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Update app.py
Browse files
app.py
CHANGED
@@ -2,80 +2,37 @@ import os
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import warnings
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import gradio as gr
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import re
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hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "save_audio")
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cur_line=-1
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def readFile():
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f=open('prompt.txt')
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line_num=0
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lines=f.readlines()
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line_num = len(lines)
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return line_num,lines
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totlines,file_content=readFile()
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#callback = gr.CSVLogger()
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def recordAndsave(text,audio):
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#print (next)
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print (text)
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global totlines
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print(totlines)
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global cur_line
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if cur_line<totlines-1:
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cur_line+=1
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global file_content
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print (cur_line)
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return file_content[cur_line].strip()
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#return None
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#print (previous)
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cur_line+=1
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global file_content
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print (cur_line)
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return file_content[cur_line]
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def readNext():
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global totlines
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print(totlines)
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global cur_line
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if cur_line<totlines-1:
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cur_line+=1
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global file_content
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print (cur_line)
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return [file_content[cur_line],None]
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def readPrevious():
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global cur_line
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if cur_line>=0:
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cur_line-=1
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#cur_line=current_line
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global file_content
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print (cur_line)
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return [file_content[cur_line],None]
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demo=gr.Interface(
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fn=recordAndsave,
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inputs=[
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gr.Audio(sources=["microphone","upload"], type="filepath"),
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],
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outputs=[
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gr.Textbox(readPromt(),label="Prompt")
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],
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allow_flagging="manual",
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flagging_callback=hf_writer
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).launch()
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import warnings
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import gradio as gr
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import re
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import numpy as np
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#HF_TOKEN = os.getenv('HW_TOKEN')
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#hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "save_audio")
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def sepia(input_img, strength):
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sepia_filter = strength * np.array(
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[[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]]
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) + (1-strength) * np.identity(3)
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sepia_img = input_img.dot(sepia_filter.T)
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sepia_img /= sepia_img.max()
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return sepia_img
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callback = gr.CSVLogger()
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with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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img_input = gr.Image()
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strength = gr.Slider(0, 1, 0.5)
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img_output = gr.Image()
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with gr.Row():
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btn = gr.Button("Flag")
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# This needs to be called at some point prior to the first call to callback.flag()
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callback.setup([img_input, strength, img_output], "flagged_data_points")
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img_input.change(sepia, [img_input, strength], img_output)
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strength.change(sepia, [img_input, strength], img_output)
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# We can choose which components to flag -- in this case, we'll flag all of them
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btn.click(lambda *args: callback.flag(args), [img_input, strength, img_output], None, preprocess=False)
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demo.launch()
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