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Update app.py
Browse files
app.py
CHANGED
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@@ -16,13 +16,11 @@ APP_DESCRIPTION = """
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OpenAI-only teaching rig for building AI model UIs.
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• Uses GPT-5 for text generation.
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• Uses DALL·E 3 for image generation.
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• Lets you edit the system prompt, role, tone, and output format.
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• Provides sliders and controls to experiment with behavior.
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•
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NOTE: Some newer GPT-5 variants ignore temperature/top-p/penalty parameters.
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This app keeps the controls for teaching, and encodes their values into the instructions instead.
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"""
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DEFAULT_TEMPERATURE = 0.7
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@@ -66,7 +64,9 @@ def build_system_instructions(
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"""
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Build a system prompt string combining user-provided base instructions
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with role + format + tone + "virtual sampling" metadata.
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-
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"""
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role_map = {
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"General Assistant": "Behave as a highly capable, calm general-purpose AI assistant.",
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@@ -145,7 +145,7 @@ def history_to_openai_messages(
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return messages
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# -------------------------------------------------------------------
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#
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# -------------------------------------------------------------------
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def call_openai_text(
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@@ -158,9 +158,6 @@ def call_openai_text(
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- model
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- messages
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- max_completion_tokens
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-
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Newer GPT-5 variants may not support custom temperature/top_p/penalties,
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so we rely on the system prompt for behavior control instead.
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"""
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client = get_openai_client(openai_key)
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completion = client.chat.completions.create(
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@@ -171,27 +168,48 @@ def call_openai_text(
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return completion.choices[0].message.content
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def
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openai_key: Optional[str],
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prompt: str,
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size: str = "1024x1024",
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) -> Optional[Image.Image]:
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"""
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-
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"""
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client = get_openai_client(openai_key)
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img_bytes = base64.b64decode(img_data)
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return Image.open(BytesIO(img_bytes))
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# -------------------------------------------------------------------
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# Starter Prompts
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@@ -224,6 +242,67 @@ STARTER_PROMPTS = {
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def get_starter_prompt(choice: str) -> str:
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return STARTER_PROMPTS.get(choice, "")
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# -------------------------------------------------------------------
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# Core Chat Logic
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# -------------------------------------------------------------------
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@@ -241,13 +320,16 @@ def agent_assembler_chat(
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max_tokens: int,
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presence_penalty: float,
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frequency_penalty: float,
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-
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image_style: str,
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image_aspect: str,
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) -> Tuple[List[Dict[str, str]], Optional[Image.Image]]:
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"""
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Main callback: GPT-5 text + optional
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"""
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if not user_message.strip():
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return chat_history, None
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@@ -271,7 +353,7 @@ def agent_assembler_chat(
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system_instructions=system_instructions,
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)
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# Call GPT-5
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try:
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ai_reply = call_openai_text(
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openai_key=openai_key_ui,
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@@ -292,10 +374,13 @@ def agent_assembler_chat(
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{"role": "assistant", "content": ai_reply},
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]
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#
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generated_image: Optional[Image.Image] = None
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if
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# Map aspect label to
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aspect_to_size = {
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"Square (1:1)": "1024x1024",
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"Portrait (9:16)": "1024x1792",
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@@ -311,17 +396,24 @@ def agent_assembler_chat(
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)
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try:
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generated_image =
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openai_key=openai_key_ui,
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prompt=image_prompt,
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size=size,
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)
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except Exception as e:
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# Attach error note to latest assistant message
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if chat_history and chat_history[-1].get("role") == "assistant":
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chat_history[-1]["content"] += (
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f"\n\n_Image generation failed: `{e}`. "
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"Check your OpenAI key and dalle-3 availability._"
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)
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return chat_history, generated_image
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@@ -367,7 +459,7 @@ def build_interface() -> gr.Blocks:
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height=520,
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)
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image_out = gr.Image(
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label="Latest Generated Image (DALL·E 3)",
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height=320,
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interactive=False,
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)
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value="Neutral",
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)
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gr.Markdown("## Sampling (Experiment Zone)"
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temperature = gr.Slider(
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label="Temperature (creativity / randomness)",
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step=0.1,
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)
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gr.Markdown("## Image Generation
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label="
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value=False,
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)
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@@ -529,7 +622,7 @@ def build_interface() -> gr.Blocks:
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max_tokens,
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presence_penalty,
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frequency_penalty,
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-
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image_style,
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image_aspect,
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],
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@@ -556,7 +649,7 @@ def build_interface() -> gr.Blocks:
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max_tokens,
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presence_penalty,
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frequency_penalty,
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-
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image_style,
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image_aspect,
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],
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OpenAI-only teaching rig for building AI model UIs.
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• Uses GPT-5 for text generation.
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• Uses DALL·E 3 (with fallback to gpt-image-1) for image generation.
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• Lets you edit the system prompt, role, tone, and output format.
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• Provides sliders and controls to experiment with behavior.
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• Automatically generates images when the user asks for one, with an option
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to always generate images as well.
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"""
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DEFAULT_TEMPERATURE = 0.7
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"""
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Build a system prompt string combining user-provided base instructions
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with role + format + tone + "virtual sampling" metadata.
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+
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We encode the slider settings as behavior hints because some GPT-5 variants
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do not accept temperature/top_p/penalties as API parameters.
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"""
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role_map = {
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"General Assistant": "Behave as a highly capable, calm general-purpose AI assistant.",
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return messages
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# -------------------------------------------------------------------
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# Text & Image Generation Helpers
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# -------------------------------------------------------------------
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def call_openai_text(
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- model
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- messages
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- max_completion_tokens
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"""
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client = get_openai_client(openai_key)
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completion = client.chat.completions.create(
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return completion.choices[0].message.content
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def call_openai_image_with_fallback(
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openai_key: Optional[str],
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prompt: str,
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size: str = "1024x1024",
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) -> Optional[Image.Image]:
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"""
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Try DALL·E 3 first. If it fails, fall back to gpt-image-1.
