firs version highlight function

app.py

@@ -1,7 +1,19 @@
+from io import StringIO, BytesIO
+
 import gradio as gr
+from pdf_miner.high_level import extract_text
+from transformers import pipeline
+
+nlp = pipeline("ner", model="carblacac/ner-investing", tokenizer="carblacac/ner-investing")
+
 
-def greet(name):
-    return "Hello " + name + "!!"
+def highlight_text(fileObj):
+    path = BytesIO(fileObj)
+    text = extract_text(path)
+    entities = nlp(text)
+    return {"text": text, "entities": entities}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface = gr.Interface(fn=highlight_text,
+                    gr.inputs.File(file_count="single", type="bytes"),
+                    gr.HighlightedText())
 iface.launch()