Spaces:
Running
on
Zero
Running
on
Zero
animikhaich
commited on
Commit
•
ee4f393
1
Parent(s):
99896f8
Pre-Final Changes, Release Ready
Browse files- engine/audio_generator.py +33 -22
- engine/video_descriptor.py +23 -8
- main.py +94 -85
engine/audio_generator.py
CHANGED
@@ -1,5 +1,6 @@
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import os
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import warnings
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warnings.simplefilter("ignore")
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
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@@ -9,13 +10,11 @@ import numpy as np
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from audiocraft.models import musicgen
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from scipy.io.wavfile import write as wav_write
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-
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FORMAT = "%(asctime)s: %(levelname)s: %(message)s"
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logging.basicConfig(filename='logs.log', level=logging.INFO, format=FORMAT)
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STDERRLOGGER = logging.StreamHandler()
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STDERRLOGGER.setFormatter(logging.Formatter(FORMAT))
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logging.getLogger().addHandler(STDERRLOGGER)
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class GenerateAudio:
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def __init__(self, model="musicgen-stereo-small"):
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@@ -32,7 +31,9 @@ class GenerateAudio:
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logging.info(f"Loaded model: {model}")
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return model
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except Exception as e:
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logging.error(
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raise ValueError(f"Failed to load model: {e}")
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return
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@@ -41,14 +42,18 @@ class GenerateAudio:
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if model_name.startswith("facebook/"):
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return model_name
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return f"facebook/{model_name}"
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-
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@staticmethod
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def duration_sanity_check(duration):
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if duration < 1:
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logging.warning(
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return 1
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elif duration > 30:
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-
logging.warning(
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return 30
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return duration
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@@ -62,16 +67,16 @@ class GenerateAudio:
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for prompt in prompts:
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if not isinstance(prompt, str):
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raise ValueError("Prompts should be a string or a list of strings.")
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-
if len(prompts) > 8:
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raise ValueError("Maximum number of prompts allowed is 8.")
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return prompts
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-
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def generate_audio(self, prompts, duration=10):
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duration = self.duration_sanity_check(duration)
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prompts = self.prompts_sanity_check(prompts)
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try:
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if duration <= 30:
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self.model.set_generation_params(duration=duration)
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result = self.model.generate(prompts, progress=False)
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@@ -79,18 +84,23 @@ class GenerateAudio:
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self.model.set_generation_params(duration=30)
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result = self.model.generate(prompts, progress=False)
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self.model.set_generation_params(duration=duration)
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-
result = self.model.generate_with_chroma(
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self.result = result.cpu().numpy().T
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self.result = self.result.transpose((2, 0, 1))
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-
self.sampling_rate = self.model.sample_rate
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logging.info(
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f"Generated audio with shape: {self.result.shape}, sample rate: {self.sampling_rate} Hz"
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)
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print(f"Generated audio with shape: {self.result.shape}, sample rate: {self.sampling_rate} Hz")
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return self.sampling_rate, self.result
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except Exception as e:
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logging.error(
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raise ValueError(f"Failed to generate audio: {e}")
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def save_audio(self, audio_dir="generated_audio"):
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@@ -121,17 +131,18 @@ class GenerateAudio:
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buffers.append(buffer)
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return buffers
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if __name__ == "__main__":
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audio_gen = GenerateAudio()
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sample_rate, result = audio_gen.generate_audio(
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[
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-
"A piano playing a jazz melody",
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"A guitar playing a rock riff",
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"A LoFi music for coding"
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],
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duration=10
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)
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paths = audio_gen.save_audio()
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print(f"Saved audio to: {paths}")
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buffers = audio_gen.get_audio_buffer()
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print(f"Audio buffers: {buffers}")
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import os
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import warnings
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import traceback
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warnings.simplefilter("ignore")
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
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from audiocraft.models import musicgen
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from scipy.io.wavfile import write as wav_write
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try:
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from logger import logging
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except:
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import logging
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class GenerateAudio:
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def __init__(self, model="musicgen-stereo-small"):
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logging.info(f"Loaded model: {model}")
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return model
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except Exception as e:
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logging.error(
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f"Failed to load model: {e}, Traceback: {traceback.format_exc()}"
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)
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raise ValueError(f"Failed to load model: {e}")
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return
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if model_name.startswith("facebook/"):
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return model_name
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return f"facebook/{model_name}"
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+
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@staticmethod
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def duration_sanity_check(duration):
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if duration < 1:
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logging.warning(
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"Duration is less than 1 second. Setting duration to 1 second."
