Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load a small but good text generation model
+# You can swap "gpt2" with a better free model like "tiiuae/falcon-7b-instruct" if you have GPU
+generator = pipeline("text-generation", model="gpt2", device_map="auto")
+
+def decode_dream(dream_text):
+    prompt = f"You are a dream interpretation expert. Decode the following dream:\n\n{dream_text}\n\nDream meaning:"
+    result = generator(prompt, max_length=200, num_return_sequences=1, temperature=0.8)
+    return result[0]['generated_text']
+
+demo = gr.Interface(
+    fn=decode_dream,
+    inputs=gr.Textbox(label="Describe your dream", placeholder="I was flying over a city at night..."),
+    outputs=gr.Textbox(label="Dream interpretation"),
+    title="Dream Decoder",
+    description="Describe your dream and get an AI-generated interpretation."
+)
+
+if __name__ == "__main__":
+    demo.launch()