Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the text generation model
+generator = pipeline("text-generation", model="gpt2", max_length=100)
+
+def generate_description(topic):
+    # Prompt the model to describe the topic
+    prompt = f"Describe the following topic briefly: {topic}"
+    result = generator(prompt, max_length=100, num_return_sequences=1)
+    return result[0]["generated_text"]
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=generate_description,
+    inputs=gr.Textbox(label="Enter a Topic", placeholder="e.g., Heart"),
+    outputs=gr.Textbox(label="Description"),
+    title="Topic Describer",
+    description="Enter a topic, and the app will describe it briefly."
+)
+
+# Launch the app
+interface.launch()