Update backupapp.py
Browse files- backupapp.py +77 -0
backupapp.py
CHANGED
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@@ -86,6 +86,64 @@ def predict(inputs, top_p, temperature, chat_counter, chatbot=[], history=[]):
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def reset_textbox():
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return gr.update(value='')
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title = """<h1 align="center">Memory Chat Story Generator ChatGPT</h1>"""
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description = """
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## ChatGPT Datasets π
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@@ -123,6 +181,25 @@ with gr.Blocks(css = """#col_container {width: 1400px; margin-left: auto; margin
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temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",)
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chat_counter = gr.Number(value=0, visible=True, precision=0)
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inputs.submit(predict, [inputs, top_p, temperature,chat_counter, chatbot, state], [chatbot, state, chat_counter])
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b1.click(predict, [inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter])
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b1.click(reset_textbox, [], [inputs])
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def reset_textbox():
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return gr.update(value='')
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# Episodic and Semantic IO
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def list_files(file_path):
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import os
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icon_csv = "π "
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icon_txt = "π "
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current_directory = os.getcwd()
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file_list = []
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for filename in os.listdir(current_directory):
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if filename.endswith(".csv"):
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file_list.append(icon_csv + filename)
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elif filename.endswith(".txt"):
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file_list.append(icon_txt + filename)
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if file_list:
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return "\n".join(file_list)
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else:
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return "No .csv or .txt files found in the current directory."
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# Function to read a file
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def read_file(file_path):
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try:
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with open(file_path, "r") as file:
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contents = file.read()
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return f"{contents}"
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#return f"Contents of {file_path}:\n{contents}"
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except FileNotFoundError:
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return "File not found."
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# Function to delete a file
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def delete_file(file_path):
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try:
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import os
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os.remove(file_path)
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return f"{file_path} has been deleted."
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except FileNotFoundError:
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return "File not found."
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# Function to write to a file
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def write_file(file_path, content):
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try:
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with open(file_path, "w") as file:
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file.write(content)
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return f"Successfully written to {file_path}."
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except:
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return "Error occurred while writing to file."
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# Function to append to a file
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def append_file(file_path, content):
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try:
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with open(file_path, "a") as file:
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file.write(content)
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return f"Successfully appended to {file_path}."
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except:
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return "Error occurred while appending to file."
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title = """<h1 align="center">Memory Chat Story Generator ChatGPT</h1>"""
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description = """
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## ChatGPT Datasets π
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temperature = gr.Slider( minimum=-0, maximum=5.0, value=1.0, step=0.1, interactive=True, label="Temperature",)
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chat_counter = gr.Number(value=0, visible=True, precision=0)
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# Episodic/Semantic IO
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fileName = gr.Textbox(label="Filename")
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fileContent = gr.TextArea(label="File Content")
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completedMessage = gr.Textbox(label="Completed")
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label = gr.Label()
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with gr.Row():
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listFiles = gr.Button("π List File(s)")
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readFile = gr.Button("π Read File")
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saveFile = gr.Button("πΎ Save File")
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deleteFile = gr.Button("ποΈ Delete File")
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appendFile = gr.Button("β Append File")
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listFiles.click(list_files, inputs=fileName, outputs=fileContent)
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readFile.click(read_file, inputs=fileName, outputs=fileContent)
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saveFile.click(write_file, inputs=[fileName, fileContent], outputs=completedMessage)
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deleteFile.click(delete_file, inputs=fileName, outputs=completedMessage)
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appendFile.click(append_file, inputs=[fileName, fileContent], outputs=completedMessage )
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inputs.submit(predict, [inputs, top_p, temperature,chat_counter, chatbot, state], [chatbot, state, chat_counter])
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b1.click(predict, [inputs, top_p, temperature, chat_counter, chatbot, state], [chatbot, state, chat_counter])
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b1.click(reset_textbox, [], [inputs])
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