Spaces:
Running
Running
demo update
Browse files
app.py
CHANGED
@@ -3,85 +3,74 @@ 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:
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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.
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3.
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4.
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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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#
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with open('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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import shutil
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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
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"""
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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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#
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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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@@ -89,43 +78,36 @@ def create_pptx(api_key, instruction, model_name="gpt-4o", max_tokens=4096):
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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 SlidesLib 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 SlidesLib import *\n\n" + generated_code
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code_file =
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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(
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print(result.stdout)
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#
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files_after = list_files_in_directory(
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temp_files = files_after - files_before
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#
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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
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# , preview_image
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except subprocess.CalledProcessError as e:
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print(f"Attempt {attempt + 1} failed
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#
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print("All
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default_code = f"""
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from pptx import Presentation
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@@ -139,38 +121,48 @@ 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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# "--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
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except Exception as e:
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return f"An error occurred: {str(e)}", None
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finally:
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#
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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 = create_pptx(api_key, instruction)
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iface = gr.Interface(
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fn=gradio_demo,
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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=
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)
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-
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import openai
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import subprocess
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import base64
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import shutil
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import glob
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import uuid
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import time
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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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code_pieces = []
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while "```python" in text:
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st_idx = text.index("```python") + 10
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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:
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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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# Load the user instruction template
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with open('agent_no_image_new_lib.prompt', 'r') as f:
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INSTRUCTION = f.read()
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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 create_pptx(api_key, instruction, model_name="gpt-4o", max_tokens=4096):
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"""
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Generates a PPTX from instructions using GPT, isolating all new files
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in a unique directory so multiple requests don't conflict.
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"""
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unique_id = str(uuid.uuid4())[:8] # Short unique directory name
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working_dir = f"temp_work_{unique_id}" # e.g. temp_work_3f2b1d4c
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os.makedirs(working_dir, exist_ok=True)
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# The name of the PPTX we intend to produce
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pptx_path = os.path.join(working_dir, "output.pptx")
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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 an 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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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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files_before = list_files_in_directory(working_dir)
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# Try up to 3 times to generate code and run it
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for attempt in range(3):
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try:
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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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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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# Replace references to other library with local SlidesLib
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generated_code = generated_code.replace("from library import", "from SlidesLib 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 SlidesLib import *\n\n" + generated_code
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code_file = os.path.join(working_dir, "generated_slide_code.py")
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with open(code_file, "w", encoding="utf-8") 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(
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["python", code_file],
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capture_output=True,
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text=True,
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check=True,
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cwd=working_dir
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)
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print(result.stdout)
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# Check for newly created files
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files_after = list_files_in_directory(working_dir)
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temp_files = files_after - files_before
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# If successful, return
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return "Slide generated successfully! Download your slide below.", pptx_path
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except subprocess.CalledProcessError as e:
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print(f"Attempt {attempt + 1} failed:\n{e.stderr}\n")
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# If all attempts fail, run default code
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print("All 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.save("output.pptx")
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"""
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code_file = os.path.join(working_dir, "default_slide_code.py")
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with open(code_file, "w", encoding="utf-8") as f:
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f.write(default_code)
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subprocess.run(
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["python", code_file],
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capture_output=True,
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text=True,
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check=True,
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cwd=working_dir
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)
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return "Default slide generated after 3 attempts failed.", pptx_path
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except Exception as e:
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return f"An error occurred: {str(e)}", None
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finally:
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# We won't automatically delete the working_dir here if we want the user
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# to be able to download the pptx. Otherwise, we could do cleanup.
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pass
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def gradio_demo(api_key, instruction):
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"""
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The Gradio demo function. It calls create_pptx, returns
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the status string, and the path to the PPTX file.
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"""
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# 1) Important: Warn the user about key usage.
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if not api_key:
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return ("Warning: No OpenAI API key provided. Please provide a valid key "
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"to generate slides."), None
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else:
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# Additional caution about potential key leaks
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warning_message = (
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"Caution: Your OpenAI API key is used to generate the slide. "
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"Make sure you trust this environment, as keys can appear in logs. "
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"We recommend using a disposable or restricted-scope key if possible.\n"
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)
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status, pptx_path = create_pptx(api_key, instruction)
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# Prepend the warning to the final status
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return f"{warning_message}\n{status}", pptx_path
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iface = gr.Interface(
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fn=gradio_demo,
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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", lines=5),
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gr.File(label="Download Slide"),
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],
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title="AutoPresent",
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description=(
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"Automatically Generate a presentation slide.\n\n"
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"**WARNING**: Please be cautious with your OpenAI API key. "
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"Logs or server code might store it temporarily."
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)
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)
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if __name__ == "__main__":
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iface.launch()
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