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Update app.py
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app.py
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import gradio as gr
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from
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import
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import uuid
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from dataclasses import dataclass
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messages = []
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user_id: str
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message: str
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timestamp: str
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def get_user_color(user_id):
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if user_id not in user_colors:
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user_colors[user_id] = f"#{random.randint(0, 0xFFFFFF):06x}"
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return user_colors[user_id]
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def chat(input_text, history):
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global messages
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# Parse the input to get user_id and message
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user_id, message = input_text.split("; ")
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#
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history.append(f"User_{user_id[:4]}: {message} ({timestamp})")
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return "", history
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def
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# Check if there are new messages
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if len(messages) > len(history):
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return [f"User_{msg.user_id[:4]}: {msg.message} ({msg.timestamp})" for msg in messages]
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# If no new messages, return the current history
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return history
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# Create the Gradio interface
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with gr.Blocks() as demo:
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msg.submit(chat, [msg, chatbot], [msg, chatbot])
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clear.click(lambda: [], outputs=[chatbot])
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if __name__ == "__main__":
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demo.launch()
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import gradio as gr
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from huggingface_hub import HfApi
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import os
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api = HfApi()
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def upload_video(video):
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# Save the uploaded video to a temporary file
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video_path = os.path.join("temp", video.name)
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with open(video_path, "wb") as f:
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f.write(video.read())
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# Upload the video to Hugging Face
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api.upload_file(
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path_or_fileobj=video_path,
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path_in_repo=f"/videos/{video.name}",
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repo_id="vericudebuget/ok4231",
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repo_type="space",
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)
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return f"Uploaded {video.name} successfully!"
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def progress_bar(video):
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return f"Uploading {video.name}..."
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with gr.Blocks() as demo:
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video_input = gr.File(label="Upload Video")
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progress = gr.Textbox(label="Progress")
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output = gr.Textbox(label="Output")
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video_input.change(progress_bar, inputs=video_input, outputs=progress)
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video_input.upload(upload_video, inputs=video_input, outputs=output)
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demo.launch()
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