app update

app.py

@@ -1,26 +1,25 @@
 
-# import sys
-# sys.path.append("/home/wcx/wcx/EasyDetect/pipeline")
-
+import gradio as gr
+from pipeline.run_pipeline import *
 # from run import *
 # '''
 # 把一些文件移动到此文件路径下
 # '''
 # text = "A person is cutting a birthday cake with two red candles that spell out \"21\". The surface of the cake is round, and there is a balloon in the room. The person is using a silver knife to cut the cake."
 # image_path = "/newdisk3/wcx/val2014/COCO_val2014_000000297425.jpg"
-# pipeline = Pipeline()
-# res = pipeline.run(text=text, image_path=image_path)
 
-# def greet(name, cnt):
-#     return "Hello " * cnt + name + "!"
+def get_response(text, filepath):
+    pipeline = Pipeline()
+    res = pipeline.run(text=text, image_path=image_path)
+    return res
 
-# demo = gr.Interface(
-#     fn=greet,
-#     inputs=["text", "slider"],
-#     outputs=["text"],
-# )
+demo = gr.Interface(
+    fn=get_response,
+    inputs=["text", gr.Image(type="filepath")],
+    outputs=["text"],
+)
 
-# demo.launch()
+demo.launch()
 
 # def generate_mutimodal(title, context, img):
 #     return f"Title:{title}\nContext:{context}\n...{img}"
@@ -37,23 +36,23 @@
 
 # server.launch()
 
-import numpy as np
-import gradio as gr
-def sepia(input_img):
-    #处理图像
-    sepia_filter = np.array([
-        [0.393, 0.769, 0.189],
-        [0.349, 0.686, 0.168],
-        [0.272, 0.534, 0.131]
-    ])
-    sepia_img = input_img.dot(sepia_filter.T)
-    sepia_img /= sepia_img.max()
-    return sepia_img
+# import numpy as np
+# import gradio as gr
+# def sepia(input_img):
+#     #处理图像
+#     sepia_filter = np.array([
+#         [0.393, 0.769, 0.189],
+#         [0.349, 0.686, 0.168],
+#         [0.272, 0.534, 0.131]
+#     ])
+#     sepia_img = input_img.dot(sepia_filter.T)
+#     sepia_img /= sepia_img.max()
+#     return sepia_img
 # #shape设置输入图像大小
 # demo = gr.Interface(sepia, gr.Image(), "image")
 # demo.launch()
 
 # Download human-readable labels for ImageNet.
 
-gr.Interface(fn=sepia,inputs=gr.Image(type="pil"),outputs="image").launch()
+# gr.Interface(fn=sepia,inputs=gr.Image(type="pil"),outputs="image").launch()