initial commit

.gitattributes

@@ -33,3 +33,26 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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+data/input/reference_audio/phase3_assamese_male_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_bengali_male_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_bodo_female_48k.wav filter=lfs diff=lfs merge=lfs -text
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+data/input/reference_audio/phase3_punjabi_female_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_punjabi_male_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_sanskrit_female_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_sanskrit_male_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_tamil_female_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_tamil_male_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_telugu_female_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/input/reference_audio/phase3_telugu_male_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/output/1_te_phase3_telugu_male_48k.wav filter=lfs diff=lfs merge=lfs -text
+data/output/2_mr_phase3_manipuri_male_48k.wav filter=lfs diff=lfs merge=lfs -text

Dockerfile

@@ -0,0 +1,42 @@
+FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-runtime
+
+# Set working directory
+WORKDIR /app
+
+# Verify Python version meets requirements (>=3.9.0, <3.12)
+RUN python --version
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    libsndfile1 \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Cython first (crucial for building extensions)
+RUN pip install --no-cache-dir Cython packaging
+
+# Clone the repository
+RUN git clone https://github.com/PranavDBhat/LIMMITS-24-Coquiai.git /app/LIMMITS-24-Coquiai
+
+# Install only the main requirements (not dev/notebooks requirements)
+# This directly uses the requirements.txt file from the repository
+RUN cd /app/LIMMITS-24-Coquiai && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Install the package in development mode
+# This will build the Cython extensions
+RUN cd /app/LIMMITS-24-Coquiai && \
+    pip install -e .
+
+# Create directories for models, input, and output
+RUN mkdir -p /app/models /app/data/input /app/data/output
+
+# Copy the inference script
+COPY infer.py /app/
+
+# Set the entrypoint to run the inference script
+ENTRYPOINT ["python", "infer.py"]
+
+# Default command (can be overridden)
+CMD ["--help"]

build_and_run.sh

@@ -0,0 +1,51 @@
+#!/bin/bash
+
+# Ensure directories exist
+mkdir -p models data/input/reference_audio data/output
+
+# Check if model files exist
+if [ ! -f "models/best_model_479919.pth" ] || [ ! -f "models/config.json" ]; then
+    echo "ERROR: Model files not found in models/ directory!"
+    echo "Please place model files in models/ directory:"
+    echo "- models/best_model_479919.pth"
+    echo "- models/config.json"
+    exit 1
+fi
+
+# Check if sample inputs exist
+if [ ! -f "data/input/texts.txt" ]; then
+    echo "WARNING: No texts.txt found. Creating sample file..."
+    echo -e "1\tte\tవడ్రంగి, క్షురక వృత్తులలో పెట్టుబడి ప్రధానమై ఇతరులు కూడా ఈ వృత్తిలో ప్రవేశించి వ్యాపారంగా మార్చేసార\tspeaker1.wav" > data/input/texts.txt
+    echo "Please add reference audio files to data/input/reference_audio/"
+fi
+
+# Build the Docker image
+echo "Building Docker image (this may take some time)..."
+docker build -t tts-baseline .
+
+echo ""
+echo "Build complete!"
+echo ""
+
+docker run --gpus all \
+  -v "$(pwd)/models:/app/models" \
+  -v "$(pwd)/data/input:/app/data/input" \
+  -v "$(pwd)/data/output:/app/data/output" \
+  -v "$(pwd)/model_related:/app/model_related" \
+  tts-baseline \
+  --text_file /app/data/input/texts.txt \
+  --ref_dir /app/data/input/reference_audio \
+  --savedir /app/data/output \
+  --device cuda
+
+# For CPU inference
+# docker run \
+#   -v "$(pwd)/models:/app/models" \
+#   -v "$(pwd)/data/input:/app/data/input" \
+#   -v "$(pwd)/data/output:/app/data/output" \
+#   -v "$(pwd)/model_related:/app/model_related" \
+#   tts-baseline \
+#   --text_file /app/data/input/texts.txt \
+#   --ref_dir /app/data/input/reference_audio \
+#   --savedir /app/data/output \
+#   --device cpu

