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Update app.py
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app.py
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import gradio as gr
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import os
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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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import gradio as gr
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import os
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class TextFileReader:
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reader = TextFileReader()
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# Define a function to save the text lines to a file
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def save_text_lines(file):
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# Define a function to save the audio file and corresponding text
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def save_audio_text(audio, text):
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# Define the Gradio interface
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with gr.Blocks() as demo:
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save_button.click(fn=save_audio_text, inputs=[audio_record, current_line], outputs=current_line)
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# import gradio as gr
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# import os
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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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# import gradio as gr
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# import os
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# class TextFileReader:
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# def __init__(self):
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# self.lines = []
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# self.current_index = 0
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# def read_lines(self, file):
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# self.lines = file.decode('utf-8').splitlines()
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# self.current_index = 0
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# return self.get_current_line()
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# def get_current_line(self):
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# if 0 <= self.current_index < len(self.lines):
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# return self.lines[self.current_index]
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# else:
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# return "End of file reached."
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# def forward_line(self):
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# self.current_index = min(self.current_index + 1, len(self.lines) - 1)
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# return self.get_current_line()
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# def backward_line(self):
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# self.current_index = max(self.current_index - 1, 0)
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# return self.get_current_line()
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# reader = TextFileReader()
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# # Define a function to save the text lines to a file
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# def save_text_lines(file):
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# lines = reader.read_lines(file)
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# with open("text_lines.txt", "w") as f:
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# f.write("\n".join(reader.lines))
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# return lines
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# # Define a function to save the audio file and corresponding text
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# def save_audio_text(audio, text):
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# if not os.path.exists("recordings"):
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# os.makedirs("/recordings")
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# # Debugging to print out the structure of the audio variable
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# print("Received audio data:", audio)
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# # Check if audio is a dictionary and contains 'data'
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# if isinstance(audio, dict) and 'data' in audio:
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# audio_data = audio['data']
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# audio_path = f"/recordings/line_{reader.current_index}.wav"
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# text_path = f"/recordings/line_{reader.current_index}.txt"
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# with open(audio_path, "wb") as f:
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# f.write(audio_data)
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# with open(text_path, "w") as f:
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# f.write(text)
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# # Move to the next line after saving
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# next_line = reader.forward_line()
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# return next_line
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# else:
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# return "Audio data is not in the expected format."
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# # Define the Gradio interface
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# with gr.Blocks() as demo:
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# with gr.Row():
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# file_upload = gr.File(label="Upload a text file", type="binary")
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# generate_button = gr.Button("Generate Lines")
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# current_line = gr.Textbox(label="Current Line")
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# def update_output(file):
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# lines = reader.read_lines(file)
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# save_text_lines(file) # Save the text lines to a file
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# return lines
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# generate_button.click(fn=update_output, inputs=file_upload, outputs=current_line)
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# with gr.Row():
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# audio_record = gr.Audio(sources=["microphone","upload"], type="filepath")
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# save_button = gr.Button("Save Audio and Next Line")
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# save_button.click(fn=save_audio_text, inputs=[audio_record, current_line], outputs=current_line)
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# demo.launch()
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import gradio as gr
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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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allow_flagging="manual"
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)
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iface.launch()
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