feat: add first version of the app

README.md

@@ -11,3 +11,14 @@ short_description: Variant classifier (Barlavento, Sotavento) for Cape Verde
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+Clear the cached model
+
+Hugging Face caches models in ~/.cache/huggingface/transformers (or ~/.cache/huggingface/hub). Delete the folder for your model:
+
+rm -rf ~/.cache/huggingface/transformers/your-model-name
+
+or for a full cache refresh:
+
+rm -rf ~/.cache/huggingface/transformers/*
+rm -rf ~/.cache/huggingface/hub/*

app.py

@@ -0,0 +1,149 @@
+import os
+import torch
+import threading
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+# Hugging Face token for private models (if private)
+HF_TOKEN = os.environ.get("HF_TOKEN")
+
+# Models dictionary
+MODELS = {
+    "kriolSet-v2-BART-variant-classifier": "robertocarlosmedina/kriolSet-v2-BART-variant-classifier",
+    "kriolSet-v2-BERT-variant-classifier": "robertocarlosmedina/kriolSet-v2-BERT-variant-classifier",
+    "kriolSet-v2-DistilBERT-variant-classifier": "robertocarlosmedina/kriolSet-v2-DistilBERT-variant-classifier",
+    "kriolSet-v2-XML-RoBERTa-variant-classifier": "robertocarlosmedina/kriolSet-v2-XML-RoBERTa-variant-classifier",
+}
+
+css = """
+.gradio-container {
+    max-width: 1164px !important;  /* limit wide screens */
+    margin: auto !important;       /* center */
+    width: 100% !important;        /* allow fluid scaling */
+}
+"""
+
+loaded_models = {}  # cache: tokenizer + model + device
+
+# Preload model in background
+def preload_models():
+    for model_name, model_id in MODELS.items():
+        if model_id not in loaded_models:
+            tokenizer = AutoTokenizer.from_pretrained(
+                model_id, use_auth_token=HF_TOKEN)
+            model = AutoModelForSequenceClassification.from_pretrained(
+                model_id, use_auth_token=HF_TOKEN) #force_download=True,
+            device = "cuda" if torch.cuda.is_available() else "cpu"
+            model.to(device)
+            loaded_models[model_id] = (tokenizer, model, device)
+            print(f"Preloaded {model_name} -> {model_id}")
+
+threading.Thread(target=preload_models, daemon=True).start()
+
+# Classification function
+def classify_variant(model_name, text):
+    if not text.strip():
+        return {}
+
+    model_id = MODELS[model_name]
+    tokenizer, model, device = loaded_models[model_id]
+
+    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=256).to(device)
+
+    with torch.no_grad():
+        outputs = model(**inputs)
+        probs = torch.nn.functional.softmax(outputs.logits, dim=-1)[0]
+
+    label_map = {0: "Barlavento", 1: "Sotavento"}
+    return {label_map[i]: float(probs[i]) for i in range(len(probs))}
+
+# Example texts
+examples = [
+    ["Nha fidju ta studa na Mindelo."],
+    ["Nha casa sta na Praia."],
+    ["Kume bu txoma?"],
+    ["Mi sta na Santiago."]    
+]
+
+html_content = ""
+js_content = ""
+
+with open("src/cape-verde.html", "r", encoding="utf-8") as f:
+    html_full = f.read()
+
+# Separate JS from HTML if your script is inline
+import re
+js_matches = re.findall(r"<script>(.*?)</script>", html_full, re.DOTALL)
+for js in js_matches:
+    js_content += js + "\n"
+
+html_content = re.sub(r"<script>.*?</script>", "", html_full, flags=re.DOTALL)
+
+# Gradio UI
+with gr.Blocks(theme=gr.themes.Default(primary_hue="orange", neutral_hue="gray"), css=css) as demo:
+    gr.Markdown("<h2>Cape Verdean Creole Variant Classifier</h2>")
+    gr.Markdown("""<p>These models were trained on a subset of KriolSet V2 containing 12,000 sentences
+                (6,000 from Sotavento and 6,000 from Barlavento) to perform classification
+                between the two variants.</p>""")
+    gr.Markdown("""<p>We invite you to try it out: simply choose a model,
+                enter a Cape Verdean Creole sentence or choose one from the examples, and click Classify.</p>""")
+
+    with gr.Row():
+        with gr.Column(scale=1):
+            model_select = gr.Dropdown(
+            list(MODELS.keys()), label="Choose Model", value=list(MODELS.keys())[0])
+
+            text_input = gr.Textbox(label="Input Text", placeholder="Enter a sentence...")
