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import gradio as gr | |
import huggingface_hub as hf_hub | |
import os | |
hf_client = hf_hub.InferenceClient(token = os.environ['HF_TOKEN']) | |
client.headers["x-use-cache"] = "0" | |
def interface(question): | |
response = hf_client.text_generation( | |
prompt = question, | |
model = 'google/flan-t5-xxl', | |
max_new_tokens = 1024, | |
stream = False | |
) | |
return response | |
app = gr.Interface( | |
fn = interface, | |
inputs = gr.Textbox(label = 'Input Question'), | |
outputs = gr.Textbox(label = 'Generated Response') | |
) |