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app.py

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+from transformers import pipeline
+import gradio as gr
+
+ner_pipeline = pipeline(model="projecte-aina/roberta-base-ca-v2-cased-ner")
+
+exemples = ["El Joan no ha anat mai a Manresa"]
+
+def ner(text):
+    output = ner_pipeline(text)
+    return {"text": text, "entities": output}
+
+def neteja():
+    return [gr.Textbox(value=None), gr.HighlightedText(value=None)]
+
+with gr.Blocks(theme=gr.themes.Glass()) as demo:
+    gr.Markdown(
+    """
+    # Reconeixament d'entitats nomenades en català
+    Escriu o copia un text i troba les seves entitats
+    """)
+    with gr.Row():
+      with gr.Column():
+        inp = gr.Textbox(label="text", placeholder="Escriu aquí...")
+        with gr.Row():
+          b1 = gr.Button(value="Neteja")
+          b2 = gr.Button("Troba entitats", variant="primary")
+      out = gr.HighlightedText(label="sortida")
+
+    examples = gr.Examples(examples=exemples, inputs=inp, label="Exemple:")
+    logout_button = gr.Button("Logout", link="/logout")
+
+    b1.click(neteja, outputs=[inp, out])
+    b2.click(ner, inputs=inp, outputs=out)
+
+demo.launch(show_api=False, auth=("admin", "admin"))

requirements.txt

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+gradio
+transformers
+torch