+            classify_btn = gr.Button("Classify")
+            output_label = gr.Label(label="Predicted Variant")
+            
+            example_comp = gr.Examples(
+                examples=examples,
+                inputs=[text_input],
+                label="Example Sentences"
+            )
+            
+        with gr.Column(scale=1):
+            html_embed = gr.HTML(
+                f"""
+                <div style="
+                    height:390px;
+                    overflow: auto;
+                    background-color: #1f2a38;
+                    border-radius: 4px;
+                    border: 1px solid #374151;
+                    margin-top: -10px;
+                    margin-bottom: -10px;
+                ">
+                    {html_content}
+                </div>
+                """
+            )
+            gr.HTML("""
+                   <div style="
+                        height: auto;
+                        overflow: auto;
+                        background-color: #1f2a38;
+                        border-radius: 4px;
+                        border: 1px solid #374151;
+                        padding: 10px;
+                        display: flex; align-items: center; gap: 2rem;
+                    ">
+                        <div style="display: flex; align-items: center; gap: 6px;">
+                            <div style="width: 10px; height: 10px; border-radius: 50%; background-color: #4caf50;"></div>
+                            <span style="color: #4caf50;">Barlavento islands</span>
+                        </div>
+                        <div style="display: flex; align-items: center; gap: 6px;">
+                            <div style="width: 10px; height: 10px; border-radius: 50%; background-color: #2196f3;"></div>
+                            <span style="color: #2196f3;">Sotavento islands</span>
+                        </div>
+            """)
+
+    classify_btn.click(
+        fn=classify_variant,
+        inputs=[model_select, text_input],
+        outputs=output_label
+    )
+    gr.HTML(f"<script>{js_content}</script>", render=True)
+
+demo.launch()

requirements.txt

@@ -0,0 +1,8 @@
+gradio>=3.44,<3.50
+transformers
+torch
+tiktoken
+protobuf
+sentencepiece
+matplotlib
+wordcloud

