Create app.py

app.py

@@ -0,0 +1,49 @@
+import numpy as np
+import gradio as gr
+
+def flip_text(x):
+    return x[::-1]
+
+def extract_qa(question):
+    """
+        抽取式qa
+    """
+    return question
+
+def flip_image(x):
+    return np.fliplr(x)
+
+with gr.Blocks() as demo:
+    gr.Markdown("""
+        # 自研大语言模型DEMO
+        - 抽取式QA
+        - 小区测评
+    """)
+    with gr.Tab("抽取式QA"):
+        text_input = gr.Textbox(label="输入",placeholder="默认值")
+        gr.Examples(["出租出去的房屋家电坏了，应该谁负责出维修费用？", "退租房东不还押金怎么办？"], inputs=text_input)
+        text_button = gr.Button("提交")
+        text_output = gr.Textbox(label="输出")
+
+    with gr.Tab("小区测评"):
+        #text_input = gr.Textbox()
+        text_input = gr.Textbox(label="输入",placeholder="默认值")
+        gr.Examples(["出租出去的房屋家电坏了，应该谁负责出维修费用？", "退租房东不还押金怎么办？"], inputs=text_input)
+        #text_output = gr.Textbox()
+        text_button = gr.Button("提交")
+        text_output = gr.Textbox(label="输出")
+
+    with gr.Tab("图像测试"):
+        with gr.Row():
+            image_input = gr.Image()
+            image_output = gr.Image()
+        image_button = gr.Button("翻转")
+
+    with gr.Accordion("备注"):
+        gr.Markdown("DEMO基于幸福里策略算法组自研大语言模型")
+
+    text_button.click(extract_qa, inputs=text_input, outputs=text_output)
+    #text_button.click(flip_text, inputs=text_input, outputs=text_output)
+    image_button.click(flip_image, inputs=image_input, outputs=image_output)
+
+demo.launch(share=True)