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add app
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app.py
ADDED
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import gradio as gr
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import os
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import openai
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import subprocess
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import base64
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def encode_image(image_path):
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with open(image_path, 'rb') as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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def extract_code_pieces(text: str, concat: bool = True) -> list[str]:
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"""Extract code pieces from a text string.
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Args:
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text: str, model prediciton text.
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Rets:
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code_pieces: list[str], code pieces in the text.
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"""
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code_pieces = []
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while "```python" in text:
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st_idx = text.index("```python") + 10
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# end_idx = text.index("```", st_idx)
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if "```" in text[st_idx:]:
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end_idx = text.index("```", st_idx)
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else:
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end_idx = len(text)
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code_pieces.append(text[st_idx:end_idx].strip())
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text = text[end_idx+3:].strip()
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if concat: return '\n\n'.join(code_pieces)
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return code_pieces
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SYSTEM_MESSAGE = """* You are an expert presentation slides designer who creates modern, fashionable, and stylish slides using Python code. Your job is to generate the required PPTX slide by writing and executing a Python script. Make sure to follow the guidelines below and do not skip any of them:
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1. Ensure your code can successfully execute. If needed, you can also write tests to verify your code.
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2. Maintain proper spacing and arrangements of elements in the slide: make sure to keep sufficient spacing between different elements; do not make elements overlap or overflow to the slide page.
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3. Carefully select the colors of text, shapes, and backgrounds, to ensure all contents are readable.
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4. The slides should not look empty or incomplete. When filling the content in the slides, maintain good design and layout."""
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# INSTRUCTION = """Follow the instruction below to create the slide.
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# If the instruction is long and specific, follow the instruction carefully and add all elements as required;
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# if it is short and concise, you will need to create some content (text, image, layout) and implement it into the slide.
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# {}
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# Finally, your code should save the pptx file to path "{}"."""
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with open('SlidesAgent/presenter/prompts/agent_no_image_new_lib.prompt', 'r') as f:
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INSTRUCTION = f.read()
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import glob
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import time
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def list_files_in_directory(directory):
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"""Lists all files in the given directory."""
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return set(glob.glob(os.path.join(directory, "*")))
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def cleanup_temp_files(temp_files):
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"""Deletes a list of temporary files if they exist."""
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for temp_file in temp_files:
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try:
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if os.path.exists(temp_file):
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os.remove(temp_file)
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print(f"Deleted temporary file: {temp_file}")
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except Exception as e:
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print(f"Failed to delete {temp_file}: {e}")
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def create_pptx(api_key, instruction, model_name="gpt-4o", max_tokens=4096):
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try:
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# Set OpenAI API key
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openai.api_key = api_key
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# Create OpenAI client
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client = openai.OpenAI(api_key=api_key)
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# Prepare messages for the chat completion
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messages = [{"role": "system", "content": SYSTEM_MESSAGE}]
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pptx_path = "output.pptx"
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instruction_message = INSTRUCTION.replace("INSERT_INSTRUCTION_HERE", instruction)
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messages.append({"role": "user", "content": instruction_message})
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# Capture the directory state before execution
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working_directory = os.getcwd()
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files_before = list_files_in_directory(working_directory)
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# Retry up to 3 times
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for attempt in range(3):
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try:
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# Call OpenAI's GPT model
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response = client.chat.completions.create(
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model=model_name,
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messages=messages,
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max_tokens=max_tokens,
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n=1,
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)
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generated_code = extract_code_pieces(response.choices[0].message.content, concat=True)
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generated_code = generated_code.replace("from library import", "from mysearchlib import")
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generated_code = generated_code.replace("generate_image(", f"generate_image({repr(api_key)},")
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generated_code = "from mysearchlib import *\n\n" + generated_code
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# Save the generated code
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code_file = "generated_slide_code.py"
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with open(code_file, "w") as f:
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f.write(generated_code)
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# Execute the generated code
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result = subprocess.run(["python", code_file], capture_output=True, text=True, check=True)
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print(result.stdout)
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# Capture the directory state after execution
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files_after = list_files_in_directory(working_directory)
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temp_files = files_after - files_before # Identify newly created files
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# Convert the pptx to jpg for preview
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preview_image = "image_previews/output.jpg"
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command = [
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"libreoffice",
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"--headless",
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"--convert-to", "jpg",
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"--outdir", "image_previews",
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pptx_path
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]
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subprocess.run(command)
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temp_files.add(preview_image)
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# If successful, return the result
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return "Slide generated successfully! Download your slide below.", pptx_path, preview_image
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except subprocess.CalledProcessError as e:
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print(f"Attempt {attempt + 1} failed: {e.stderr}")
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# Fallback: Use default code if all attempts fail
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print("All 3 attempts failed. Running default code.")
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default_code = f"""
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from pptx import Presentation
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ppt = Presentation()
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slide = ppt.slides.add_slide(ppt.slide_layouts[5])
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title = slide.shapes.title
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title.text = "Insert Title Here"
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content = slide.placeholders[0]
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content.text = "{instruction}"
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ppt.save("output.pptx")
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"""
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code_file = "default_slide_code.py"
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with open(code_file, "w") as f:
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f.write(default_code)
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# Execute the default code
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subprocess.run(["python", code_file], capture_output=True, text=True, check=True)
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# Convert the pptx to jpg for preview
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preview_image = "image_previews/output.jpg"
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command = [
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"libreoffice",
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"--headless",
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"--convert-to", "jpg",
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"--outdir", "image_previews",
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pptx_path
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]
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subprocess.run(command)
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return "Default slide generated after 3 attempts failed.", pptx_path, preview_image
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except Exception as e:
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return f"An error occurred: {str(e)}", None, None
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finally:
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# Cleanup temporary files
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files_before.add("output.pptx")
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temp_files = list_files_in_directory(working_directory) - files_before
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cleanup_temp_files(temp_files)
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# Create a Gradio interface
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def gradio_demo(api_key, instruction):
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status, pptx_path, preview_image = create_pptx(api_key, instruction)
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return status, pptx_path, preview_image
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iface = gr.Interface(
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fn=gradio_demo,
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inputs=[
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gr.Textbox(label="OpenAI API Key", type="password"),
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gr.Textbox(label="Instruction", placeholder="Enter your slide instruction here...")
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],
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outputs=[
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gr.Textbox(label="Status"),
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gr.File(label="Download Slide"),
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gr.Image(label="Slide Preview", type="filepath")
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],
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title="AutoPresent",
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description="Automatically Generate a presentation slide"
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)
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if __name__ == "__main__":
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iface.launch(share=True)
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