src/cape-verde.html

@@ -0,0 +1,230 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Cape Verde Map Tooltip</title>
+    <style>
+      .map-svg {
+        width: auto;
+        height: auto;
+        margin: 0 auto;
+        padding: 20px;
+      }
+      .tooltip {
+        position: absolute;
+        background-color: rgba(0, 0, 0, 0.8);
+        color: #fff;
+        padding: 5px 10px;
+        border-radius: 5px;
+        pointer-events: none;
+        opacity: 0;
+        transition: opacity 0.2s;
+        font-size: 14px;
+      }
+      .island {
+        stroke: #fff;
+        stroke-width: 1;
+        cursor: pointer;
+        transition: fill 0.2s;
+      }
+      .barlavento {
+        fill: #4caf50;
+      }
+      .sotavento {
+        fill: #2196f3;
+      }
+      .island:hover {
+        opacity: 0.5;
+      }
+    </style>
+  </head>
+  <body>
+    <div class="tooltip" id="tooltip"></div>
+    <svg
+      class="map-svg"
+      xmlns:mapsvg="http://mapsvg.com"
+      xmlns:dc="http://purl.org/dc/elements/1.1/"
+      xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
+      xmlns:svg="http://www.w3.org/2000/svg"
+      xmlns="http://www.w3.org/2000/svg"
+      mapsvg:geoViewBox="-25.361959 17.205510 -22.664740 14.801614"
+      width="350"
+      height="330"
+    >
+      <path
+        class="island sotavento"
+        transform="scale(0.4, 0.4)"
+        d="m 216.68917,759.77285 0.71,1 -1.06,0.82 0.27,0.46 1.06,-0.46 0.44,0.73 1.42,0.18 0.44,0.55 -0.97,0.46 -0.27,0.82 -0.97,-0.18 -0.18,0.73 0.89,0.27 -0.35,0.64 0.18,2.73 0.89,0.09 0.18,1.18 0.71,0.91 -0.09,0.82 1.33,1 0.44,1.27 -0.09,1.37 -0.88,1.64 0.62,0.73 0.35,0.36 0.8,0.64 -0.35,0.82 -1.06,0 -0.27,1 0.53,1 0,0.55 -0.44,0.82 -1.42,0.46 0.44,1 -0.71,2 0.27,0.46 -1.24,0.18 -0.62,1 -0.62,-0.27 -1.24,0.82 -0.44,0.55 -0.44,0.36 -0.53,0 -0.44,0.82 -0.88,-0.18 -0.71,0.73 -0.35,0.55 -0.97,0.09 0,0.73 -0.62,0.27 -1.24,-1 0.62,-0.64 -0.18,-1.27 -2.04,0.36 -0.27,0.64 -0.53,-0.55 -0.62,0.64 -0.09,-0.91 -1.24,0.09 -0.09,-0.73 -0.62,-0.09 -1.24,-0.46 -0.09,-1.18 -1.42,-1.18 -0.44,-1.64 -0.71,-0.46 -0.97,-1.82 -0.8,0.18 -0.62,1.37 -2.04,-1.73 0,-2.28 0.71,0.18 0.35,-2.82 -1.33,-1 0.18,-0.82 0.88,-0.27 -1.24,-1.18 0.53,-0.73 -0.27,-1.27 0.44,-0.18 -0.44,-0.82 0.8,0.27 