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Update Gradio app with multiple files
Browse files- app.py +43 -7
- requirements.txt +14 -0
app.py
CHANGED
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@@ -12,9 +12,12 @@ client = InferenceClient(
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bill_to="huggingface",
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)
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def text_to_video(prompt, duration=5, aspect_ratio="16:9", resolution="720p"):
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"""Generate video from text prompt"""
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try:
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if not prompt or prompt.strip() == "":
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return None, "Please enter a text prompt"
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@@ -34,9 +37,12 @@ def text_to_video(prompt, duration=5, aspect_ratio="16:9", resolution="720p"):
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except Exception as e:
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return None, f"β Error generating video: {str(e)}"
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def image_to_video(image, prompt, duration=5, aspect_ratio="16:9", resolution="720p"):
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"""Generate video from image and prompt"""
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try:
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if image is None:
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return None, "Please upload an image"
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@@ -109,6 +115,15 @@ custom_css = """
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border-radius: 5px;
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margin-top: 10px;
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}
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"""
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# Create the Gradio interface
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@@ -121,6 +136,17 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft(), title="AI Video Generator
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"""
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)
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with gr.Tabs() as tabs:
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# Text-to-Video Tab
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with gr.Tab("π Text to Video", id=0):
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@@ -292,26 +318,34 @@ with gr.Blocks(css=custom_css, theme=gr.themes.Soft(), title="AI Video Generator
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fn=text_to_video,
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inputs=[text_prompt, text_duration, text_aspect_ratio, text_resolution],
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outputs=[text_video_output, text_status],
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show_progress="full"
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)
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text_clear_btn.click(
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fn=clear_text_tab,
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inputs=[],
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outputs=[text_prompt, text_video_output, text_status]
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)
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image_generate_btn.click(
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fn=image_to_video,
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inputs=[image_input, image_prompt, image_duration, image_aspect_ratio, image_resolution],
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outputs=[image_video_output, image_status],
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show_progress="full"
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)
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image_clear_btn.click(
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fn=clear_image_tab,
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inputs=[],
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outputs=[image_input, image_prompt, image_video_output, image_status]
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)
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# Launch the app
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@@ -319,5 +353,7 @@ if __name__ == "__main__":
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demo.launch(
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show_api=False,
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share=False,
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-
show_error=True
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)
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bill_to="huggingface",
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)
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+
def text_to_video(prompt, duration=5, aspect_ratio="16:9", resolution="720p", profile: gr.OAuthProfile | None = None):
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"""Generate video from text prompt"""
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try:
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if profile is None:
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return None, "β Click Sign in with Hugging Face button to use this app for free"
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if not prompt or prompt.strip() == "":
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return None, "Please enter a text prompt"
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except Exception as e:
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return None, f"β Error generating video: {str(e)}"
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+
def image_to_video(image, prompt, duration=5, aspect_ratio="16:9", resolution="720p", profile: gr.OAuthProfile | None = None):
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"""Generate video from image and prompt"""
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try:
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if profile is None:
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return None, "β Click Sign in with Hugging Face button to use this app for free"
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if image is None:
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return None, "Please upload an image"
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border-radius: 5px;
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margin-top: 10px;
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}
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.auth-warning {
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color: #ff6b00;
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font-weight: bold;
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text-align: center;
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margin: 1em 0;
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padding: 1em;
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background-color: #fff3e0;
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border-radius: 5px;
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}
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"""
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# Create the Gradio interface
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"""
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)
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gr.HTML(
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"""
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<div class="auth-warning">
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β οΈ You must Sign in with Hugging Face using the button below to use this app.
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</div>
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"""
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)
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# Add login button - required for OAuth
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gr.LoginButton()
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with gr.Tabs() as tabs:
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# Text-to-Video Tab
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with gr.Tab("π Text to Video", id=0):
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fn=text_to_video,
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inputs=[text_prompt, text_duration, text_aspect_ratio, text_resolution],
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outputs=[text_video_output, text_status],
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show_progress="full",
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queue=False,
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api_name=False,
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show_api=False
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)
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text_clear_btn.click(
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fn=clear_text_tab,
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inputs=[],
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outputs=[text_prompt, text_video_output, text_status],
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queue=False
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)
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image_generate_btn.click(
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fn=image_to_video,
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inputs=[image_input, image_prompt, image_duration, image_aspect_ratio, image_resolution],
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outputs=[image_video_output, image_status],
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show_progress="full",
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queue=False,
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api_name=False,
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show_api=False
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)
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image_clear_btn.click(
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fn=clear_image_tab,
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inputs=[],
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outputs=[image_input, image_prompt, image_video_output, image_status],
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queue=False
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)
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# Launch the app
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demo.launch(
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show_api=False,
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share=False,
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show_error=True,
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enable_monitoring=False,
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quiet=True
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)
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requirements.txt
ADDED
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@@ -0,0 +1,14 @@
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+
huggingface-hub
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+
Pillow
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+
gradio
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+
requests
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+
numpy
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+
torch
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+
torchvision
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+
torchaudio
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+
accelerate
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+
tokenizers
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+
datasets
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+
sentencepiece
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+
git+https://github.com/huggingface/transformers
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+
git+https://github.com/huggingface/diffusers
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