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data/input/texts.txt

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+1	te	వడ్రంగి, క్షురక వృత్తులలో పెట్టుబడి ప్రధానమై ఇతరులు కూడా ఈ వృత్తిలో ప్రవేశించి వ్యాపారంగా మార్చేసార	phase3_telugu_male_48k.wav
+2	mr	जायकवाडी धरणातून तब्बल अडीच ते तीन लाख हेक्टर शेतीच्या सिंचनासाठी पाणी सोडलं जातं	phase3_manipuri_male_48k.wav

data/output/1_te_phase3_telugu_male_48k.wav

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data/output/2_mr_phase3_manipuri_male_48k.wav

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+size 499276

infer.py

@@ -0,0 +1,132 @@
+import torch
+from TTS.api import TTS
+import os
+from tqdm import tqdm
+import argparse
+
+# Parse arguments
+parser = argparse.ArgumentParser(description="Text-to-Speech Synthesis")
+parser.add_argument('-t', '--text_file', type=str, required=True, 
+                    help='Path to text file containing text and audio reference files')
+parser.add_argument('-r', '--ref_dir', type=str, required=True,
+                    help='Root directory containing reference audio files')
+parser.add_argument('-s', '--savedir', type=str, required=True,
+                    help='Directory to store synthesized audio files')
+parser.add_argument('-d', '--device', type=str, required=True,
+                    help='Device to use for synthesis (cpu or cuda)')
+parser.add_argument('-m', '--model_path', type=str, 
+                    default="/app/models/best_model_479919.pth",
+                    help='Path to the model file')
+parser.add_argument('-c', '--config_path', type=str, 
+                    default="/app/models/config.json",
+                    help='Path to the config file')
+
+args = parser.parse_args()
+
+# Get device
+device = args.device if args.device in ["cpu", "cuda"] else "cuda" if torch.cuda.is_available() else "cpu"
+print(f"Using device: {device}")
+
+# Initialize TTS model
+print(f"Loading model from {args.model_path} with config {args.config_path}")
+tts = TTS(
+    model_path=args.model_path,
+    config_path=args.config_path,
+    progress_bar=False,
+).to(device)
+
+# Create output directory
+os.makedirs(args.savedir, exist_ok=True)
+print(f"Output directory: {args.savedir}")
+
+# Read the text file
+print(f"Reading text file: {args.text_file}")
+with open(args.text_file, 'r') as f:
+    lines = f.readlines()
+
+# Process each line
+print(f"Processing {len(lines)} entries...")
+for i, line in enumerate(tqdm(lines)):
+    parts = line.strip().split('\t')
+    if len(parts) != 4:
+        print(f"Warning: Line {i+1} does not have 4 tab-separated parts. Skipping.")
+        continue
+        
+    idx, lang, text, ref_file = parts
+    ref_path = os.path.join(args.ref_dir, ref_file)
+    save_path = os.path.join(args.savedir, f"{idx}_{lang}_{os.path.basename(ref_file)}")
+    
+    print(f"Synthesizing: {text[:30]}... using reference {ref_path}")
+    tts.tts_to_file(text=text, speaker_wav=ref_path, language=lang, file_path=save_path)
+    print(f"Saved to: {save_path}")
+
+print("Synthesis complete!")
+
+# import torch
+# from TTS.api import TTS
+# import os
+# from tqdm import tqdm
+# import argparse
+
+# # Get device
+# device = "cuda:3" if torch.cuda.is_available() else "cpu"
+
+
+# sentences_dict = {
+#     "te": ["వడ్రంగి, క్షురక వృత్తులలో పెట్టుబడి ప్రధానమై ఇతరులు కూడా ఈ వృత్తిలో ప్రవేశించి వ్యాపారంగా మార్చేసార",
+#            "నేను ఈ రోజు నాకు ఇష్టమైన పుస్తకాన్ని చదివాను మరియు తరువాత నా స్నేహితుడితో సినిమాకు వెళ్ళాను",
+#            "ఈ వేసవి సెలవులలో నేను నా కుటుంబంతో కలిసి ఒక అందమైన బీచ్‌కి వెళ్ళాలని అనుకుంటున్నాను"],
+#     "mr": ["जायकवाडी धरणातून तब्बल अडीच ते तीन लाख हेक्टर शेतीच्या सिंचनासाठी पाणी सोडलं जातं",
