Create app.py

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+from transformers import pipeline
+
+# Učitaj model za generisanje teksta
+generator = pipeline("text-generation", model="gpt2")
+
+def generate_blog_post(topic, keywords):
+    prompt = f"Write an SEO-optimized blog post about {topic}. Include keywords: {', '.join(keywords)}."
+    
+    generated = generator(prompt, max_length=500, num_return_sequences=1)
+    return generated[0]['generated_text']
+
+# Gradio interfejs
+def main():
+    with gr.Blocks() as demo:
+        gr.Markdown("# Blog Post Generator")
+        topic_input = gr.Textbox(label="Enter the blog topic", placeholder="e.g. Website Maintenance Tips")
+        keywords_input = gr.Textbox(label="Enter keywords (comma-separated)", placeholder="e.g. website maintenance, SEO, content updates")
+        
+        generate_button = gr.Button("Generate Blog Post")
+        output_area = gr.Textbox(label="Generated Blog Post", placeholder="Your blog post will appear here...", interactive=False)
+
+        generate_button.click(
+            fn=generate_blog_post,
+            inputs=[topic_input, keywords_input],
+            outputs=output_area
+        )
+
+    demo.launch()
+
+if __name__ == "__main__":
+    main()