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updated readme

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Ali Abid 2021-02-26 10:57:52 -08:00
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@ -170,9 +170,11 @@ For example, with the calculator interface shown above, we would have the flagge
``` ```
*flagged/logs.csv* *flagged/logs.csv*
```
num1,operation,num2,Output num1,operation,num2,Output
5,add,7,12 5,add,7,12
6,subtract,1.5,4.5 6,subtract,1.5,4.5
```
With the sepia interface shown above, we would have the flagged data stored in the flagged directory shown below: With the sepia interface shown above, we would have the flagged data stored in the flagged directory shown below:
@ -188,10 +190,12 @@ With the sepia interface shown above, we would have the flagged data stored in t
| | +-- 1.png | | +-- 1.png
``` ```
*flagged/logs.csv* *flagged/logs.csv*:
```
im,Output im,Output
im/0.png,Output/0.png im/0.png,Output/0.png
im/1.png,Output/1.png im/1.png,Output/1.png
```
You can review these flagged inputs by manually exploring the flagging directory, or load them into the examples of the Gradio interface by pointing the `examples=` argument to the flagged directory. If you wish for the user to provide a reason for flagging, you can pass a list of strings to the `flagging_options` argument of Interface. Users will have to select one of the strings when flagging, which will be saved as an additional column to the CSV. You can review these flagged inputs by manually exploring the flagging directory, or load them into the examples of the Gradio interface by pointing the `examples=` argument to the flagged directory. If you wish for the user to provide a reason for flagging, you can pass a list of strings to the `flagging_options` argument of Interface. Users will have to select one of the strings when flagging, which will be saved as an additional column to the CSV.