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import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load the model and tokenizer
#model_name = "tiiuae/falcon-11b"
model_name = "tiiuae/falcon-7b"
model = AutoModelForCausalLM.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)
# Define the inference function
def generate_text(prompt):
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(inputs['input_ids'], max_length=50)
return tokenizer.decode(outputs[0], skip_special_tokens=True)
# Create the Gradio interface
interface = gr.Interface(fn=generate_text, inputs="text", outputs="text")
interface.launch()
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