.

app.py

@@ -0,0 +1,22 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the pre-trained model for text generation (GPT-2)
+generator = pipeline("text-generation", model="gpt2")
+
+# Function to generate poems based on a prompt
+def generate_poem(prompt):
+    poem = generator(prompt, max_length=100, num_return_sequences=1)[0]['generated_text']
+    return poem.strip()
+
+# Gradio interface
+iface = gr.Interface(
+    fn=generate_poem,
+    inputs=gr.Textbox(lines=2, placeholder="Enter a prompt for your poem here...", label="Poem Prompt"),
+    outputs="text",
+    title="Poem Generator",
+    description="Generate poems with AI. Provide a prompt and let the AI create a poem for you!",
+)
+
+# Launch the Gradio app
+iface.launch(share=True)

requirements.txt

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+gradio
+transformers
+torch
+tensorflow