Create app.py

app.py

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+from transformers import pipeline
+import gradio as gr
+
+# Load a better AI model
+generator = pipeline("text2text-generation", model="google/flan-t5-base")
+
+def prompting_coach(prompt):
+    response = generator(prompt, max_length=100, num_return_sequences=1)[0]['generated_text']
+
+    tips = []
+    if len(prompt.split()) < 5:
+        tips.append("🟡 Try making your prompt longer for better results.")
+    if not prompt.endswith("?") and prompt.lower().startswith(("what", "how", "why")):
+        tips.append("🟡 Try ending with a question mark (?) if you're asking something.")
+    if any(word in prompt.lower() for word in ["cat", "dog", "story"]):
+        tips.append("✅ Nice! Specific topics help the AI stay focused.")
+
+    feedback = "\n".join(tips) if tips else "✅ Great prompt! Let's see what the AI thinks."
+
+    return response, feedback
+
+gr.Interface(
+    fn=prompting_coach,
+    inputs="text",
+    outputs=["text", "text"],
+    title="🎓 Prompting Coach",
+    description="Type a prompt and get an AI-generated response + tips to improve your prompt!",
+    examples=[
+        ["Tell me a story about a robot in space."],
+        ["What is AI?"],
+        ["Write a poem about pizza."]
+    ]
+).launch()