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)
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return 1
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elif duration > 30:
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logging.warning(
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"Duration is greater than 30 seconds. Setting duration to 30 seconds."
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)
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return 30
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return duration
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for prompt in prompts:
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if not isinstance(prompt, str):
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raise ValueError("Prompts should be a string or a list of strings.")
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if len(prompts) > 8: # Too many prompts will cause OOM error
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raise ValueError("Maximum number of prompts allowed is 8.")
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return prompts
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def generate_audio(self, prompts, duration=10):
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duration = self.duration_sanity_check(duration)
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prompts = self.prompts_sanity_check(prompts)
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try:
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self.sampling_rate = self.model.sample_rate
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if duration <= 30:
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self.model.set_generation_params(duration=duration)
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result = self.model.generate(prompts, progress=False)
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self.model.set_generation_params(duration=30)
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result = self.model.generate(prompts, progress=False)
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self.model.set_generation_params(duration=duration)
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result = self.model.generate_with_chroma(
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prompts,
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result,
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melody_sample_rate=self.sampling_rate,
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progress=False,
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)
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self.result = result.cpu().numpy().T
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self.result = self.result.transpose((2, 0, 1))
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logging.info(
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f"Generated audio with shape: {self.result.shape}, sample rate: {self.sampling_rate} Hz"
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)
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return self.sampling_rate, self.result
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except Exception as e:
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logging.error(
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f"Failed to generate audio: {e}, Traceback: {traceback.format_exc()}"
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)
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raise ValueError(f"Failed to generate audio: {e}")
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def save_audio(self, audio_dir="generated_audio"):
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buffers.append(buffer)
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return buffers
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+
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if __name__ == "__main__":
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audio_gen = GenerateAudio()
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sample_rate, result = audio_gen.generate_audio(
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[
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"A piano playing a jazz melody",
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"A guitar playing a rock riff",
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"A LoFi music for coding",
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],
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duration=10,
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)
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paths = audio_gen.save_audio()
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print(f"Saved audio to: {paths}")
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buffers = audio_gen.get_audio_buffer()
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print(f"Audio buffers: {buffers}")
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engine/video_descriptor.py
CHANGED
@@ -1,5 +1,6 @@
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import os
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from warnings import simplefilter
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simplefilter("ignore")
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
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@@ -43,26 +44,38 @@ class DescribeVideo:
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self.safety_settings = self.get_safety_settings()
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genai.configure(api_key=__api_key)
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self.mllm_model = genai.GenerativeModel(
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logging.info(f"Initialized DescribeVideo with model: {self.model}")
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def describe_video(self, video_path, genre, bpm, user_keywords):
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video_file = genai.upload_file(video_path)
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logging.info(f"Uploaded video: {video_path}")
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while video_file.state.name == "PROCESSING":
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time.sleep(0.25)
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video_file = genai.get_file(video_file.name)
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if video_file.state.name == "FAILED":
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logging.error(
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raise ValueError(f"Failed to upload video: {video_file.state.name}")
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-
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additional_keywords = ", ".join([genre, user_keywords
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response = self.mllm_model.generate_content(
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[video_file,
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request_options={"timeout": 600},
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safety_settings=self.safety_settings,
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)
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@@ -116,7 +129,9 @@ class DescribeVideo:
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api_key = creds.get("google_api_key", None)
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if api_key is None or not isinstance(api_key, str):
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logging.error(
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raise ValueError(f"Gemini API key not found in {path}")
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return api_key
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@@ -129,7 +144,7 @@ class DescribeVideo:
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if model not in models:
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logging.error(
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f"Invalid model name '{model}'. Valid options are: {', '.join(models.keys())}"
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)
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raise ValueError(
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f"Invalid model name '{model}'. Valid options are: {', '.join(models.keys())}"
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import os
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from warnings import simplefilter
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import traceback
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simplefilter("ignore")
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os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
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self.safety_settings = self.get_safety_settings()
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genai.configure(api_key=__api_key)
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self.mllm_model = genai.GenerativeModel(
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self.model, system_instruction=gemini_instructions
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)
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logging.info(f"Initialized DescribeVideo with model: {self.model}")
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def describe_video(self, video_path, genre, bpm, user_keywords):
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video_file = genai.upload_file(video_path)
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while video_file.state.name == "PROCESSING":
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time.sleep(0.25)
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video_file = genai.get_file(video_file.name)
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if video_file.state.name == "FAILED":
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logging.error(
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f"Failed to upload video: {video_file.state.name}, Traceback: {traceback.format_exc()}"
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)
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raise ValueError(f"Failed to upload video: {video_file.state.name}")
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additional_keywords = ", ".join(filter(None, [genre, user_keywords])) + (
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f", {bpm} bpm" if bpm else ""
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)
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logging.info(f"Uploaded video: {video_path} and config: {additional_keywords}")
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user_prompt = "Explain what is happening in this video."
