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Update app.py
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app.py
CHANGED
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@@ -36,7 +36,7 @@ footer {
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}
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'''
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global_instruction = "
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input_prefixes = {
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"Image": "A image file called █ has been attached, describe the image content.",
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@@ -69,7 +69,11 @@ def frames_from_video(path):
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def audio_from_video(path):
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clip = VideoFileClip(path)
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with tempfile.NamedTemporaryFile(suffix = ".wav", delete = True) as tmp:
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clip.audio.write_audiofile(tmp.name,
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audio_np, _ = librosa.load(tmp.name, sr = AUDIO_SR, mono = True)
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clip.close()
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return audio_np
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@@ -79,16 +83,23 @@ def load_audio(path):
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return audio_np
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def build_video_omni(path, instruction):
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frames
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audio
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contents = [instruction]
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frame = frames[i] if i < len(frames) else frames[-1]
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contents.extend(["<unit>", frame, chunk])
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return contents
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def build_image_omni(path, instruction):
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image = Image.open(path).convert("RGB")
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return [instruction, image]
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@@ -127,10 +138,8 @@ def generate(input,
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"Audio": build_audio_omni
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}
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instruction = f"{
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sys_msg = repo.get_sys_prompt(mode = "omni", language = "en")
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msgs = [sys_msg, { "role": "user", "content": omni_content }]
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print(msgs)
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}
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'''
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global_instruction = "You will analyze video, audio and text input and output your description of the given content with as much keywords and always take a guess."
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input_prefixes = {
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"Image": "A image file called █ has been attached, describe the image content.",
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def audio_from_video(path):
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clip = VideoFileClip(path)
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with tempfile.NamedTemporaryFile(suffix = ".wav", delete = True) as tmp:
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clip.audio.write_audiofile(tmp.name,
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codec = "pcm_s16le",
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fps = AUDIO_SR,
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verbose = False,
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logger = None)
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audio_np, _ = librosa.load(tmp.name, sr = AUDIO_SR, mono = True)
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clip.close()
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return audio_np
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return audio_np
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def build_video_omni(path, instruction):
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frames = frames_from_video(path)
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audio = audio_from_video(path)
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contents = [instruction]
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audio_secs = math.ceil(len(audio) / AUDIO_SR)
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total_units = max(1, min(len(frames), audio_secs))
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for i in range(total_units):
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frame = frames[i] if i < len(frames) else frames[-1]
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start = i * AUDIO_SR
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end = min((i + 1) * AUDIO_SR, len(audio))
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chunk = audio[start:end]
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if chunk.size == 0: break
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contents.extend(["<unit>", frame, chunk])
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return contents
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def build_image_omni(path, instruction):
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image = Image.open(path).convert("RGB")
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return [instruction, image]
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"Audio": build_audio_omni
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}
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instruction = f"{prefix}\n{instruction}"
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msgs = [{ "role": "user", "content": global_instruction }, { "role": "user", "content": omni_content }]
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print(msgs)
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