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4d31d09
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Parent(s):
32fd3d1
model loading check
Browse files- app.py +7 -105
- requirements.txt +371 -38
app.py
CHANGED
@@ -1,121 +1,23 @@
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"""
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Streamlit application for real-time gender detection from audio input.
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Uses wav2vec2 model to analyze voice and predict speaker gender.
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"""
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import streamlit as st
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import pyaudio
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import numpy as np
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import torch
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from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
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import
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# Configure logging
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logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
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# Define audio stream parameters
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FORMAT = pyaudio.paInt16 # 16-bit resolution
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CHANNELS = 1 # Mono audio
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RATE = 16000 # 16kHz sampling rate
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CHUNK = 1024 # Number of frames per buffer
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@st.cache_resource
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def load_model():
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"""
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Load the wav2vec2 model and feature extractor for gender recognition.
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Returns:
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tuple: A tuple containing the feature extractor and the model.
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"""
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model_path = "alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech"
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# model_path = "./local-model"
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feature_extractor = AutoFeatureExtractor.from_pretrained(model_path)
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model = AutoModelForAudioClassification.from_pretrained(model_path)
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model.eval()
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logging.info("Model loaded successfully.")
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return feature_extractor, model
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st.
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st.session_state['listening'] = False
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if 'prediction' not in st.session_state:
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st.session_state['prediction'] = ""
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# Function to stop listening
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def stop_listening():
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"""Stop the audio stream and update session state to stop listening."""
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if 'stream' in st.session_state:
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logging.info("Stopping stream")
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st.session_state['stream'].stop_stream()
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st.session_state['stream'].close()
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if 'audio' in st.session_state:
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logging.info("Stopping audio")
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st.session_state['audio'].terminate()
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st.session_state['listening'] = False
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st.session_state['prediction'] = "Stopped listening, click 'Start Listening' to start again."
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st.rerun()
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def start_listening():
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"""Start the audio stream and continuously process audio for gender detection."""
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placeholder = st.empty()
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try:
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placeholder.write("Loading model...")
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feature_extractor, model = load_model()
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audio = pyaudio.PyAudio()
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stream = audio.open(format=FORMAT,
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channels=CHANNELS,
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rate=RATE,
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input=True,
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frames_per_buffer=CHUNK)
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st.session_state['stream'] = stream
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st.session_state['audio'] = audio
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st.session_state['listening'] = True
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st.session_state['prediction'] = "Listening........................"
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placeholder.write("Listening for audio...")
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while st.session_state['listening']:
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audio_data = np.array([], dtype=np.float32)
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for _ in range(int(RATE / CHUNK * 1.5)):
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# Read audio chunk from the stream
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data = stream.read(CHUNK, exception_on_overflow=False)
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# Convert byte data to numpy array and normalize
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chunk_data = np.frombuffer(data, dtype=np.int16).astype(np.float32) / 32768.0
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audio_data = np.concatenate((audio_data, chunk_data))
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# Check if there is significant sound
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if np.max(np.abs(audio_data)) > 0.05: # Threshold for detecting sound
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# Process the audio data
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inputs = feature_extractor(audio_data, sampling_rate=RATE, return_tensors="pt", padding=True)
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# Perform inference
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with torch.no_grad():
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logits = model(**inputs).logits
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predicted_ids = torch.argmax(logits, dim=-1)
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# Map predicted IDs to labels
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predicted_label = model.config.id2label[predicted_ids.item()]
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if predicted_label != st.session_state['prediction']:
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st.session_state['prediction'] = predicted_label
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# st.write(f"Detected Gender: {predicted_label}")
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placeholder.write(f"Detected Gender: {predicted_label}")
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else:
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st.session_state['prediction'] = "---- No significant sound detected, skipping prediction. ----"
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placeholder.empty()
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placeholder.empty()
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except Exception as e:
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logging.error(f"An error occurred: {e}")
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st.error(f"An error occurred: {e}")
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stop_listening()
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# Buttons to start and stop listening
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col1, col2 = st.columns(2)
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with col1:
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if st.button("Start Listening"):
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start_listening()
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with col2:
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if st.button("Stop Listening"):
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stop_listening()
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import streamlit as st
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import numpy as np
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import torch
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from transformers import AutoFeatureExtractor, AutoModelForAudioClassification
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from streamlit_webrtc import webrtc_streamer, AudioProcessorBase, WebRtcMode
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import av
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# Load Model and Feature Extractor
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@st.cache_resource
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def load_model():
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"""
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Load the wav2vec2 model and feature extractor for gender recognition.
