Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Initialize pipelines for generation and sentiment
+haiku_generator = pipeline("text2text-generation", model="google/flan-t5-small")
+sentiment_analyzer = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+def generate_zen_output(text):
+    if not text.strip():
+        return "Please enter a thought.", "No sentiment detected."
+    
+    # Generate Haiku using a prompt-based approach
+    haiku_prompt = f"Write a haiku about: {text}"
+    haiku_result = haiku_generator(haiku_prompt, max_length=50, num_beams=5)[0]['generated_text']
+    
+    # Analyze Sentiment
+    sentiment_result = sentiment_analyzer(text)[0]
+    label = sentiment_result['label']
+    score = sentiment_result['score']
+    
+    mood_indicator = f"{label} energy ({round(score * 100, 1)}% confidence)"
+    return haiku_result, mood_indicator
+
+# UI Styling
+css = ".gradio-container {background-color: #fcfaf2; font-family: 'Georgia', serif;} .main-title {text-align: center; color: #4a5568;}"
+
+with gr.Blocks(css=css) as demo:
+    gr.Markdown("# 🌸 Zen Garden AI", elem_classes="main-title")
+    gr.Markdown("Transform your thoughts into haikus and visualize the emotional atmosphere of your words.")
+    
+    with gr.Row():
+        with gr.Column():
+            input_box = gr.Textbox(placeholder="Describe a feeling, a place, or a moment...", label="Your Input", lines=3)
+            submit_btn = gr.Button("Seek Stillness", variant="primary")
+        
+        with gr.Column():
+            output_haiku = gr.Textbox(label="Generated Haiku", interactive=False)
+            output_mood = gr.Label(label="Atmospheric Reading")
+            
+    submit_btn.click(fn=generate_zen_output, inputs=input_box, outputs=[output_haiku, output_mood])
+    
+    gr.Examples(
+        examples=["A quiet morning by the lake", "The chaotic energy of a big city", "Finding a forgotten letter in a book"],
+        inputs=input_box
+    )
+
+if __name__ == '__main__':
+    demo.launch()