15.1