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"""
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model_path = "alefiury/wav2vec2-large-xlsr-53-gender-recognition-librispeech"
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feature_extractor = AutoFeatureExtractor.from_pretrained(model_path)
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model = AutoModelForAudioClassification.from_pretrained(model_path)
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model.eval()
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return feature_extractor, model
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placeholder = st.empty()
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placeholder.text("Loading model...")
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feature_extractor, model = load_model()
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placeholder.text("Model loaded!")
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requirements.txt
CHANGED
@@ -1,66 +1,399 @@
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aioice==0.9.0
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aiortc==1.10.1
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altair==5.5.0
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av==13.1.0
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blinker==1.9.0
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cachetools==5.5.1
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certifi==
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cffi==1.
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12 |
cryptography==44.0.1
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13 |
dnspython==2.7.0
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16 |
gitdb==4.0.12
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GitPython==3.1.44
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google-crc32c==1.6.0
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ifaddr==0.2.0
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mpmath==1.3.0
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narwhals==1.26.0
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packaging==24.2
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pandas==2.
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protobuf==5.29.3
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pydeck==0.9.1
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pyee==12.1.1
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pylibsrtp==0.11.0
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pyOpenSSL==25.0.0
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rich==13.9.4
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smmap==5.0.2
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streamlit==1.42.0
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streamlit-webrtc==0.47.9
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sympy==1.13.1
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toml==0.10.2
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torch==2.6.0
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tornado==6.
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tqdm==4.
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typing_extensions==4.12.2
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tzdata==
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aiobotocore==2.5.0
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aiofiles==22.1.0
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3 |
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aiohttp==3.8.5
|
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aioice==0.9.0
