Create app.py file for FastCoref Demo

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+import spacy
+from spacy import displacy
+from spacy.tokens import Span
+from random import randint
+from fastcoref import LingMessCoref
+
+model = LingMessCoref()
+nlp = spacy.blank("en")
+
+def corefer(text):
+    preds = model.predict(texts=[text])
+    clusters = preds[0].get_clusters(as_strings=False)
+    doc = nlp(text)
+    doc.spans["sc"] = []
+    colors = {"Cluster {}".format(i):'#%06X' % randint(0, 0xFFFFFF) for i in range(len(clusters))}
+    for i, cluster in enumerate(clusters):
+      for sp in cluster:
+        doc.spans["sc"] += [doc.char_span(sp[0], sp[1], "Cluster {}".format(i))]
+    return displacy.render(doc, style="span", options= {"colors":colors }, page=True )
+
+
+iface = gr.Interface(fn=corefer, 
+                     inputs=gr.Textbox(label="Enter Text To Corefer with FastCoref", lines=2, value="We are so happy to see you using our coref package. This package is very fast!"), 
+                     outputs="html")
+iface.launch()