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# gradio_app.py
import gradio as gr
from run_pipeline import get_fact_checked
def fact_check_function(text, model):
# Assume the text is already read from the user input, so we don't need to open a file here
out = get_fact_checked(text, mode="fast", model=model)
return out["fact_checked_md"]
def create_gradio_interface():
iface = gr.Interface(
title="Filtir - Fact-Checking AI generated content",
allow_flagging=False,
fn=fact_check_function,
inputs=[
gr.Textbox(
lines=6,
placeholder="Enter text to fact-check...",
label="Input Text",
max_lines=10,
),
gr.Dropdown(choices=["gpt-3.5-turbo", "gpt-4-1106-preview"], label="Model"),
],
outputs=gr.Markdown(label="Filtir Output"),
)
return iface
if __name__ == "__main__":
iface = create_gradio_interface()
iface.launch()
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