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We explicitly request base64 output and handle missing b64_json safely.
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"""
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client = get_openai_client(openai_key)
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last_error: Optional[Exception] = None
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for model_name in ["dall-e-3", "gpt-image-1"]:
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try:
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response = client.images.generate(
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model=model_name,
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prompt=prompt,
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size=size,
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n=1,
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quality="hd", # high quality
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response_format="b64_json", # ensure base64 output
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)
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if not response.data:
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continue
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b64 = getattr(response.data[0], "b64_json", None)
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if not b64:
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# No base64 data; try next model
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continue
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img_bytes = base64.b64decode(b64)
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return Image.open(BytesIO(img_bytes))
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except Exception as e:
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last_error = e
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# Try next model in the list if available
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continue
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if last_error:
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# Bubble up the last error so caller can log it or display a message
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raise last_error
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return None
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# -------------------------------------------------------------------
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# Starter Prompts
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def get_starter_prompt(choice: str) -> str:
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return STARTER_PROMPTS.get(choice, "")
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# -------------------------------------------------------------------
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# Image Intent Detection
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# -------------------------------------------------------------------
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def wants_image_from_text(text: str) -> bool:
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"""
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Heuristic to decide if the user is asking for an image.
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Triggers on phrases like:
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- "generate an image"
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- "create an image"
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- "make an image"
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- "image of"
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- "picture of"
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- "draw"
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- "illustration"
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- "infographic"
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- "poster"
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- "logo"
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- "cover art"
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- "thumbnail"
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But avoids when user explicitly says they do NOT want an image.
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"""
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t = text.lower()
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# Negative patterns
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negative_patterns = [
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"don't generate an image",
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"dont generate an image",
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"don't create an image",
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"dont create an image",
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"no image",
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"no images",
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"without an image",
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]
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if any(p in t for p in negative_patterns):
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return False
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positive_patterns = [
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"generate an image",
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"create an image",
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"make an image",
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"generate a picture",
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"create a picture",
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"picture of",
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"image of",
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"draw ",
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"draw an",
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"draw a",
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"illustration",
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"infographic",
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"poster",
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"logo",
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"cover art",
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"thumbnail",
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"album art",
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]
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return any(p in t for p in positive_patterns)
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+
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# -------------------------------------------------------------------
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# Core Chat Logic
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# -------------------------------------------------------------------
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max_tokens: int,
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presence_penalty: float,
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frequency_penalty: float,
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always_generate_image: bool,
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image_style: str,
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image_aspect: str,
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) -> Tuple[List[Dict[str, str]], Optional[Image.Image]]:
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"""
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Main callback: GPT-5 text + optional image generation.
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- Detects image intent from user text automatically.
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- Optionally always generates an image if the toggle is on.
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- chat_history is a list of messages: [{role, content}, ...]
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"""
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if not user_message.strip():
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return chat_history, None
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system_instructions=system_instructions,
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)
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# Call GPT-5
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try:
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ai_reply = call_openai_text(
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openai_key=openai_key_ui,
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{"role": "assistant", "content": ai_reply},
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]
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# Decide whether to generate an image
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auto_image = wants_image_from_text(user_message)
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should_generate_image = always_generate_image or auto_image
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generated_image: Optional[Image.Image] = None
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if should_generate_image:
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# Map aspect label to image size
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aspect_to_size = {
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"Square (1:1)": "1024x1024",
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"Portrait (9:16)": "1024x1792",
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)
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try:
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generated_image = call_openai_image_with_fallback(
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openai_key=openai_key_ui,
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prompt=image_prompt,
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size=size,
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)
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if generated_image is None:
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# No explicit exception but no image either
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if chat_history and chat_history[-1].get("role") == "assistant":
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chat_history[-1]["content"] += (
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"\n\n_Image generation returned no data. "
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"Check your OpenAI key and image model availability._"
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)
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except Exception as e:
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# Attach error note to latest assistant message
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if chat_history and chat_history[-1].get("role") == "assistant":
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chat_history[-1]["content"] += (
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f"\n\n_Image generation failed: `{e}`. "
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"Check your OpenAI key and dalle-3 / gpt-image-1 availability._"
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)
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return chat_history, generated_image
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height=520,
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)
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image_out = gr.Image(
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label="Latest Generated Image (DALL·E 3 / gpt-image-1)",
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height=320,
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interactive=False,
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)
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value="Neutral",
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)
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gr.Markdown("## Sampling (Experiment Zone)\n"
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"These are teaching controls; for some GPT-5 variants they only influence behavior via the system prompt.")
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temperature = gr.Slider(
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label="Temperature (creativity / randomness)",
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step=0.1,
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)
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gr.Markdown("## Image Generation")
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always_generate_image = gr.Checkbox(
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label="Always generate an image for each message (in addition to auto-detect intent)",
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value=False,
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)
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|
|
| 622 |
max_tokens,
|
| 623 |
presence_penalty,
|
| 624 |
frequency_penalty,
|
| 625 |
+
always_generate_image,
|
| 626 |
image_style,
|
| 627 |
image_aspect,
|
| 628 |
],
|
|
|
|
| 649 |
max_tokens,
|
| 650 |
presence_penalty,
|
| 651 |
frequency_penalty,
|
| 652 |
+
always_generate_image,
|
| 653 |
image_style,
|
| 654 |
image_aspect,
|
| 655 |
],
|