|
5 |
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aioitertools==0.7.1
|
6 |
aiortc==1.10.1
|
7 |
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aiosignal==1.2.0
|
8 |
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aiosqlite==0.18.0
|
9 |
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alabaster==0.7.12
|
10 |
altair==5.5.0
|
11 |
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anaconda-anon-usage==0.4.2
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12 |
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anaconda-catalogs==0.2.0
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13 |
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anaconda-client==1.12.1
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14 |
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anaconda-cloud-auth==0.1.3
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15 |
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anaconda-navigator==2.5.0
|
16 |
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anaconda-project==0.11.1
|
17 |
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annotated-types==0.7.0
|
18 |
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anyio==3.5.0
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appdirs==1.4.4
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applaunchservices==0.3.0
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21 |
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appnope==0.1.2
|
22 |
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appscript==1.1.2
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23 |
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argon2-cffi==21.3.0
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24 |
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argon2-cffi-bindings==21.2.0
|
25 |
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arrow==1.2.3
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26 |
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astroid==2.14.2
|
27 |
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astropy==5.1
|
28 |
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asttokens==2.0.5
|
29 |
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async-timeout==4.0.2
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30 |
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atomicwrites==1.4.0
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31 |
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attrs==22.1.0
|
32 |
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Automat==20.2.0
|
33 |
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autopep8==1.6.0
|
34 |
av==13.1.0
|
35 |
+
Babel==2.11.0
|
36 |
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backcall==0.2.0
|
37 |
+
backports.functools-lru-cache==1.6.4
|
38 |
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backports.tempfile==1.0
|
39 |
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backports.weakref==1.0.post1
|
40 |
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bcrypt==3.2.0
|
41 |
+
beautifulsoup4==4.12.2
|
42 |
+
binaryornot==0.4.4
|
43 |
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black==0.0
|
44 |
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bleach==4.1.0
|
45 |
blinker==1.9.0
|
46 |
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bokeh==3.2.1
|
47 |
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boltons==23.0.0
|
48 |
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botocore==1.29.76
|
49 |
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Bottleneck==1.3.5
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50 |