0.71,-0.73 0.44,0.82 0.97,-0.55 1.06,0.55 1.24,-0.82 0.18,-1.55 -0.97,-0.09 -0.35,-0.73 0.35,-1 -0.27,-1.09 0.8,0.36 0.27,-0.91 1.33,-1.09 -0.09,-1.55 0.44,0.09 -0.09,0.64 0.53,0.09 0,0.36 0.88,-0.18 0.27,0.55 0.8,-1 0.71,0.64 -0.09,0.55 1.06,0.36 0.53,-0.55 -0.18,-0.36 1.24,-1 1.68,-0.27 0.44,-0.45 2.66,-0.09 0.62,-0.46 -0.09,-1.46 1.86,-0.09 0.62,1 0.7,-1.21 z m 7.97,-23.49 0.53,1.55 -1.06,-0.27 -0.71,0.64 -0.53,-0.27 0.18,-1.09 1.37,0.3 -0.22,-0.48 0.44,-0.38 z m 2.83,-0.09 0.53,0.46 0,0.91 -0.97,-0.27 0,-1.09 0.44,0 z m -10.97,-1.82 1.15,0.82 0.09,1 -0.53,1 -0.71,0 0.27,0.73 -0.71,0.73 0.44,0.36 -1.42,1.28 -2.04,0.36 -1.33,-1.37 0.09,-1.18 0.8,0.55 -0.09,-1.09 0.89,-0.73 -0.35,-0.64 0.88,-0.09 -0.09,-0.55 1.15,-1.09 0.53,0.18 0,0.91 0.35,0 0.18,-1 0.45,-0.18 z m 15.4,-2.1 1.15,1.91 0.71,0.09 -0.18,1.64 -1.15,-0.37 0.44,0.82 -0.89,0.46 -0.27,0.73 -0.35,-0.27 -0.35,0.45 -0.3,-0.18 -0.14,1.1 -0.62,0.73 -1.06,-0.73 0,-0.46 -0.97,0.55 0.89,-1.55 0.88,0.09 0.18,-0.64 1.5,-0.73 0.09,-1.09 0.35,-0.09 -0.35,-0.27 0.35,-1.37 -0.44,-0.64 0.53,-0.18 z"
+        title="Brava"
+        id="CV-BR"
+      />
+      <path
+        class="island barlavento"
+        transform="scale(0.4, 0.4)"
+        d="m 772.87917,340.29285 2.13,0.73 0.62,0.83 0.71,0 0.88,1.28 0.09,1.28 -0.62,0.37 -0.8,-0.73 -1.15,-0.18 -0.18,-1.19 -1.59,-1.01 -0.09,-1.38 z m 47.44,-17.04 0,1.1 0.53,-0.18 0.53,-1.19 0.44,0.37 -0.35,0.92 0.53,-0.18 0.02,-0.41 0.59,0.23 -0.71,1.19 0.8,0.92 2.83,-0.18 0.35,-0.37 0.53,0.64 2.57,0.64 4.25,2.38 2.48,0.27 0.8,-0.37 0.71,0.82 2.21,-0.18 0.62,1.37 1.06,0.37 1.42,-0.73 1.5,0.46 0.53,-0.37 0.27,0.37 -0.62,0.55 0.53,0.27 0.44,-0.37 0,0.83 0.71,0 0.27,-0.73 1.15,0.37 0,0.83 -0.62,0 -1.24,1.1 0.44,1.1 1.06,0.18 -0.62,2.11 -0.44,0.27 1.06,2.75 6.02,6.05 2.74,3.39 0.62,0.18 0.18,0.64 0.8,-0.27 -0.53,1.1 0.8,2.47 -0.27,1.1 1.5,1.65 -1.95,-0.64 -0.97,1.28 -0.27,1.74 0.97,2.02 0.09,1.65 1.24,1.01 -0.27,2.29 0.71,0.46 0,1.74 0.8,1.47 -0.18,0.46 0.71,0.09 0,0.64 -0.97,-0.18 -0.27,0.37 0,1.46 -1.15,0.82 -0.35,1.92 -1.33,1.28 -0.18,1.19 -0.62,0.27 -0.53,4.3 -2.13,2.75 -0.88,0 -0.89,0.64 -0.35,-0.73 -0.62,-0.18 -1.95,2.11 -2.74,0.73 -1.5,1.74 0.27,0.55 -0.71,0.82 -0.8,-0.18 -1.24,1.01 -1.24,-0.46 -0.71,0.82 -1.95,0.55 -5.4,3.39 -0.71,0 -0.53,-0.64 -0.71,0.92 