Create app.py

app.py

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+import gradio as gr
+import requests
+
+API_URL = "https://api-inference.huggingface.co/models/robinhad/roberta-base-openai-detector"
+
+def detect_ai(text):
+    headers = {"Content-Type": "application/json"}
+    payload = {"inputs": text}
+    response = requests.post(API_URL, headers=headers, json=payload)
+    try:
+        output = response.json()
+        ai_score = 0
+        human_score = 0
+        for item in output:
+            if "ai" in item["label"].lower():
+                ai_score = item["score"]
+            if "human" in item["label"].lower():
+                human_score = item["score"]
+        result = f"AI confidence: {ai_score*100:.2f}%\nHuman confidence: {human_score*100:.2f}%"
+        result += "\n\nLikely AI" if ai_score > human_score else "\n\nLikely Human"
+        return result
+    except:
+        return "Error: Could not interpret model output."
+
+def rewrite_text(text):
+    # Simple rewriting logic
+    replacements = {
+        "important": "crucial", "use": "utilize", "show": "demonstrate",
+        "get": "obtain", "make": "create", "say": "express"
+    }
+    for key, value in replacements.items():
+        text = text.replace(key, value)
+    return text
+
+def feedback_prompt(text):
+    return f"You are a teacher. Please give feedback on the following writing:\n\n{text}"
+
+with gr.Blocks() as demo:
+    gr.Markdown("## AI Detector + Rewriter + Feedback Prompt Generator")
+    text_input = gr.Textbox(lines=10, label="Enter Text")
+    detect_btn = gr.Button("Detect AI")
+    rewrite_btn = gr.Button("Rewrite Text")
+    feedback_btn = gr.Button("Generate Feedback Prompt")
+
+    ai_output = gr.Textbox(label="Detection Result")
+    rewritten = gr.Textbox(label="Rewritten Text")
+    feedback = gr.Textbox(label="Teacher Prompt")
+
+    detect_btn.click(detect_ai, text_input, ai_output)
+    rewrite_btn.click(rewrite_text, text_input, rewritten)
+    feedback_btn.click(feedback_prompt, rewritten, feedback)
+
+demo.launch()