Upload folder using huggingface_hub

.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----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=
+-----END CERTIFICATE-----

app.py

@@ -0,0 +1,83 @@
+# app.py — Beautiful web UI with Gradio
+
+import gradio as gr
+from transformers import pipeline
+
+MODEL_PATH = "fabriceyhc/bert-base-uncased-ag_news"
+
+LABELS = {
+    "LABEL_0": "🌍 World News",
+    "LABEL_1": "⚽ Sports",
+    "LABEL_2": "💼 Business",
+    "LABEL_3": "💻 Sci / Tech"
+}
+
+# Load model once
+print("Loading model...")
+classifier = pipeline(
+    "text-classification",
+    model=MODEL_PATH,
+    return_all_scores=True
+)
+
+def classify_article(text):
+    if not text.strip():
+        return {}, "Please enter some text!"
+
+    results = classifier(text)
+
+    # Fix: handle both list-of-list and list-of-dict formats
+    if isinstance(results[0], list):
+        results = results[0]
+
+    # Build confidence dict for Gradio bar chart
+    scores = {LABELS[r["label"]]: round(r["score"], 4) for r in results}
+
+    best = max(results, key=lambda x: x["score"])
+    label = LABELS[best["label"]]
+    conf  = best["score"] * 100
+    verdict = f"**{label}** — {conf:.1f}% confidence"
+
+    return scores, verdict
+
+# ── Build UI ──
+with gr.Blocks(title="📰 News Classifier", theme=gr.themes.Soft()) as demo:
+    gr.Markdown("# 📰 News Article Classifier")
+    gr.Markdown("Powered by **DistilBERT** fine-tuned on AG News dataset")
+
+    with gr.Row():
+        with gr.Column(scale=2):
+            text_input = gr.Textbox(
+                label="Paste your news article here",
+                placeholder="e.g. Apple revealed its new MacBook Pro...",
+                lines=6
+            )
+            classify_btn = gr.Button("🔍 Classify", variant="primary")
+
+            gr.Examples(
+                examples=[
+                    ["NASA launched a new Mars rover to study ancient riverbeds on the planet's surface."],
+                    ["The stock market fell sharply after the Federal Reserve raised interest rates."],
+                    ["Lionel Messi scored a hat-trick to lead Argentina to victory in the World Cup final."],
+                    ["Scientists discovered a new method to generate clean energy from seawater."],
+                ],
+                inputs=text_input,
+                label="📋 Try these examples"
+            )
+
+        with gr.Column(scale=1):
+            verdict_out = gr.Markdown(label="Result")
+            scores_out  = gr.Label(label="Confidence Scores", num_top_classes=4)
+
+    classify_btn.click(
+        fn=classify_article,
+        inputs=text_input,
+        outputs=[scores_out, verdict_out]
+    )
+    text_input.submit(
+        fn=classify_article,
+        inputs=text_input,
+        outputs=[scores_out, verdict_out]
+    )
+
+demo.launch(share=True)  # share=True gives a public link!

requirements.txt

@@ -0,0 +1,4 @@
+transformers
+torch
+gradio
+scikit-learn