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import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load your model and tokenizer
model_name = "Sakshi1307/SakshiAI"
tokenizer = AutoTokenizer.from_pretrained(model_name,use_fast=False)
model = AutoModelForCausalLM.from_pretrained(model_name)
def generate_answer(question):
inputs = tokenizer.encode(question, return_tensors='pt')
outputs = model.generate(inputs, max_length=500, num_return_sequences=1)
answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
return answer
# Create a Gradio interface
iface = gr.Interface(
fn=generate_answer,
inputs=gr.inputs.Textbox(lines=2, placeholder="Enter your interview question here..."),
outputs="text",
title="Interview Simulation AI",
description="This AI model simulates me in an interview questions. Type in a question and see how it responds!"
)
# Launch the application
if __name__ == "__main__":
iface.launch()
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