Create app.py

app.py

@@ -0,0 +1,24 @@
+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+# Load the model and tokenizer
+model_name = "Qwen/Qwen1.5-7B"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(model_name)
+
+def generate_article(topic):
+    inputs = tokenizer(f"Generate article for the NY times tweet {topic}", return_tensors="pt")
+    outputs = model.generate(inputs['input_ids'], max_new_tokens=512, temperature=0.5)
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_article,
+    inputs="text",
+    outputs="text",
+    title="Article Generator",
+    description="Generate an article for a given topic."
+)
+
+# Launch the Gradio app
+iface.launch()