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brotlipy==0.7.0
|
51 |
cachetools==5.5.1
|
52 |
+
certifi==2023.7.22
|
53 |
+
cffi==1.15.1
|
54 |
+
chardet==4.0.0
|
55 |
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charset-normalizer==2.0.4
|
56 |
+
click==8.0.4
|
57 |
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cloudpickle==2.2.1
|
58 |
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clyent==1.2.2
|
59 |
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colorama==0.4.6
|
60 |
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colorcet==3.0.1
|
61 |
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comm==0.1.2
|
62 |
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conda==23.7.4
|
63 |
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conda-build==3.26.1
|
64 |
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conda-content-trust==0.2.0
|
65 |
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conda_index==0.3.0
|
66 |
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conda-libmamba-solver==23.7.0
|
67 |
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conda-pack==0.6.0
|
68 |
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conda-package-handling==2.2.0
|
69 |
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conda_package_streaming==0.9.0
|
70 |
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conda-repo-cli==1.0.75
|
71 |
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conda-token==0.4.0
|
72 |
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conda-verify==3.4.2
|
73 |
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constantly==15.1.0
|
74 |
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contourpy==1.0.5
|
75 |
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cookiecutter==1.7.3
|
76 |
cryptography==44.0.1
|
77 |
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cssselect==1.1.0
|
78 |
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cycler==0.11.0
|
79 |
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cytoolz==0.12.0
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80 |
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dask==2023.6.0
|
81 |
+
datasets==2.12.0
|
82 |
+
datashader==0.15.2
|
83 |
+
datashape==0.5.4
|
84 |
+
debugpy==1.6.7
|
85 |
+
decorator==5.1.1
|
86 |
+
defusedxml==0.7.1
|
87 |
+
diff-match-patch==20200713
|
88 |
+
dill==0.3.6
|
89 |
+
distributed==2023.6.0
|
90 |
+
distro==1.9.0
|
91 |
dnspython==2.7.0
|
92 |
+
docstring-to-markdown==0.11
|
93 |
+
docutils==0.18.1
|
94 |
+
entrypoints==0.4
|
95 |
+
et-xmlfile==1.1.0
|
96 |
+
executing==0.8.3
|
97 |
+
fastjsonschema==2.16.2
|
98 |
+
filelock==3.9.0
|
99 |
+
flake8==6.0.0
|
100 |
+
Flask==2.2.2
|
101 |
+
fonttools==4.25.0
|
102 |
+
frozenlist==1.3.3
|
103 |
+
fsspec==2023.4.0
|
104 |
+
future==0.18.3
|
105 |
+
gensim==4.3.0
|
106 |
gitdb==4.0.12
|
107 |
GitPython==3.1.44
|
108 |
+
glob2==0.7
|
109 |
+
gmpy2==2.1.2
|
110 |
google-crc32c==1.6.0
|
111 |
+
greenlet==2.0.1
|
112 |
+
h11==0.14.0
|
113 |
+
h5py==3.9.0
|
114 |
+
HeapDict==1.0.1
|
115 |
+
holoviews==1.17.1
|
116 |
+
httpcore==1.0.7
|
117 |
+
httpx==0.28.0
|
118 |
+
huggingface-hub==0.15.1
|
119 |
+
hvplot==0.8.4
|
120 |
+
hyperlink==21.0.0
|
121 |
+
idna==3.4
|
122 |
ifaddr==0.2.0
|
123 |
+
imagecodecs==2023.1.23
|
124 |
+
imageio==2.31.1
|
125 |
+
imagesize==1.4.1
|
126 |
+
imbalanced-learn==0.10.1
|
127 |
+
importlib-metadata==6.0.0
|
128 |
+
incremental==21.3.0
|
129 |
+
inflection==0.5.1
|
130 |
+
iniconfig==1.1.1
|
131 |
+
intake==0.6.8
|
132 |
+
intervaltree==3.1.0
|
133 |
+
ipykernel==6.25.0
|
134 |
+
ipython==8.15.0
|
135 |
+
ipython-genutils==0.2.0
|
