Update app.py
Browse files
app.py
CHANGED
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@@ -51,9 +51,7 @@ print(f"Reading {demo_script_path} to apply environment-specific modifications..
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try:
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modified_content = demo_script_path.read_text()
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#
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# Define the original model loading block to be replaced.
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original_model_lines = [
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' self.model = VibeVoiceForConditionalGenerationInference.from_pretrained(',
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' self.model_path,',
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@@ -63,19 +61,10 @@ try:
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' )'
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]
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original_model_block = "\n".join(original_model_lines)
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#
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' num_speakers: int,',
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' script: str,',
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' speaker_1: str = None,',
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' speaker_2: str = None,',
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' speaker_3: str = None,',
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' speaker_4: str = None,',
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' cfg_scale: float = 1.3) -> Iterator[tuple]:'
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]
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original_method_signature = "\n".join(original_method_lines)
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if USE_ZEROGPU:
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print("Optimizing for ZeroGPU execution...")
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@@ -94,8 +83,8 @@ try:
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]
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replacement_model_block_gpu = "\n".join(replacement_model_lines_gpu)
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# Add the @spaces.GPU decorator
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replacement_method_signature_gpu = "@spaces.GPU(duration=120)\n" + original_method_signature
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# --- Apply Patches for GPU ---
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@@ -104,14 +93,16 @@ try:
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modified_content = modified_content.replace(original_method_signature, replacement_method_signature_gpu)
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print("Successfully applied GPU decorator to the generation method.")
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else:
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print("\033[
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# Patch 2: Modify the model loading
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if original_model_block in modified_content:
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modified_content = modified_content.replace(original_model_block, replacement_model_block_gpu)
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print("Successfully patched the model loading block for ZeroGPU.")
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else:
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print("\033[
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else: # Pure CPU execution
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print("Modifying for pure CPU execution...")
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@@ -131,8 +122,8 @@ try:
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modified_content = modified_content.replace(original_model_block, replacement_model_block_cpu)
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print("Script modified for CPU successfully.")
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else:
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print("\033[
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# Write the dynamically modified content back to the demo file
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demo_script_path.write_text(modified_content)
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@@ -142,7 +133,7 @@ except Exception as e:
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sys.exit(1)
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# --- 4. Launch the Gradio Demo ---
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model_id = "microsoft/
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# Construct the command to run the modified demo script
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command = [
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try:
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modified_content = demo_script_path.read_text()
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# Define the original model loading block using a list of lines for robustness.
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original_model_lines = [
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' self.model = VibeVoiceForConditionalGenerationInference.from_pretrained(',
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' self.model_path,',
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' )'
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]
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original_model_block = "\n".join(original_model_lines)
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# More robustly define the generation method signature to patch.
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# We only need the first line to find our target.
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original_method_signature = " def generate_podcast_streaming(self,"
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if USE_ZEROGPU:
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print("Optimizing for ZeroGPU execution...")
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]
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replacement_model_block_gpu = "\n".join(replacement_model_lines_gpu)
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# Add the @spaces.GPU decorator *with correct indentation* before the method.
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replacement_method_signature_gpu = " @spaces.GPU(duration=120)\n" + original_method_signature
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# --- Apply Patches for GPU ---
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modified_content = modified_content.replace(original_method_signature, replacement_method_signature_gpu)
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print("Successfully applied GPU decorator to the generation method.")
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else:
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print("\033[91mError: Could not find the generation method signature to apply the GPU decorator.\033[0m")
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sys.exit(1)
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# Patch 2: Modify the model loading
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if original_model_block in modified_content:
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modified_content = modified_content.replace(original_model_block, replacement_model_block_gpu)
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print("Successfully patched the model loading block for ZeroGPU.")
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else:
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print("\033[91mError: The original model loading block was not found. Patching may have failed.\033[0m")
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sys.exit(1)
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else: # Pure CPU execution
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print("Modifying for pure CPU execution...")
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modified_content = modified_content.replace(original_model_block, replacement_model_block_cpu)
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print("Script modified for CPU successfully.")
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else:
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print("\033[91mError: The original model loading block was not found. Patching may have failed.\03-3[0m")
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sys.exit(1)
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# Write the dynamically modified content back to the demo file
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demo_script_path.write_text(modified_content)
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sys.exit(1)
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# --- 4. Launch the Gradio Demo ---
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model_id = "microsoft/VibeVoice-1.5B"
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# Construct the command to run the modified demo script
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command = [
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