+#            "मी आज माझ्या आवडत्या पुस्तकाचे वाचन केले आणि नंतर माझ्या मित्रासोबत चित्रपटाला गेलो",
+#            "या उन्हाळी सुट्टीत मी माझ्या कुटुंबासोबत एक सुंदर समुद्रकिनाऱ्यावर जाण्याचा विचार करतो"],
+#     "bho": ["बिहार के बक्सर जिला के बक्सर नगर निगम क्षेत्र में गंगा नदी पर बने बक्सर पुल का उद्घाटन आज प्रधानमंत्री नरेंद्र मोदी करेंगे",
+#            "एन्ट्रापी कंप्यूटिंग में एन्ट्रोपी ऊ ऑपरेटिंग सिस्टम ह जे पे सरा क्रिप्टोग्राफिक फंक्शन सब काम करे लें",
+#            "हमार मंडराये वाली जहाज़ सर्पमीनन से भरी है"],
+# }
+
+# tts = TTS(
+#     model_path="/home1/jesuraj/speechlm/espnet/egs2/LIMMITS_25/speechlm1/downloads/yourtts_syspin_baseline-April-19-2025_10+55AM-0b13ea658/best_model_479919.pth",
+#     config_path="/home1/jesuraj/speechlm/espnet/egs2/LIMMITS_25/speechlm1/downloads/yourtts_syspin_baseline-April-19-2025_10+55AM-0b13ea658/config.json",
+#     progress_bar=False,
+#     ).to(device)
+
+
+# parser = argparse.ArgumentParser(description="Text-to-Speech Synthesis")
+# parser.add_argument('-t', '--text_file', type=str, required=True, 
+#                     help='Path to text file containing text and audio reference files')
+# parser.add_argument('-r', '--ref_dir', type=str, required=True,
+#                         help='Root directory containing reference audio files')
+# parser.add_argument('-s', '--savedir', type=str, required=True,
+#                         help='Directory to store synthesized audio files')
+# parser.add_argument('-d', '--device', type=str, required=True,
+#                         help='Device to use for synthesis (cpu or cuda)')
+
+# args = parser.parse_args()
+
+
+
+
+# os.makedirs(args.savedir, exist_ok=True)
+
+# # Read the text file
+# with open(args.text_file, 'r') as f:
+#     lines = f.readlines()
+
+# for line in lines:
+#     idx, lang, text, ref_file = line.strip().split('\t')
+#     ref_file = os.path.join(args.ref_dir, ref_file)
+#     save_path = os.path.join(args.savedir, f"{idx}_{lang}_{os.path.basename(ref_file)}")
+#     tts.tts_to_file(text=text, speaker_wav=ref_file, language=lang, file_path=save_path)
+    
+
+# # ref_files = [os.path.join("/home1/jesuraj/speechlm/espnet/egs2/LIMMITS_25/speechlm1/downloads/test_samples/", x) for x in os.listdir("/home1/jesuraj/speechlm/espnet/egs2/LIMMITS_25/speechlm1/downloads/test_samples/")]
+
+
+
+# # for ref_file in ref_files:
+# #     for language_key in sentences_dict.keys():
+# #         for s_idx, sentence in enumerate(sentences_dict[language_key]):
+# #             save_path = os.path.join("/home1/jesuraj/speechlm/espnet/egs2/LIMMITS_25/speechlm1/downloads/test_infers/", f"test_{language_key}_{s_idx}_{os.path.basename(ref_file)}")
+# #             tts.tts_to_file(text=sentence, speaker_wav=ref_file, language=language_key, file_path=save_path)
+    
+#     # tts.tts_to_file(text="ಹಸ್ದೇವ್ ನದಿ, ರಿಹಂಡ್ ನದಿ ಮತ್ತು ಕನ್ಹರ್ ನದಿಗಳು ಸುರ್ಗುಜಾದ ಮುಖಜ ಭೂಮಿಯಲ್ಲಿ ಹರಿಯುತ್ತವೆ.", speaker_wav="/home1/jesuraj/speechlm/espnet/egs2/LIMMITS_25/speechlm1/downloads/syspin_data/Chhattisgarhi_Male/wavs/IISc_SYSPINProject_chha_m_AGRI_00001.wav", language="kn", file_path="test_kn.wav")

model_related/Bengali_Female/speakers.pth

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+size 100098080

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+version https://git-lfs.github.com/spec/v1
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+size 119368032

model_related/Bhojpuri_Female/speakers.pth

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model_related/Chhattisgarhi_Female/speakers.pth

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+size 103680032

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+size 116714528

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