my app

app.py

@@ -1,4 +1,4 @@
-import gradio as gr
+
 # import sys
 # sys.path.append("/home/wcx/wcx/EasyDetect/pipeline")
 
@@ -22,17 +22,34 @@ import gradio as gr
 
 # demo.launch()
 
-def generate_mutimodal(title, context, img):
-    return f"Title:{title}\nContext:{context}\n...{img}"
+# def generate_mutimodal(title, context, img):
+#     return f"Title:{title}\nContext:{context}\n...{img}"
+
+# server = gr.Interface(
+#     fn=generate_mutimodal, 
+#     inputs=[
+#         gr.Textbox(lines=1, placeholder="请输入标题"),
+#         gr.Textbox(lines=2, placeholder="请输入正文"),
+#         gr.Image(shape=(200, 200),  label="请上传图片(可选)")
+#     ], 
+#     outputs="text"
+# )
+
+# server.launch()
 
-server = gr.Interface(
-    fn=generate_mutimodal, 
-    inputs=[
-        gr.Textbox(lines=1, placeholder="请输入标题"),
-        gr.Textbox(lines=2, placeholder="请输入正文"),
-        gr.Image(shape=(200, 200),  label="请上传图片(可选)")
-    ], 
-    outputs="text"
-)
+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(shape=(200, 200)), "image")
+demo.launch()
 
-server.launch()