Update app.py

app.py

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+import gradio as gr
+import torch
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+model_path = "arad1367/crypto_sustainability_news_text_classifier-distilbert-base-uncased"
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForSequenceClassification.from_pretrained(model_path)
+
+def crypto_classifier(text: str):
+    inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)
+    outputs = model(**inputs)
+    probabilities = torch.nn.functional.softmax(outputs.logits, dim=-1)
+    
+    labels = ["Negative", "Neutral", "Positive"]
+    output_dict = {label: prob.item() for label, prob in zip(labels, probabilities[0])}
+    return output_dict
+
+custom_css = """
+.container { 
+    max-width: 1200px; 
+    margin: auto; 
+    padding: 20px;
+    font-family: 'Inter', system-ui, -apple-system, sans-serif;
+}
+.header { 
+    text-align: center; 
+    margin: 2em 0;
+    color: #2d7ff9;
+}
+.description {
+    text-align: center;
+    margin-bottom: 2em;
+    color: #666;
+}
+.footer { 
+    text-align: center; 
+    margin-top: 20px;
+    padding: 20px;
+    border-top: 1px solid #eee;
+    background: #f8f9fa;
+}
+.footer a { 
+    color: #2d7ff9; 
+    text-decoration: none; 
+    margin: 0 10px;
+    font-weight: 500;
+}
+.footer a:hover { 
+    text-decoration: underline; 
+}
+.duplicate-button {
+    background-color: #2d7ff9 !important;
+    color: white !important;
+    border-radius: 8px !important;
+    padding: 10px 20px !important;
+    margin: 20px auto !important;
+    display: block !important;
+}
+"""
+
+examples = [
+    ["The Crypto Alpha Conference, focusing on sustainability in the cryptocurrency world, will be organized next year."],
+    ["There are growing concerns about the environmental impact of cryptocurrency mining processes."],
+    ["Major companies have committed to investing in sustainable cryptocurrencies."],
+    ["The new blockchain protocol reduces energy consumption by 90%."],
+    ["Renewable energy adoption in mining operations has increased significantly."],
+    ["The decentralized network operates on renewable energy sources."],
+    ["Bitcoin mining contributes to increased carbon emissions in developing countries."]
+]
+
+with gr.Blocks(theme='earneleh/paris', css=custom_css) as demo:
+    with gr.Column(elem_classes="container"):
+        gr.Markdown("# Cryptocurrency News Sustainability Classifier", elem_classes="header")
+        gr.Markdown(
+            "Analyze cryptocurrency-related text to determine its sustainability implications.", 
+            elem_classes="description"
+        )
+        
+        input_text = gr.Textbox(
+            label="Input Text",
+            placeholder="Enter cryptocurrency-related news or statement...",
+            lines=3
+        )
+        output_label = gr.Label(label="Classification Results", num_top_classes=3)
+        submit_btn = gr.Button("Analyze", variant="primary")
+        
+        gr.Examples(examples=examples, inputs=input_text)
+        
+        submit_btn.click(fn=crypto_classifier, inputs=input_text, outputs=output_label)
+        
+        gr.DuplicateButton(
+            value="Duplicate Space for private use",
+            elem_classes="duplicate-button"
+        )
+        
+        gr.HTML("""
+            <div class="footer">
+                <a href="https://www.linkedin.com/in/pejman-ebrahimi-4a60151a7/" target="_blank">LinkedIn</a> |
+                <a href="https://github.com/arad1367" target="_blank">GitHub</a> |
+                <a href="https://arad1367.pythonanywhere.com/" target="_blank">Live demo of my PhD defense</a>
+                <p>Made with 💖 by Pejman Ebrahimi</p>
+            </div>
+        """)
+
+demo.launch(share=True)