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app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the model
+generator = pipeline("text2text-generation", model="MBZUAI/LaMini-Flan-T5-783M")
+
+# Define the function
+def humanize_text(input_text):
+    if not input_text.strip():
+        return "Please enter some text to humanize."
+    prompt = "Paraphrase this more naturally: " + input_text
+    result = generator(prompt, max_length=256, do_sample=True)
+    return result[0]["generated_text"]
+
+# Interface to expose /run/predict
+gr.Interface(
+    fn=humanize_text,
+    inputs=gr.Textbox(lines=6, label="Input Text"),
+    outputs=gr.Textbox(label="Humanized Text"),
+    title="🤖 AI Humanizer",
+    description="Enter AI-generated or robotic text and get a more natural, human-sounding version."
+).launch()