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if additional_keywords:
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user_prompt += f" The following keywords are provided by the user for generating the music prompt: {additional_keywords}"
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response = self.mllm_model.generate_content(
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[video_file, user_prompt],
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request_options={"timeout": 600},
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safety_settings=self.safety_settings,
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)
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api_key = creds.get("google_api_key", None)
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if api_key is None or not isinstance(api_key, str):
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logging.error(
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f"Google API key not found in {path}, Traceback: {traceback.format_exc()}"
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)
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raise ValueError(f"Gemini API key not found in {path}")
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return api_key
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if model not in models:
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logging.error(
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f"Invalid model name '{model}'. Valid options are: {', '.join(models.keys())}, Traceback: {traceback.format_exc()}"
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)
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raise ValueError(
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f"Invalid model name '{model}'. Valid options are: {', '.join(models.keys())}"
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main.py
CHANGED
@@ -1,10 +1,9 @@
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import streamlit as st
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from engine import DescribeVideo, GenerateAudio
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import os
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import time
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from moviepy.editor import VideoFileClip
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-
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video_model_map = {
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"Fast": "flash",
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"Quality": "pro",
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"Quality": "musicgen-stereo-large",
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}
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genre_map = {
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"Pop": "Pop",
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"Rock": "Rock",
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"Hip Hop": "Hip-Hop/Rap",
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@@ -30,7 +35,6 @@ genre_map = {
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"Lo-Fi": "Lo-Fi",
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}
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-
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st.set_page_config(
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page_title="VidTune: Where Videos Find Their Melody", layout="centered"
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)
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"VidTune is a web application that allows users to upload videos and generate melodies matching the mood of the video."
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)
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# Sidebar
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st.sidebar.title("Settings")
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)
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-
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"
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)
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-
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generate_button = st.sidebar.button("Generate Music")
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-
video_descriptor = None
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-
audio_descriptor = None
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video_description = None
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-
#
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-
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-
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-
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# Video Uploader
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uploaded_video = st.file_uploader("Upload Video", type=["mp4"])
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if uploaded_video is not None:
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@@ -80,11 +145,15 @@ if generate_button and uploaded_video is None:
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st.error("Please upload a video before generating music.")
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st.stop()
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-
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# Submit Button and music generation if video is uploaded
