Create app.py
Browse files
app.py
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import gradio as gr
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import numpy as np
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import time
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from scipy.io import wavfile
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import io
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# Morse code dictionary (ITU standard)
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MORSE_CODE_DICT = {
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'A': '.-', 'B': '-...', 'C': '-.-.', 'D': '-..', 'E': '.', 'F': '..-.',
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'G': '--.', 'H': '....', 'I': '..', 'J': '.---', 'K': '-.-', 'L': '.-..',
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'M': '--', 'N': '-.', 'O': '---', 'P': '.--.', 'Q': '--.-', 'R': '.-.',
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'S': '...', 'T': '-', 'U': '..-', 'V': '...-', 'W': '.--', 'X': '-..-',
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'Y': '-.--', 'Z': '--..', '1': '.----', '2': '..---', '3': '...--',
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'4': '....-', '5': '.....', '6': '-....', '7': '--...', '8': '---..',
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'9': '----.', '0': '-----', ' ': ' '
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}
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# Reverse dictionary for decoding
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MORSE_TO_CHAR = {v: k for k, v in MORSE_CODE_DICT.items()}
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# Function to process audio and detect Morse code (simplified)
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def decode_morse_from_audio(audio_data):
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if audio_data is None:
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return "", ""
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# Audio comes as (sample_rate, data) from Gradio
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sample_rate, data = audio_data
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if len(data.shape) > 1: # Convert stereo to mono if needed
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data = data.mean(axis=1)
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# Normalize audio data
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data = data / np.max(np.abs(data))
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# Threshold for detecting signal (tweak as needed)
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threshold = 0.1
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signal = data > threshold
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# Timing parameters (in samples, adjust based on sample_rate)
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dit_length = int(sample_rate * 0.1) # 100ms for a dit
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dah_length = dit_length * 3 # 300ms for a dah
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space_length = dit_length * 7 # 700ms for word space
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morse_code = ""
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decoded_text = ""
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i = 0
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while i < len(signal) - dit_length:
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if signal[i]:
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# Measure signal duration
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start = i
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while i < len(signal) and signal[i]:
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i += 1
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duration = i - start
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# Classify as dit or dah
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if duration >= dah_length:
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morse_code += "-"
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elif duration >= dit_length:
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morse_code += "."
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# Check for spaces (pauses)
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else:
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start = i
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while i < len(signal) and not signal[i]:
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i += 1
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pause = i - start
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if pause >= space_length:
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if morse_code:
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decoded_text += MORSE_TO_CHAR.get(morse_code, "?")
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decoded_text += " "
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morse_code = ""
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elif pause >= dit_length and morse_code:
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decoded_text += MORSE_TO_CHAR.get(morse_code, "?")
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morse_code = ""
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i += 1
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# Handle any remaining code
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if morse_code:
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decoded_text += MORSE_TO_CHAR.get(morse_code, "?")
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return morse_code, decoded_text.strip()
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# Function to generate highlighted alphabet UI
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def generate_alphabet_html(decoded_text):
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html = "<div style='font-family: monospace; font-size: 16px;'>"
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for char in MORSE_CODE_DICT.keys():
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color = "red" if char in decoded_text.upper() else "black"
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html += f"<span style='color: {color}; margin: 5px;'>{char}: {MORSE_CODE_DICT[char]}</span>"
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if char in "AEIMQUZ":
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html += "<br>"
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html += "</div>"
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return html
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# Gradio streaming function
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def stream_morse_decoder(audio):
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morse, text = decode_morse_from_audio(audio)
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alphabet_html = generate_alphabet_html(text)
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return morse, text, alphabet_html
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# Gradio UI with Blocks
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with gr.Blocks(title="Morse Code Decoder") as demo:
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gr.Markdown("# Morse Code Decoder")
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gr.Markdown("Speak or play Morse code into your microphone to decode it live!")
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with gr.Row():
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audio_input = gr.Audio(source="microphone", type="numpy", streaming=True, label="Live Audio Input")
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with gr.Row():
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with gr.Column():
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morse_output = gr.Textbox(label="Detected Morse Code", interactive=False)
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text_output = gr.Textbox(label="Decoded Text", interactive=False)
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with gr.Column():
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alphabet_display = gr.HTML(label="Morse Alphabet (Highlighted)")
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# Event listener for streaming audio
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audio_input.stream(
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fn=stream_morse_decoder,
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inputs=[audio_input],
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outputs=[morse_output, text_output, alphabet_display],
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_js="() => { return [navigator.mediaDevices.getUserMedia({ audio: true })];"
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)
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# Launch the app
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demo.launch()
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