Create app.py

app.py

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+import gradio as gr
+import requests
+
+# Replace with free HF model that doesn’t require billing
+HF_MODEL = "google/flan-t5-small"  # Small free model
+HF_API_URL = f"https://api-inference.huggingface.co/models/{HF_MODEL}"
+HF_KEY = ""  # Empty if using public free endpoint
+HEADERS = {"Authorization": f"Bearer {HF_KEY}"} if HF_KEY else None
+
+def humanize_text(text):
+    prompt = f"Rewrite the following text to be human-like, plagiarism-free, and natural:\n{text}"
+    payload = {"inputs": prompt}
+    try:
+        response = requests.post(HF_API_URL, headers=HEADERS, json=payload, timeout=60)
+        if response.status_code == 200:
+            result = response.json()
+            if isinstance(result, list) and "generated_text" in result[0]:
+                return result[0]["generated_text"]
+            return str(result[0])
+        else:
+            return f"Error: {response.status_code} - {response.text}"
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+iface = gr.Interface(
+    fn=humanize_text,
+    inputs=gr.Textbox(lines=15, placeholder="Paste your text here..."),
+    outputs="text",
+    title="HumanizeAI — Plagiarism Remover",
+    description="Paste your text and click Submit. The AI will rewrite it to be human-like and plagiarism-free."
+)
+
+iface.launch()