Create run.py

run.py

@@ -0,0 +1,18 @@
+import deepdoctection as dd
+from IPython.core.display import HTML
+from matplotlib import pyplot as plt
+
+analyzer = dd.get_dd_analyzer()  # instantiate the built-in analyzer similar to the Hugging Face space demo
+
+df = analyzer.analyze(path = "/content/imgs")  # setting up pipeline
+df.reset_state()                 # Trigger some initialization
+
+
+
+for pg in iter(df):
+  image = pg.viz()
+  plt.figure(figsize = (25,17))
+  plt.axis('off')
+  plt.imshow(image)
+  for idx in range(len(pg.tables)):
+    HTML(pg.tables[idx].html)