Create app.py

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Load your model and tokenizer
+model_name = "meta-llama/Llama-2-7b"  # Change to your model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+# Function to generate SEO-optimized content
+def generate_content(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+    outputs = model.generate(**inputs)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Set up the Gradio interface
+iface = gr.Interface(fn=generate_content, inputs="text", outputs="text")
+iface.launch()