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import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
MODEL_PATH = "lzw1008/ConspEmoLLM-v2"
tokenizer = AutoTokenizer.from_pretrained(MODEL_PATH)
model = AutoModelForCausalLM.from_pretrained(MODEL_PATH)
def classify_conspiracy(text):
prompt = f"""Human:
Task: Classify the text regarding conspiracy theories or misinformation.
Text: {text}
Assistant:
"""
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=128)
result = tokenizer.decode(outputs[0], skip_special_tokens=True)
return result
demo = gr.Interface(
fn=classify_conspiracy,
inputs=gr.Textbox(
lines=5,
placeholder="Enter text to classify...",
label="Input Text"
),
outputs=gr.Textbox(
lines=10,
label="Classification Result"
),
title="ConspEmoLLM-v2 API",
description="Classifies input text for conspiracy theories using the ConspEmoLLM-v2 LLM."
)
if __name__ == "__main__":
demo.launch()
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