Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+import galai as gal
+
+model = gal.load_model("base", num_gpus = 0, dtype='float16')
+
+def predict(text):
+    text = text.strip()
+    out_text = model.generate(text)
+    out_text = "<p>" + out_text + "</p>"
+    out_text = out_text.replace(text, text + "<b><span style='background-color: #ffffcc;'>")
+    out_text = out_text +  "</span></b>"
+    out_text = out_text.replace("\n", "<br>")
+    return out_text
+
+iface = gr.Interface(
+    fn=predict, 
+    inputs=gr.Textbox(lines=10),
+    outputs=gr.HTML(),
+    description="Galactica",
+    examples=[["Abstractive Generation of Scientific Slides from Academic Articles"]]
+)
+
+iface.launch(share=True)