initial

README.md

@@ -1,12 +1,12 @@
 ---
-title: Positive Reframing Ptbr
+title: Positive Reframing PTBR
 emoji: 🏃
 colorFrom: blue
 colorTo: yellow
 sdk: gradio
 sdk_version: 3.9.1
 app_file: app.py
-pinned: false
+pinned: true
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,71 @@
+from difflib import Differ
+
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline("summarization", "dominguesm/positive-reframing-ptbr")
+
+
+def predict(text, operation):
+    try:
+        res = pipe(f"[{operation}]: {text}", max_length=1024)
+    except Exception as e:
+        return e
+
+    d = Differ()
+    return (
+        res[0]["summary_text"],
+        [
+            (token[2:], token[0] if token[0] != " " else None)
+            for token in d.compare(text, res[0]["summary_text"])
+        ],
+    )
+    # return res[0]["summary_text"]
+
+
+iface = gr.Interface(
+    title="Positive Reframing PT-BR",
+    description="This model is a PTT5 adjusted to the sentiment transfer task, where the objective is to reverse the sentiment polarity of a text without contradicting the original meaning. Positive reframing induces a complementary positive viewpoint (e.g. glass-half-full) escaping negative patterns. More info [here](https://huggingface.co/dominguesm/positive-reframing-ptbr).",
+    fn=predict,
+    inputs=[
+        gr.Textbox(
+            lines=1,
+            placeholder=(
+                f"Pensar no meu futuro me faz querer viver numa ilha sozinha para sempre"
+            ),
+        ),
+        gr.Radio(
+            [
+                "growth",
+                "impermanence",
+                "neutralizing",
+                "optimism",
+                "self_affirmation",
+                "thankfulness",
+            ]
+        ),
+    ],
+    outputs=[
+        gr.Textbox(label="Generated Text"),
+        gr.HighlightedText(
+            label="Diff",
+            combine_adjacent=True,
+        ).style(color_map={"+": "green", "-": "red"}),
+    ],
+    examples=[
+        [
+            "Tenho tanta coisa para fazer antes de sair da cidade por uma semana no domingo.",
+            "thankfulness",
+        ],
+        [
+            "Aquele momento, você percebe que todo o trabalho duro foi para nada e você não tem controle sobre nada.",
+            "self_affirmation",
+        ],
+        [
+            "Um daqueles dias em que você sente que precisa de um abraço de cinco minutos, um pacote de marshmallows e um amigo para conversar.",
+            "impermanence",
+        ],
+    ],
+)
+
+iface.launch()

requirements.txt

@@ -0,0 +1 @@
+transformers[torch]