Update app.py

app.py

@@ -1,37 +1,22 @@
 import gradio as gr
+from transformers import pipeline
 
-title = "Legal Document Drafting"
+generator = pipeline('text-generation', model='jslin09/bloom-560m-finetuned-fraud')
 
-drafting_examples = [
+def generate(text):
+    result = generator(text, max_length=30, num_return_sequences=1)
+    return result[0]["generated_text"]
+
+examples = [
     ["闕很大明知金融帳戶之存摺、提款卡及密碼係供自己使用之重要理財工具，"],
     ["森上梅前明知其無資力支付酒店消費，亦無付款意願，竟意圖為自己不法之所有，"]
 ]
-def greet(name):
-    return drafting_examples[1]
-
-drafting_demo = gr.Interface.load(
-    "huggingface/jslin09/bloom-560m-finetuned-fraud",
-    fn=greet,
-    title=None,
-    examples=drafting_examples,
-    inputs=gr.Textbox(
-            label="Text 1",
-            info="Initial text",
-            lines=3,
-            value="森上梅前明知其無資力支付酒店消費，亦無付款意願，竟意圖為自己不法之所有，",
-        ),
-    outputs="text",
-    description="Give me something to say!",
-)
 
-stt_demo = gr.Interface.load(
-    "huggingface/jslin09/bloom-560m-finetuned-fraud",
-    title=None,
-    inputs="森上梅前明知其無資力支付酒店消費，亦無付款意願，竟意圖為自己不法之所有，",
-    description="Let me try to guess what you're saying!",
+demo = gr.Interface(
+    fn=generate,
+    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
+    outputs=gr.outputs.Textbox(label="Generated Text"),
+    examples=examples
 )
 
-demo = gr.TabbedInterface([drafting_demo, stt_demo], ["Verdicts Drafting", "Speech-to-text"])
-
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()