| import gradio as gr |
| from transformers import AutoModelForCausalLM, AutoTokenizer |
|
|
| model_name = "TinyLlama/TinyLlama-1.1B-Chat-v1.0" |
| model = AutoModelForCausalLM.from_pretrained(model_name) |
| tokenizer = AutoTokenizer.from_pretrained(model_name) |
|
|
| def generate_post(subreddit, topic): |
| prompt = f"Create a Reddit post for r/{subreddit} about {topic}" |
| inputs = tokenizer(prompt, return_tensors="pt") |
| outputs = model.generate(**inputs, max_length=200) |
| return tokenizer.decode(outputs[0]) |
|
|
| interface = gr.Interface( |
| fn=generate_post, |
| inputs=["text", "text"], |
| outputs="text", |
| title="Reddit Post Generator" |
| ) |
|
|
| interface.launch() |