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if generate_button and uploaded_video is not None:
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with st.spinner("Analyzing video..."):
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video_description = video_descriptor.describe_video(
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video_duration = VideoFileClip("temp.mp4").duration
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music_prompt = video_description["Music Prompt"]
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@@ -106,75 +175,15 @@ if generate_button and uploaded_video is not None:
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# Generate Music
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with st.spinner("Generating music..."):
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-
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audio_generator.generate_audio(music_prompt, duration=video_duration)
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audio_paths = audio_generator.save_audio()
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st.success("Music generated successfully.")
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for i, audio_path in enumerate(audio_paths):
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st.audio(audio_path, format="audio/wav")
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-
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-
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# data=open(audio_path, "rb"),
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# file_name=f"Generated Music {i+1}.wav",
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# mime="audio/wav",
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# )
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-
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-
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# # Main Page (Page 1)
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# if "page" not in st.session_state:
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# st.session_state.page = "main"
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-
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# if st.session_state.page == "main":
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# st.header("Video to Music")
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# uploaded_video = st.file_uploader("Upload Video", type=["mp4"])
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-
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# if uploaded_video is not None:
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# st.session_state.uploaded_video = uploaded_video
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# with open("temp.mp4", mode="wb") as w:
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# w.write(uploaded_video.getvalue())
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# video_description = video_descriptor.describe_video("temp.mp4")
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-
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# st.session_state.page = "video_to_music"
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-
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# if st.session_state.page == "main":
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# st.header("Prompt to Music")
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# prompt = st.text_area("Prompt")
|
142 |
-
# if generate_button:
|
143 |
-
# st.session_state.prompt = prompt
|
144 |
-
# st.session_state.page = "prompt_to_music"
|
145 |
-
|
146 |
-
# # Page 2a (If the user uploads a video)
|
147 |
-
# if st.session_state.page == "video_to_music":
|
148 |
-
# st.video(st.session_state.uploaded_video)
|
149 |
-
|
150 |
-
# st.text_area(
|
151 |
-
# "Video Description", "This is a fixed video description", disabled=True
|
152 |
-
# )
|
153 |
-
# st.text_area("Music Description")
|
154 |
-
|
155 |
-
# if generate_button:
|
156 |
-
# st.session_state.page = "result"
|
157 |
-
# st.session_state.device = device
|
158 |
-
# st.session_state.num_samples = num_samples
|
159 |
-
|
160 |
-
# # Page 2b (If user selects "Prompt to Music" in Page 1)
|
161 |
-
# if st.session_state.page == "prompt_to_music":
|
162 |
-
# st.sidebar.title("Settings")
|
163 |
-
# device = st.sidebar.selectbox("Select Device", ["GPU", "CPU"], index=0)
|
164 |
-
# num_samples = st.sidebar.slider("Number of samples", 1, 10, 3)
|
165 |
-
|
166 |
-
# if generate_button:
|
167 |
-
# st.session_state.page = "result"
|
168 |
-
# st.session_state.device = device
|
169 |
-
# st.session_state.num_samples = num_samples
|
170 |
-
|
171 |
-
# # Page 3 (Results Page)
|
172 |
-
# if st.session_state.page == "result":
|
173 |
-
# st.header("Generated Music")
|
174 |
-
# for i in range(st.session_state.num_samples):
|
175 |
-
# st.write(f"Music Sample {i+1}")
|
176 |
-
# st.audio(f"Generated Music {i+1}.mp3", format="audio/mp3")
|
177 |
-
# st.download_button(f"Download Music {i+1}", f"Generated Music {i+1}.mp3")
|
178 |
-
|
179 |
-
# if st.button("Start Over"):
|
180 |
-
# st.session_state.page = "main"
|
|
|
1 |
import streamlit as st
|
2 |
from engine import DescribeVideo, GenerateAudio
|
3 |
import os
|
|
|
4 |
from moviepy.editor import VideoFileClip
|
5 |
|
6 |
+
# Define model maps
|
7 |
video_model_map = {
|
8 |
"Fast": "flash",
|
9 |
"Quality": "pro",
|
|
|
15 |
