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Update app.py
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app.py
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import random
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from gradio_client import Client
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import gradio as gr
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# List of
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servers = [
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"BICORP/GOGOGOGO",
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"BICORP/server-2",
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"BICORP/server-3",
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"BICORP/server-4",
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"BICORP/server-5"
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]
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#
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result = client.predict(
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message,
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model,
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preset,
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api_name="/chat"
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)
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return result
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except Exception as e:
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return f"Error: {str(e)}"
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# Dark mode CSS
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dark_css = """
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.gradio-container {
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background-color: #1e1e1e; /* Dark background */
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color: white; /* Light text color */
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}
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#chatbox {
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background-color: #2e2e2e; /* Dark chatbox */
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color: white; /* Light text color */
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}
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"""
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# Function to toggle dark mode
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def toggle_dark_mode(is_dark):
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return dark_css if is_dark else ""
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#
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def
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#
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preset = gr.Dropdown(choices=["Fast", "Normal", "Quality", "Unreal Performance"], label="Preset", value="Fast")
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dark_mode = gr.Checkbox(label="Enable Dark Mode", value=False)
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if message:
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response = call_api(message, model.value, preset.value)
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return f"You: {message}\nBot: {response}"
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return ""
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# Launch the interface
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if __name__ == "__main__":
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interface.launch()
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import random
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import gradio as gr
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from gradio_client import Client
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# List of server endpoints
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servers = [
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"BICORP/GOGOGOGO", # Server 1
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"BICORP/server-2", # Server 2
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"BICORP/server-3", # Server 3
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"BICORP/server-4", # Server 4
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"BICORP/server-5", # Server 5
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"BICORP/server-6" # Server 6
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]
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# Define presets for each model
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presets = {
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"Fast": "Fast",
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"Normal": "Normal",
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"Quality": "Quality",
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"Unreal Performance": "Unreal Performance"
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}
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# Function to respond to user input
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def respond(message, history: list, selected_model, selected_preset):
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# Randomly select a server
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server = random.choice(servers)
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client = Client(server)
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# Ensure history is a list of dictionaries
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messages = [{"role": "user", "content": message}]
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# Get the response from the model
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try:
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response = client.predict(
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message=message, # Required parameter
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param_2=selected_model, # Model selection
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param_3=selected_preset, # Preset selection
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api_name="/chat" # Ensure this is the correct API endpoint
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)
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return response # Return the response
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except Exception as e:
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return f"Error: {str(e)}" # Return the error message
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# Model names and their pseudonyms
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model_choices = [
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("Lake 1 Base", "Lake 1 Base") # Only one model as per your example
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]
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# Convert pseudonyms to model names for the dropdown
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pseudonyms = [model[0] for model in model_choices]
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# Function to handle model selection and pseudonyms
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def respond_with_pseudonym(message, history: list, selected_model, selected_preset):
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# Call the existing respond function
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response = respond(message, history, selected_model, selected_preset)
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return response
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# Gradio Chat Interface
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demo = gr.ChatInterface(
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fn=respond_with_pseudonym,
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additional_inputs=[
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gr.Dropdown(choices=pseudonyms, label="Select Model", value=pseudonyms[0]), # Pseudonym selection dropdown
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gr.Dropdown(choices=list(presets.keys()), label="Select Preset", value="Fast") # Preset selection dropdown
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],
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)
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if __name__ == "__main__":
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demo.launch()
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