Só com albertina

.gitattributes

@@ -0,0 +1,34 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,13 @@
+---
+title: Albertina
+emoji: 🔥
+colorFrom: green
+colorTo: green
+sdk: gradio
+sdk_version: 3.29.0
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,26 @@
+# https://stackoverflow.com/questions/4506758/flatten-old-history-in-git
+
+import gradio as gr
+
+models_id = [
+    "PORTULAN/albertina-ptpt",
+    "PORTULAN/albertina-ptbr",
+#    "EleutherAI/gpt-j-6B"
+]
+models = list(map(lambda x: gr.load(x, src='huggingface'),models_id))
+examples = [
+    [models_id[0],'A culinária portuguesa é rica em sabores e [MASK], tornando-se um dos maiores tesouros do país.'],
+    [models_id[1],'A culinária brasileira é rica em sabores e [MASK], tornando-se um dos maiores patrimônios do país.'],
+]
+if len(models_id)>2 :
+    examples.append([models_id[2],'My name is Julien and I like to'])
+    examples.append([models_id[2],'My name is Clara and I am'])
+   
+def prediction(model_choice, input):
+    model = models[model_choice]
+    output = model(input)  
+    return output 
+
+label = gr.Label(num_top_classes=1)
+
+gr.Interface(fn=prediction, inputs=[ gr.Dropdown(models_id, type="index",value=models_id[0]),gr.Textbox(),], outputs=label, examples=examples).launch()