initial commit

app.py

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+import gradio as gr
+import numpy as np
+import librosa
+
+
+
+def analyze(audio:gr.Audio):
+    # Extract audio data and sample rate
+    sr, audio_data = audio
+
+    # Ensure audio_data is a numpy array
+    if not isinstance(audio_data, np.ndarray):
+        audio_data = np.array(audio_data)
+
+    # Check if audio is mono or stereo
+    if len(audio_data.shape) > 1:
+        # If stereo, convert to mono by averaging channels
+        audio_data = np.mean(audio_data, axis=1)
+
+    audio_data = np.astype(audio_data, np.float16)
+
+    # Now you have:
+    # - audio_data: a 1D numpy array containing the audio samples
+    # - sr: the sample rate of the audio
+
+    # Your analysis code goes here
+    # For example, you could print basic information:
+    print(f"Audio length: {len(audio_data) / sr:.2f} seconds")
+    print(f"Sample rate: {sr} Hz")
+
+    zcr = librosa.feature.zero_crossing_rate(audio_data)[0]
+    print(f"Mean Zero Crossing Rate: {np.mean(zcr):.4f}")
+
+    # Calculate RMS Energy
+    rms = librosa.feature.rms(y=audio_data)[0]
+    print(f"Mean RMS Energy: {np.mean(rms):.4f}")
+
+    # Return your analysis results
+
+    results = f"""
+    - Audio length: {len(audio_data) / sr:.2f} seconds
+    - Sample rate: {sr} Hz
+    - Mean Zero Crossing Rate: {np.mean(zcr):.4f}
+    - Mean RMS Energy: {np.mean(rms):.4f}
+    """
+    return results
+
+
+
+with gr.Blocks() as app:
+
+    gr.Markdown("🚨 This Project is still in works")
+
+    gr.Markdown("# Heartbeat")
+    gr.Markdown("This App helps to analyze and extract Information from Heartbeats")
+    gr.Markdown("""
+    - Beat (mean)
+    - normalised
+    - mean - herzschlag
+    - mean - herzschlag (synthesised) - Bild (Wave & Spectogram)
+    - S1, S2 - mean
+    - FFT & Mel Spectogram
+    - Plot of Wave & Spectogram (Beats annotated)
+    """)
+
+    audiofile = gr.Audio(
+        label="Audio of a Heartbeat",
+        sources="upload")
+    
+    analyzebtn = gr.Button("analyze")
+
+    results = gr.Markdown()
+
+    analyzebtn.click(analyze, audiofile, results)
+
+
+
+
+if __name__ == "__main__":
+    app.launch()

requirements.txt

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+# This file may be used to create an environment using:
+# $ conda create --name <env> --file <this file>
+# platform: osx-arm64
+@EXPLICIT
+https://repo.anaconda.com/pkgs/main/osx-arm64/bzip2-1.0.8-h80987f9_6.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/ca-certificates-2024.7.2-hca03da5_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/libcxx-14.0.6-h848a8c0_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/libffi-3.4.4-hca03da5_1.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/ncurses-6.4-h313beb8_0.conda
+https://repo.anaconda.com/pkgs/main/noarch/tzdata-2024a-h04d1e81_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/xz-5.4.6-h80987f9_1.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/zlib-1.2.13-h18a0788_1.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/expat-2.6.3-h313beb8_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/openssl-3.0.15-h80987f9_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/readline-8.2-h1a28f6b_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/tk-8.6.14-h6ba3021_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/sqlite-3.45.3-h80987f9_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/python-3.12.3-h99e199e_1.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/setuptools-72.1.0-py312hca03da5_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/wheel-0.44.0-py312hca03da5_0.conda
+https://repo.anaconda.com/pkgs/main/osx-arm64/pip-24.2-py312hca03da5_0.conda