Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -222,6 +222,55 @@ class App:
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else:
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return None, f"Error: Failed to parse action from NLP response\n"
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def run(self):
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self._print_welcome_message()
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@@ -261,30 +310,17 @@ class App:
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if system_message:
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print(system_message)
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def build_app(self):
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with gr.Blocks() as demo:
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for component in self.app_state["components"]:
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component_type = component["type"]
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properties = component["properties"]
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if component_type == "Button":
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gr.Button(value=properties["label"], variant="primary")
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elif component_type == "Text Input":
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gr.Textbox(label=properties["placeholder"])
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elif component_type == "Image":
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gr.Image(label=properties["alt"])
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elif component_type == "Dropdown":
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gr.Dropdown(choices=properties["choices"], label="Dropdown")
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return demo
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def launch_app(self):
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demo = self.build_app()
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demo.launch()
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def main():
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if __name__ == "__main__":
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main()
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else:
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return None, f"Error: Failed to parse action from NLP response\n"
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def build_app(self):
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with gr.Blocks() as demo:
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for component in self.app_state["components"]:
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component_type = component["type"]
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properties = component["properties"]
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if component_type == "Button":
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gr.Button(value=properties["label"], variant="primary")
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elif component_type == "Text Input":
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gr.Textbox(label=properties["placeholder"])
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elif component_type == "Image":
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gr.Image(label=properties["alt"])
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elif component_type == "Dropdown":
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gr.Dropdown(choices=properties["choices"], label="Dropdown")
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with gr.Tab("Components"):
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gr.Markdown("## Available Components")
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component_type = gr.Dropdown(label="Component Type", choices=list(self.components_registry.keys()))
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properties = gr.JSON(label="Properties")
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add_component_button = gr.Button("Add Component")
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add_component_button.click(
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self.add_component,
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inputs=[component_type, properties],
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outputs=[]
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)
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with gr.Tab("NLP Models"):
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gr.Markdown("## Available NLP Models")
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model_index = gr.Slider(label="Model Index", minimum=0, maximum=len(self.nlp_model_names)-1, step=1)
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input_text = gr.Textbox(label="Input Text")
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get_nlp_response_button = gr.Button("Get NLP Response")
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get_nlp_response_button.click(
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self.get_nlp_response,
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inputs=[input_text, model_index],
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outputs="text"
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with gr.Tab("Terminal"):
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gr.Markdown("## Terminal")
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terminal_input = gr.Textbox(label="Input")
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terminal_output = gr.Textbox(label="Output")
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run_terminal_command_button = gr.Button("Run Command")
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run_terminal_command_button.click(
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self.run_terminal_command,
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inputs=[terminal_input],
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outputs=[terminal_output]
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)
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return demo
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def run(self):
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self._print_welcome_message()
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if system_message:
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print(system_message)
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def launch_app(self):
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demo = self.build_app()
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demo.launch()
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def main():
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try:
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app = App()
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demo = app.build_app()
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demo.launch()
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except Exception as e:
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print(f"Error launching app: {e}")
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if __name__ == "__main__":
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main()
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