136 |
+
ipywidgets==8.0.4
|
137 |
+
isort==5.9.3
|
138 |
+
itemadapter==0.3.0
|
139 |
+
itemloaders==1.0.4
|
140 |
+
itsdangerous==2.0.1
|
141 |
+
jaraco.classes==3.2.1
|
142 |
+
jedi==0.18.1
|
143 |
+
jellyfish==1.0.1
|
144 |
+
Jinja2==3.1.2
|
145 |
+
jinja2-time==0.2.0
|
146 |
+
jiter==0.8.0
|
147 |
+
jmespath==0.10.0
|
148 |
+
joblib==1.2.0
|
149 |
+
json5==0.9.6
|
150 |
+
jsonpatch==1.33
|
151 |
+
jsonpointer==2.1
|
152 |
+
jsonschema==4.17.3
|
153 |
+
jupyter==1.0.0
|
154 |
+
jupyter_client==7.4.9
|
155 |
+
jupyter-console==6.6.3
|
156 |
+
jupyter_core==5.3.0
|
157 |
+
jupyter-events==0.6.3
|
158 |
+
jupyter-server==1.23.4
|
159 |
+
jupyter_server_fileid==0.9.0
|
160 |
+
jupyter_server_ydoc==0.8.0
|
161 |
+
jupyter-ydoc==0.2.4
|
162 |
+
jupyterlab==3.6.3
|
163 |
+
jupyterlab-pygments==0.1.2
|
164 |
+
jupyterlab_server==2.22.0
|
165 |
+
jupyterlab-widgets==3.0.5
|
166 |
+
kaleido==0.2.1
|
167 |
+
keyring==23.13.1
|
168 |
+
kiwisolver==1.4.4
|
169 |
+
langchain==0.3.9
|
170 |
+
langchain-core==0.3.21
|
171 |
+
langchain-text-splitters==0.3.2
|
172 |
+
langsmith==0.1.147
|
173 |
+
lazy_loader==0.2
|
174 |
+
lazy-object-proxy==1.6.0
|
175 |
+
libarchive-c==2.9
|
176 |
+
libmambapy==1.5.1
|
177 |
+
linkify-it-py==2.0.0
|
178 |
+
llvmlite==0.40.0
|
179 |
+
lmdb==1.4.1
|
180 |
+
locket==1.0.0
|
181 |
+
lxml==4.9.3
|
182 |
+
lz4==4.3.2
|
183 |
+
Markdown==3.4.1
|
184 |
+
markdown-it-py==2.2.0
|
185 |
+
MarkupSafe==2.1.1
|
186 |
+
matplotlib==3.7.2
|
187 |
+
matplotlib-inline==0.1.6
|
188 |
+
mccabe==0.7.0
|
189 |
+
mdit-py-plugins==0.3.0
|
190 |
+
mdurl==0.1.0
|
191 |
+
mistune==0.8.4
|
192 |
+
more-itertools==8.12.0
|
193 |
mpmath==1.3.0
|
194 |
+
msgpack==1.0.3
|
195 |
+
multidict==6.0.2
|
196 |
+
multipledispatch==0.6.0
|
197 |
+
multiprocess==0.70.14
|
198 |
+
munkres==1.1.4
|
199 |
+
mypy-extensions==1.0.0
|
200 |
narwhals==1.26.0
|
201 |
+
navigator-updater==0.4.0
|
202 |
+
nbclassic==0.5.5
|
203 |
+
nbclient==0.5.13
|
204 |
+
nbconvert==6.5.4
|
205 |
+
nbformat==5.9.2
|
206 |
+
nest-asyncio==1.5.6
|
207 |
+
networkx==3.1
|
208 |
+
nltk==3.8.1
|
209 |
+
notebook==6.5.4
|
210 |
+
notebook_shim==0.2.2
|
211 |
+
numba==0.57.1
|
212 |
+
numexpr==2.8.4
|
213 |
+
numpy==1.24.3
|
214 |
+
numpydoc==1.5.0
|
215 |
+
openai==1.55.3
|
216 |
+
openpyxl==3.0.10
|
217 |
+
orjson==3.10.12
|
218 |
packaging==24.2
|
219 |
+
pandas==2.0.3
|
220 |
+
pandocfilters==1.5.0
|
221 |
+
panel==1.2.3
|
222 |
+
param==1.13.0
|
223 |
+
parsel==1.6.0
|
224 |
+
parso==0.8.3
|
225 |
+
partd==1.4.0
|
226 |
+
pathlib==1.0.1
|
227 |
+
pathspec==0.10.3
|
228 |
+
patsy==0.5.3
|
229 |
+
pep8==1.7.1
|
230 |
+
pexpect==4.8.0
|
231 |
+
pickleshare==0.7.5
|
232 |
+
Pillow==9.4.0
|
233 |
+
pip==23.2.1
|
234 |
+
pkce==1.0.3
|
235 |
+
pkginfo==1.9.6
|
236 |
+
platformdirs==3.10.0
|
237 |
+
plotly==5.9.0
|
238 |
+
pluggy==1.0.0
|
239 |
+
ply==3.11
|
240 |
+
poyo==0.5.0
|
241 |
+
prometheus-client==0.14.1
|
242 |
+
prompt-toolkit==3.0.36
|
243 |
+
Protego==0.1.16
|
244 |
protobuf==5.29.3
|
245 |
+
psutil==5.9.0
|
246 |
+
psycopg2==2.9.9
|
247 |
+
ptyprocess==0.7.0
|
248 |
+
pure-eval==0.2.2
|
249 |
+
py-cpuinfo==8.0.0
|
250 |
+
pyarrow==11.0.0
|
251 |
+
pyasn1==0.4.8
|
252 |
+
pyasn1-modules==0.2.8
|
253 |
+
PyAudio==0.2.14
|
254 |
+
pycodestyle==2.10.0
|
255 |
+
pycosat==0.6.4
|
256 |
+
pycparser==2.21
|
257 |
+
pyct==0.5.0
|
258 |
+
pycurl==7.45.2
|
259 |
+
pydantic==2.10.2
|
260 |
+
pydantic_core==2.27.1
|
261 |
pydeck==0.9.1
|
262 |
+
PyDispatcher==2.0.5
|
263 |
+
pydocstyle==6.3.0
|
264 |
pyee==12.1.1
|
265 |
+
pyerfa==2.0.0
|
266 |
+
pyflakes==3.0.1
|
267 |
+
Pygments==2.15.1
|
268 |
+
PyJWT==2.4.0
|
269 |
pylibsrtp==0.11.0
|
270 |
+
pylint==2.16.2
|