0.35,0.55 -0.53,0.18 -0.88,2.01 -2.83,0.92 -2.39,0.18 -0.71,0.55 0,0.64 -3.01,1.92 -2.12,2.56 -0.09,0.92 -1.42,0 -0.97,0.55 -1.59,-1.1 -0.97,0.37 -2.3,-0.46 -10.8,0.09 -7.53,1.37 -1.24,-1.28 -0.8,-0.18 -0.35,-1.65 -1.33,-1.19 -0.18,-1.92 -2.3,-1.83 -2.66,-1.1 -0.44,0.82 -0.44,0 -5.13,-1.28 -7.79,-3.57 -2.13,-2.75 0.44,-2.56 -1.15,-1.1 -0.97,1.1 0.09,-1.65 -1.59,-2.29 1.59,-2.75 0,-1.46 0.53,-0.92 -0.44,-2.11 0.27,-1.28 1.33,-1.1 0.27,-0.82 -1.33,-3.3 3.72,-4.21 1.5,-0.92 1.24,0.37 1.5,-0.37 7.26,-6.32 0.27,-1.1 1.24,-0.92 0.09,-1.92 -0.8,-1.83 0.8,-1.37 0.27,-1.65 1.77,-0.92 -0.35,-0.85 0.27,-0.82 -1.59,0.64 0,-0.82 -0.53,-0.18 -0.18,-1.56 -0.62,-0.46 -0.44,-1.74 -1.06,-0.55 -0.44,-2.38 -1.77,-0.64 -0.09,-0.92 0.71,-0.27 -0.27,-0.82 0.71,-1.19 0,-0.37 -0.44,0.18 -0.44,-0.46 0.71,-0.64 0.89,0.46 -0.44,-2.56 0.62,-1.01 1.33,-0.73 0,-1.19 -2.92,-1.46 0.8,-2.02 -0.18,-1.56 -0.88,-0.37 0.35,-2.11 1.95,-1.19 1.77,0 -0.53,2.11 1.59,0.46 2.39,1.83 1.15,-0.27 0.44,0.46 -0.27,0.92 2.21,1.83 5.4,1.74 5.49,0.37 2.39,-0.46 3.54,0.27 8.32,-1.74 2.04,-1.1 2.04,-2.2 1.06,0.18 0.53,-0.46 -0.18,-0.64 -1.24,0.27 -0.71,-1.28 0.35,-0.37 0.97,0.18 -0.44,-0.55 0.18,-1.19 1.5,-0.46 -0.19,0.83 z"
+        title="Boa Vista"
+        id="CV-BV"
+      />
+      <path
+        class="island sotavento"
+        transform="scale(0.4, 0.4)"
+        d="m 552.39917,689.24285 -3.46,3.03 -4.47,1.59 -0.17,2.3 1.03,1.42 0,1.42 -1.55,2.3 0.69,3.01 -0.13,3.3 0,0 -0.59,0 0,0 -1.91,1.31 -1.06,5.89 -5.52,0 -1.27,0.66 -1.27,1.75 0.21,2.18 -1.7,3.05 -0.21,1.31 0,1.09 1.7,2.18 -0.64,0.88 -1.9,0.43 -4.19,5.57 0,0 -0.62,-0.36 -1.95,0.18 -0.8,-1.37 -1.32,-0.36 -0.45,-1.37 0.62,-1 0.36,0.37 1.5,-0.28 -0.26,-1.54 0.88,0.18 -0.09,-0.46 1.07,-0.64 0.17,-1.09 -0.79,-0.27 -0.27,-0.82 1.15,-0.64 -0.09,-1.36 -0.53,0.09 -0.53,-0.82 -0.53,0 0.09,-0.64 -1.51,-1.46 -0.62,-0.09 -0.7,-1.37 -1.78,-0.27 -0.97,-0.82 -0.88,-1.82 -0.71,-0.46 -0.89,0.37 -0.44,1.27 -1.24,0.1 -1.24,-2.28 -0.09,-1.73 -1.06,-0.73 -0.71,-1.73 -1.24,-0.28 -0.44,-0.91 0.27,-1.27 -1.86,-0.73 -0.98,-1.19 -0.62,0 -0.26,0.64 -1.15,-0.18 0.35,-1.28 -1.06,-1.54 0.35,-0.82 1.15,0.27 0.98,-0.46 -0.18,-1.64 -1.24,-2.09 0.36,-1 -0.36,-0.91 2.57,-1.37 -0.36,-1 0.45,-0.55 -0.36,-3.1 0.53,-1.82 0.54,0 -0.36,-1.37 0.71,-0.91 -0.09,-0.45 -1.15,-0.1 