"Quality": "musicgen-stereo-large",
|
16 |
}
|
17 |
|
18 |
+
# music_model_map = {
|
19 |
+
# "Fast": "facebook/musicgen-melody",
|
20 |
+
# "Quality": "facebook/musicgen-melody-large",
|
21 |
+
# }
|
22 |
+
|
23 |
genre_map = {
|
24 |
+
"None": None,
|
25 |
"Pop": "Pop",
|
26 |
"Rock": "Rock",
|
27 |
"Hip Hop": "Hip-Hop/Rap",
|
|
|
35 |
"Lo-Fi": "Lo-Fi",
|
36 |
}
|
37 |
|
|
|
38 |
st.set_page_config(
|
39 |
page_title="VidTune: Where Videos Find Their Melody", layout="centered"
|
40 |
)
|
|
|
45 |
"VidTune is a web application that allows users to upload videos and generate melodies matching the mood of the video."
|
46 |
)
|
47 |
|
48 |
+
# Initialize session state for advanced settings and other inputs
|
49 |
+
if "show_advanced" not in st.session_state:
|
50 |
+
st.session_state.show_advanced = False
|
51 |
+
if "video_model" not in st.session_state:
|
52 |
+
st.session_state.video_model = "Fast"
|
53 |
+
if "music_model" not in st.session_state:
|
54 |
+
st.session_state.music_model = "Fast"
|
55 |
+
if "num_samples" not in st.session_state:
|
56 |
+
st.session_state.num_samples = 3
|
57 |
+
if "music_genre" not in st.session_state:
|
58 |
+
st.session_state.music_genre = None
|
59 |
+
if "music_bpm" not in st.session_state:
|
60 |
+
st.session_state.music_bpm = 100
|
61 |
+
if "user_keywords" not in st.session_state:
|
62 |
+
st.session_state.user_keywords = None
|
63 |
|
64 |
# Sidebar
|
65 |
st.sidebar.title("Settings")
|
66 |
+
|
67 |
+
# Basic Settings
|
68 |
+
st.session_state.video_model = st.sidebar.selectbox(
|
69 |
+
"Select Video Descriptor",
|
70 |
+
["Fast", "Quality"],
|
71 |
+
index=["Fast", "Quality"].index(st.session_state.video_model),
|
72 |
+
)
|
73 |
+
st.session_state.music_model = st.sidebar.selectbox(
|
74 |
+
"Select Music Generator",
|
75 |
+
["Fast", "Balanced", "Quality"],
|
76 |
+
index=["Fast", "Balanced", "Quality"].index(st.session_state.music_model),
|
77 |
)
|
78 |
+
st.session_state.num_samples = st.sidebar.slider(
|
79 |
+
"Number of samples", 1, 5, st.session_state.num_samples
|
80 |
)
|
81 |
+
|
82 |
+
# Sidebar for advanced settings
|
83 |
+
with st.sidebar:
|
84 |
+
# Create a placeholder for the advanced settings button
|
85 |
+
placeholder = st.empty()
|
86 |
+
|
87 |
+
# Button to toggle advanced settings
|
88 |
+
if placeholder.button("Advanced"):
|
89 |
+
st.session_state.show_advanced = not st.session_state.show_advanced
|
90 |
+
st.rerun() # Refresh the layout after button click
|
91 |
+
|
92 |
+
# Display advanced settings if enabled
|
93 |
+
if st.session_state.show_advanced:
|
94 |
+
# Advanced settings
|
95 |
+
st.session_state.music_bpm = st.sidebar.slider("Beats Per Minute", 35, 180, 100)
|
96 |
+
st.session_state.music_genre = st.sidebar.selectbox(
|
97 |
+
"Select Music Genre",
|
98 |
+
list(genre_map.keys()),
|
99 |
+
index=(
|
100 |
+
list(genre_map.keys()).index(st.session_state.music_genre)
|
101 |
+
if st.session_state.music_genre in genre_map.keys()
|
102 |
+
else 0
|
103 |
+
),
|
104 |
+
)
|
105 |
+
st.session_state.user_keywords = st.sidebar.text_input(
|
106 |
+
"User Keywords",
|
107 |
+
value=st.session_state.user_keywords,
|
108 |
+
help="Enter keywords separated by commas.",
|
109 |
+
)
|
110 |
+
else:
|
111 |
+
st.session_state.music_genre = None
|
112 |
+
st.session_state.music_bpm = None
|
113 |
+
st.session_state.user_keywords = None
|
114 |
+
|
115 |
+
# Generate Button
|
116 |
generate_button = st.sidebar.button("Generate Music")
|
117 |
|
|
|
|
|
|
|
118 |
|
119 |
+
# Cache the model loading
|
120 |
+
@st.cache_resource
|
121 |
+
def load_models(video_model_key, music_model_key):
|
122 |
+
video_descriptor = DescribeVideo(model=video_model_map[video_model_key])
|
123 |
+
audio_generator = GenerateAudio(model=music_model_map[music_model_key])
|
124 |
+
return video_descriptor, audio_generator
|
125 |
|
126 |
|
127 |
+
# Load models
|
128 |
+
video_descriptor, audio_generator = load_models(
|
129 |
+
st.session_state.video_model, st.session_state.music_model
|
130 |
+
)
|
131 |
+
|
132 |
# Video Uploader
|
133 |
uploaded_video = st.file_uploader("Upload Video", type=["mp4"])
|
134 |
if uploaded_video is not None:
|
|
|
145 |
st.error("Please upload a video before generating music.")
|
146 |
st.stop()
|
147 |
|
|
|
148 |
# Submit Button and music generation if video is uploaded
|
149 |
if generate_button and uploaded_video is not None:
|
150 |
with st.spinner("Analyzing video..."):
|
151 |
+
video_description = video_descriptor.describe_video(
|
152 |
+
"temp.mp4",
|
153 |
+
genre=st.session_state.music_genre,
|
154 |
+
bpm=st.session_state.music_bpm,
|
155 |
+
user_keywords=st.session_state.user_keywords,
|
156 |
+
)
|
157 |
video_duration = VideoFileClip("temp.mp4").duration
|
158 |
music_prompt = video_description["Music Prompt"]
|
159 |
|
|
|
175 |
|
176 |
# Generate Music
|
177 |
with st.spinner("Generating music..."):
|
178 |
+
if video_duration > 30:
|
179 |
+
st.warning(
|
180 |
+
"Due to hardware limitations, the maximum music length is capped at 30 seconds."
|
181 |
+
)
|
182 |
+
music_prompt = [music_prompt] * st.session_state.num_samples
|
183 |
audio_generator.generate_audio(music_prompt, duration=video_duration)
|
184 |
audio_paths = audio_generator.save_audio()
|
185 |
st.success("Music generated successfully.")
|
186 |
for i, audio_path in enumerate(audio_paths):
|
187 |
st.audio(audio_path, format="audio/wav")
|
188 |
+
|
189 |
+
st.balloons()
|
|
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