up 1

app.py

@@ -23,8 +23,8 @@ def predict(input_img1,
             ):
 
     print("predict")
-    input_img1 = Image.fromarray(input_img1)
-    input_img2 = Image.fromarray(input_img2)
+    # input_img1 = Image.fromarray(input_img1)
+    # input_img2 = Image.fromarray(input_img2)
 
     input_img1 = input_img1.resize((WIDTH, HEIGHT))
     input_img2 = input_img2.resize((WIDTH, WIDTH))
@@ -32,31 +32,32 @@ def predict(input_img1,
     canvas_mask = np.array(input_img2)
     mask = get_mask(canvas_mask)
 
-    print(input_img1, mask)
+    print(input_img1, mask,positive_prompt,negative_prompt)
 
-    result_image = make_inpainting(positive_prompt=positive_prompt,
+    result_image = make_inpainting(positive_prompt="empty room",
                                    image=input_img1,
                                    mask_image=mask,
-                                   negative_prompt=negative_prompt,
+                                   negative_prompt="",
                                    )
 
     return result_image
 
-def test1(param1):
-    return  "here !"
 
-gr.Interface(
+app = gr.Interface(
     predict,
-    inputs=[gr.Image(label="img", sources=['upload', 'webcam'], type="numpy"),
-            gr.Image(label="mask", sources=['upload', 'webcam'], type="numpy"),
-            gr.Textbox(label="positive_prompt"),
-            gr.Textbox(label="negative_prompt")
+    inputs=[gr.Image(label="img", sources=['upload'], type="pil"),
+            gr.Image(label="mask", sources=['upload'], type="pil")
             ],
     outputs= gr.Image(label="resp"),
     title="rem fur 1",
-).launch(share=True)
-#
+)
+
+app.launch(share=True)
+
 #
+#  gr.Textbox(label="positive_prompt"),
+#  gr.Textbox(label="negative_prompt")
+
 # gr.Interface(
 #     test1,
 #     inputs=[gr.Textbox(label="param1")],