new gradio version check

app.py

@@ -1,13 +1,7 @@
-import matplotlib
-matplotlib.use('Agg')
-
-import os
-os.system('Xvfb :1 -screen 0 1600x1200x16  &')    # create virtual display with size 1600x1200 and 16 bit color. Color can be changed to 24 or 8
-os.environ['DISPLAY']=':1.0'   
-
 import gradio
 import benepar
 import spacy
+from IPython.display import display
 import nltk
 from nltk.tree import Tree
 nltk.download('stopwords')
@@ -45,7 +39,7 @@ def predict(sentence, model):
     elif model == "inside-outside":
         best_parse = Predictor(sentence=sentence).obtain_best_parse(predict_type="inside_outside", model=inside_outside_model, scale_axis=1, predict_batch_size=128)
     sentence_f1 = calculate_F1_for_spans(tree_to_spans(gold_standard), tree_to_spans(best_parse))
-    return Tree.fromstring(gold_standard).draw(), Tree.fromstring(best_parse).draw(), f"{sentence_f1:.2f}"
+    return gold_standard, best_parse, f"{sentence_f1:.2f}"
 
 
 iface = gradio.Interface(
@@ -72,4 +66,4 @@ iface = gradio.Interface(
         ["Bitcoin community under pressure to cut energy use .", "inside"],
     ],
 )
-iface.launch()
+iface.launch(share=True)

packages.txt

@@ -1,3 +0,0 @@
-xvfb
-ghostscript
-python3-tk