Create app.py

app.py

@@ -0,0 +1,38 @@
+import gradio as gr
+import os
+os.system('python -m spacy download en_core_web_sm')
+import spacy
+from spacy import displacy
+
+nlp = spacy.load("en_core_web_sm")
+
+def text_analysis(text):
+    doc = nlp(text)
+    html = displacy.render(doc, style="dep", page=True)
+    html = (
+        ""
+        + html
+        + ""
+    )
+    pos_count = {
+        "char_count": len(text),
+        "token_count": 0,
+    }
+    pos_tokens = []
+
+    for token in doc:
+        pos_tokens.extend([(token.text, token.pos_), (" ", None)])
+
+    return pos_tokens, pos_count, html
+
+demo = gr.Interface(
+    text_analysis,
+    gr.Textbox(placeholder="Enter sentence here..."),
+    ["highlight", "json", "html"],
+    examples=[
+        ["What a beautiful morning for a walk!"],
+        ["It was the best of times, it was the worst of times."],
+    ],
+)
+
+demo.launch()