Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load your fine-tuned model from Hugging Face Hub
+model_name = "mjpsm/math-affirmation-model"
+generator = pipeline("text2text-generation", model=model_name)
+
+# Define the interface function
+def generate_affirmation(situation):
+    result = generator(situation, max_length=64, clean_up_tokenization_spaces=True)[0]["generated_text"]
+    return result
+
+# Gradio UI
+title = "🎓 Math Affirmation Generator"
+description = """
+Enter a student's situation, struggle, or emotional state during a math activity.  
+This model, trained on Math Narrative-aligned affirmations, will respond with a positive and empathetic affirmation.
+
+Example prompts:
+- "Felt overwhelmed after missing several questions"
+- "Struggled with algebra problems"
+- "Lost confidence after being wrong in front of peers"
+"""
+
+demo = gr.Interface(
+    fn=generate_affirmation,
+    inputs=gr.Textbox(lines=3, placeholder="Enter the student's situation here..."),
+    outputs=gr.Textbox(label="Affirmation"),
+    title=title,
+    description=description,
+    theme="soft"
+)
+
+demo.launch()