Create app.py

app.py

@@ -0,0 +1,29 @@
+import torch
+import gradio as gr
+from transformers import pipeline
+
+#text_summary = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6", torch_dtype=torch.bfloat16)
+de_text_summary = pipeline("summarization", model="Shahm/bart-german")
+#de_text_summary= pipeline("summarization", model="Joemgu/mlong-t5-large-sumstew")
+
+def summary (input):
+    max_length = 1024  # adjust this value as needed
+    if len(input) > max_length:
+        input = input[:max_length]
+    output = de_text_summary(input)
+    return output[0]['summary_text']
+
+gr.close_all()
+
+# demo = gr.Interface(fn=summary, inputs="text",outputs="text")
+demo = gr.Interface(fn=summary,
+                    inputs=[gr.Textbox(label="Text eingeben, der zusammengefasst werden soll",lines=6)],
+                    outputs=[gr.Textbox(label="Zusammengefasster Text",lines=4)],
+                    title="Projekt 1: Text-Zusammenfassung",
+                    description="DIESE ANWENDUNG WIRD ZUR ZUSAMMENFASSUNG DES TEXTES VERWENDET",
+                    theme="default",
+                    allow_flagging="never",
+                    clear_btn="Bereinigen",
+                    submit_btn="Übermitteln"
+                    )
+demo.launch()