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Update app.py
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app.py
CHANGED
@@ -1,76 +1,29 @@
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import os
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import gradio as gr
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HF_TOKEN = os.getenv('HW_TOKEN')
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#print (HF_TOKEN)
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hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "save_audio")
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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.Blocks()
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with demo:
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#dr=gr.Dropdown(["Hindi","Odiya"],value="Odiya",label="Select Language")
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#audio_file = gr.Audio(sources=["microphone","upload"],type="filepath")
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text = gr.Textbox(readPromt())
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#allow_flagging="manual",
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#flagging_callback=hf_writer
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upfile = gr.Audio(
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sources=["microphone","upload"], type="filepath", label="Record"
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)
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#upfile = gr.inputs.Audio(source="upload", type="filepath", label="Upload")
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with gr.Row():
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b1 = gr.Button("Save")
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b2 = gr.Button("Next")
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b3 = gr.Button("Previous")
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#b4=gr.Button("Clear")
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b2.click(readNext,inputs=None,outputs=[text,upfile])
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b3.click(readPrevious,inputs=None,outputs=[text,upfile])
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#b4.click(lambda: None, outputs=upfile)
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# b1.click(sel_lng, inputs=[dr,mic,upfile], outputs=text)
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#b2.click(text_to_sentiment, inputs=text, outputs=label)
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#callback.setup([text, upfile], "flagged_data_points")
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#callback.setup([text, upfile], hf_writer)
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#b1.click(lambda *args: callback.flag(args), [text, upfile], None, preprocess=False)
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#flagging_callback=hf_writer
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b1.click(lambda *args: hf_writer, [text, upfile], None, preprocess=False)
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demo.launch()
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import os
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import gradio as gr
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HF_TOKEN = os.getenv('HW_TOKEN')
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#print (HF_TOKEN)
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hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "save_audio")
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def calculator(num1, operation, num2):
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if operation == "add":
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return num1 + num2
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elif operation == "subtract":
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return num1 - num2
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elif operation == "multiply":
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return num1 * num2
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elif operation == "divide":
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return num1 / num2
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iface = gr.Interface(
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calculator,
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["number", gr.Radio(["add", "subtract", "multiply", "divide"]), "number"],
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"number",
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#description="Check out the crowd-sourced dataset at: [https://huggingface.co/datasets/aliabd/crowdsourced-calculator-demo](https://huggingface.co/datasets/aliabd/crowdsourced-calculator-demo)",
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allow_flagging="manual",
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flagging_options=["wrong sign", "off by one", "other"],
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flagging_callback=hf_writer
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)
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iface.launch()
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