271 |
+
pylint-venv==2.3.0
|
272 |
+
pyls-spyder==0.4.0
|
273 |
+
pyobjc-core==9.0
|
274 |
+
pyobjc-framework-Cocoa==9.0
|
275 |
+
pyobjc-framework-CoreServices==9.0
|
276 |
+
pyobjc-framework-FSEvents==9.0
|
277 |
+
pyodbc==4.0.34
|
278 |
pyOpenSSL==25.0.0
|
279 |
+
pyparsing==3.0.9
|
280 |
+
PyQt5-sip==12.11.0
|
281 |
+
pyrsistent==0.18.0
|
282 |
+
PySocks==1.7.1
|
283 |
+
pytest==7.4.0
|
284 |
+
python-dateutil==2.8.2
|
285 |
+
python-dotenv==0.21.0
|
286 |
+
python-json-logger==2.0.7
|
287 |
+
python-lsp-black==1.2.1
|
288 |
+
python-lsp-jsonrpc==1.0.0
|
289 |
+
python-lsp-server==1.7.2
|
290 |
+
python-slugify==5.0.2
|
291 |
+
python-snappy==0.6.1
|
292 |
+
pytoolconfig==1.2.5
|
293 |
+
pytz==2023.3.post1
|
294 |
+
pyviz-comms==2.3.0
|
295 |
+
PyWavelets==1.4.1
|
296 |
+
PyYAML==6.0
|
297 |
+
pyzmq==23.2.0
|
298 |
+
QDarkStyle==3.0.2
|
299 |
+
qstylizer==0.2.2
|
300 |
+
QtAwesome==1.2.2
|
301 |
+
qtconsole==5.4.2
|
302 |
+
QtPy==2.2.0
|
303 |
+
queuelib==1.5.0
|
304 |
+
regex==2022.7.9
|
305 |
+
requests==2.31.0
|
306 |
+
requests-file==1.5.1
|
307 |
+
requests-toolbelt==1.0.0
|
308 |
+
responses==0.13.3
|
309 |
+
rfc3339-validator==0.1.4
|
310 |
+
rfc3986-validator==0.1.1
|
311 |
rich==13.9.4
|
312 |
+
rope==1.7.0
|
313 |
+
Rtree==1.0.1
|
314 |
+
ruamel.yaml==0.17.21
|
315 |
+
ruamel-yaml-conda==0.17.21
|
316 |
+
s3fs==2023.4.0
|
317 |
+
safetensors==0.3.2
|
318 |
+
scikit-image==0.20.0
|
319 |
+
scikit-learn==1.3.0
|
320 |
+
scipy==1.11.1
|
321 |
+
Scrapy==2.8.0
|
322 |
+
seaborn==0.12.2
|
323 |
+
Send2Trash==1.8.0
|
324 |
+
service-identity==18.1.0
|
325 |
+
setuptools==68.0.0
|
326 |
+
sip==6.6.2
|
327 |
+
six==1.16.0
|
328 |
+
smart-open==5.2.1
|
329 |
smmap==5.0.2
|
330 |
+
sniffio==1.2.0
|
331 |
+
snowballstemmer==2.2.0
|
332 |
+
sortedcontainers==2.4.0
|
333 |
+
soupsieve==2.4
|
334 |
+
Sphinx==5.0.2
|
335 |
+
sphinxcontrib-applehelp==1.0.2
|
336 |
+
sphinxcontrib-devhelp==1.0.2
|
337 |
+
sphinxcontrib-htmlhelp==2.0.0
|
338 |
+
sphinxcontrib-jsmath==1.0.1
|
339 |
+
sphinxcontrib-qthelp==1.0.3
|
340 |
+
sphinxcontrib-serializinghtml==1.1.5
|
341 |
+
spyder==5.4.3
|
342 |
+
spyder-kernels==2.4.4
|
343 |
+
SQLAlchemy==1.4.39
|
344 |
+
stack-data==0.2.0
|
345 |
+
statsmodels==0.14.0
|
346 |
streamlit==1.42.0
|
347 |
streamlit-webrtc==0.47.9
|
348 |
sympy==1.13.1
|
349 |
+
tables==3.8.0
|
350 |
+
tabulate==0.8.10
|
351 |
+
tblib==1.7.0
|
352 |
+
tenacity==8.2.2
|
353 |
+
terminado==0.17.1
|
354 |
+
text-unidecode==1.3
|
355 |
+
textdistance==4.2.1
|
356 |
+
threadpoolctl==2.2.0
|
357 |
+
three-merge==0.1.1
|
358 |
+
tifffile==2023.4.12
|
359 |
+
tinycss2==1.2.1
|
360 |
+
tldextract==3.2.0
|
361 |
+
tokenizers==0.13.2
|
362 |
toml==0.10.2
|
363 |
+
tomlkit==0.11.1
|
364 |
+
toolz==0.12.0
|
365 |
torch==2.6.0
|
366 |
+
tornado==6.3.2
|
367 |
+
tqdm==4.65.0
|
368 |
+
traitlets==5.7.1
|
369 |
+
transformers==4.32.1
|
370 |
+
Twisted==22.10.0
|
371 |
typing_extensions==4.12.2
|
372 |
+
tzdata==2023.3
|
373 |
+
uc-micro-py==1.0.1
|
374 |
+
ujson==5.4.0
|
375 |
+
Unidecode==1.2.0
|
376 |
+
urllib3==1.26.16
|
377 |
+
w3lib==1.21.0
|
378 |
+
watchdog==2.1.6
|
379 |
+
wcwidth==0.2.5
|
380 |
+
webencodings==0.5.1
|
381 |
+
websocket-client==0.58.0
|
382 |
+
Werkzeug==2.2.3
|
383 |
+
whatthepatch==1.0.2
|
384 |
+
wheel==0.38.4
|
385 |
+
widgetsnbextension==4.0.5
|
386 |
+
wrapt==1.14.1
|
387 |
+
wurlitzer==3.0.2
|
388 |
+
xarray==2023.6.0
|
389 |
+
xlwings==0.29.1
|
390 |
+
xxhash==2.0.2
|
391 |
+
xyzservices==2022.9.0
|
392 |
+
y-py==0.5.9
|
393 |
+
yapf==0.31.0
|
394 |
+
yarl==1.8.1
|
395 |
+
ypy-websocket==0.8.2
|
396 |
+
zict==2.2.0
|
397 |
+
zipp==3.11.0
|
398 |
+
zope.interface==5.4.0
|
399 |
+
zstandard==0.19.0
|