added app and req

app.py

@@ -0,0 +1,50 @@
+import spacy
+import gradio as gr
+from spacy import displacy
+
+# Load your trained spaCy model
+nlp = spacy.load("sr_Spacy_Serbian_Model_SrpKor4Tagging_BERTICOVO")
+
+# Define a function to display the tags and lemmas
+def display_tags_and_lemmas(text):
+    doc = nlp(text)
+    html = displacy.render(doc, style="ent", page=True, minify=True)
+
+    # We'll also create a custom HTML to display lemmas nicely
+    lemma_html = "<div class='lemma-display'><table class='table table-hover'>"
+    lemma_html += "<thead><tr><th>Token</th><th>Lemma</th><th>POS Tag</th></tr></thead><tbody>"
+
+    for token in doc:
+        lemma_html += f"<tr><td>{token.text}</td><td>{token.lemma_}</td><td>{token.pos_}</td></tr>"
+
+    lemma_html += "</tbody></table></div>"
+
+    # Return both the displaCy HTML and our custom lemma table
+    return html, lemma_html
+
+# Define Gradio interface
+iface = gr.Interface(
+    fn=display_tags_and_lemmas,
+    inputs=gr.inputs.Textbox(lines=5, placeholder="Unesite rečenicu ovde..."),
+    outputs=[
+        gr.outputs.HTML(label="Leme i POS oznake")
+    ],
+    title="spaCy Tagger i Lemmatizer",
+    description="Unesite rečenicu da biste videli njene imenovane entitete, POS oznake i leme.",
+    examples=["Lep dan, danas."]
+)
+
+
+# Include CSS styling for nicer outputs
+css = """
+    <style>
+        .lemma-display { margin: auto; width: 50%; }
+        .table { font-family: Arial, Helvetica, sans-serif; border-collapse: collapse; width: 100%; }
+        .table td, .table th { border: 1px solid #ddd; padding: 8px; }
+        .table tr:nth-child(even){ background-color: #f2f2f2; }
+        .table tr:hover { background-color: #ddd; }
+        .table th { padding-top: 12px; padding-bottom: 12px; text-align: left; background-color: #04AA6D; color: white; }
+    </style>
+"""
+
+iface.launch(inline=False, enable_queue=True, share=True, css=css)

requirements.txt

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+spacy==3.0.0  # Replace with the version you used for training and packaging your model
+gradio==2.0.0  # Replace with your used version
+https://huggingface.co/Tanor/sr_Spacy_Serbian_Model_SrpKor4Tagging_BERTICOVO/resolve/main/sr_Spacy_Serbian_Model_SrpKor4Tagging_BERTICOVO-any-py3-none-any.whl