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README.md

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+---
+title: Cyberhunk
+emoji: 📈
+colorFrom: indigo
+colorTo: yellow
+sdk: gradio
+sdk_version: 6.3.0
+app_file: app.py
+pinned: false
+license: mit
+short_description: Cyberhunk ML demo / model API
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load models once on startup
+sentiment_model = pipeline("sentiment-analysis", model="Anjanie/roberta-sentiment")
+toxicity_model = pipeline("text-classification", model="Anjanie/distilbert-base-uncased-toxicity")
+misinfo_model = pipeline("text-classification", model="Anjanie/bert-base-uncased-misinformation")
+ner_model = pipeline("text-classification", model="Anjanie/bert-base-cased-ner")
+
+def analyze_text(text):
+    sentiment = sentiment_model(text)[0]["label"]
+    toxicity = toxicity_model(text)[0]["label"]
+    misinfo = misinfo_model(text)[0]["label"]
+    return {
+        "sentiment": sentiment,
+        "toxicity": toxicity,
+        "misinformation": misinfo
+    }
+
+# Expose as a simple Gradio interface
+iface = gr.Interface(
+    fn=analyze_text,
+    inputs=gr.Textbox(lines=3, placeholder="Enter text here..."),
+    outputs=gr.JSON(),
+    title="Cyberhunk Text Analyzer",
+    description="Sentiment, Toxicity, and Misinformation analysis"
+)
+
+if __name__ == "__main__":
+    iface.launch(server_name="0.0.0.0", server_port=7860, share=True)
+

requirements.txt

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+transformers
+torch
+gradio
+regex