Spaces:
Runtime error
Runtime error
File size: 577 Bytes
3011933 4150899 3011933 4150899 6cabfd2 4150899 3011933 4150899 3011933 4150899 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "THUDM/cogvlm2-video-llama3-chat"
model = AutoModelForCausalLM.from_pretrained(model_name, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_name)
def generate_response(video_input):
inputs = tokenizer(video_input, return_tensors="pt")
outputs = model.generate(**inputs)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
return response
iface = gr.Interface(fn=generate_response, inputs="text", outputs="text")
iface.launch()
|