0.18,-1.09 1.59,-0.45 1.59,-2.37 -0.08,-0.82 -1.24,-0.73 0,-1.01 0.53,-0.18 0.53,-1.82 -1.86,-0.55 0.09,-2.82 -0.44,-0.73 1.15,-1.46 -2.13,-3.56 1.24,0.1 1.33,-0.92 -0.53,-1.73 0.26,-2 1.86,-2.34 0,0 3.95,0.06 2.33,-1.09 1.7,0.87 1.49,1.53 1.27,0.22 0.63,-0.22 1.06,-4.15 1.91,0.66 0.64,1.52 1.27,1.31 4.24,0 0,0 0.64,5.68 1.06,0.87 4.24,0 1.48,0.44 3.82,3.49 1.49,2.63 -0.43,1.96 -2.33,3.71 -0.21,1.09 0.42,0.88 1.91,0 3.39,-0.88 4.79,-6.11 0,0 2.21,0.44 0.42,1.74 -1.06,3.28 0,1.31 1.27,0.43 0,1.31 -0.42,0.88 -1.7,0.22 -0.84,0.65 0,1.96 0,0 z"
+        title="Santa Catarina"
+        id="CV-CA"
+      />
+      <path
+        class="island sotavento"
+        transform="scale(0.4, 0.4)"
+        d="m 343.62917,750.22285 -2.09,2.12 -4.13,6.76 -3.48,2.52 -5.94,1.33 -4,0.27 -4,-0.93 -4.77,-4.25 -1.16,-4.11 0.13,-3.85 1.93,-2.38 5.29,-4.25 2.6,-2.69 0,0 1.7,1.62 0,0 2.84,0.49 5.44,-0.98 7.87,-0.13 0,0 0.71,3.35 0.62,0.28 z"
+        title="Santa Catarina do Fogo"
+        id="CV-CF"
+      />
+      <path
+        class="island sotavento"
+        transform="scale(0.4, 0.4)"
+        d="m 574.91917,705.21285 -0.35,-3.56 -1.2,-4.6 -1.38,-0.89 -1.89,0 -0.86,0.18 -2.41,1.77 -0.69,0 -2.06,-0.71 -0.35,-1.41 -1.2,-0.53 -0.69,-1.78 -0.71,-0.42 0,0 0.85,-0.49 0,0 2.33,-0.21 0,-1.75 -1.69,-1.31 -9.97,0 0,0 -0.63,-0.66 0,0 0,-1.96 0.84,-0.65 1.7,-0.22 0.42,-0.88 0,-1.31 -1.27,-0.43 0,-1.31 1.06,-3.28 -0.42,-1.74 -2.21,-0.44 0,0 0.3,-0.44 3.18,0 1.49,-0.43 8.82,-7.71 0,0 0.87,0.46 0.62,-0.18 0.7,1.27 0.71,-1 0.89,0.27 0.18,0.28 -0.89,0.45 0.09,1.73 1.41,-0.18 0.62,0.46 -0.35,1.64 -0.71,0 0.09,0.54 -0.44,0.28 0.62,0.64 1.33,0.18 0.7,1 0.98,0.37 1.59,-0.1 -0.09,-0.63 0.62,0.09 -0.18,2 2.04,-0.54 0.98,-1.1 0.97,0 1.33,0.46 0.88,0.91 -0.71,1.46 0.8,-0.64 1.15,0.27 0.71,-0.73 0.35,1.73 1.33,0.19 -0.09,0.82 0.44,0.45 -0.26,1.1 -0.62,0.09 -0.27,0.73 0.71,0.73 0.09,1.27 1.15,-0.09 0.53,0.55 1.86,-0.28 1.06,1.01 1.51,0.36 1.59,-0.18 0.36,0.45 -0.18,2.83 1.33,2.92 -0.62,0.91 0.88,-0.37 0.71,0.91 0.09,0.82 0.71,0.28 -0.45,1.18 0.62,0.64 0,0 -1.21,1.7 -2.33,6.11 -2.12,3.71 -4.03,3.27 -2.54,0.88 -2.55,-0.22 -1.27,-2.84 -3.61,-1.75 -0.84,-1.52 0,0 z"
+        title="Santa Cruz"
+        id="CV-CR"
+      />
+      <path
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