Update app.py
Browse files
app.py
CHANGED
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@@ -6,11 +6,11 @@ import gradio as gr
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from dotenv import load_dotenv
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from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type
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-
# OpenAI SDK
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try:
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from openai import OpenAI
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from openai import RateLimitError, APIConnectionError, APIStatusError
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except Exception:
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OpenAI = None
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RateLimitError = APIConnectionError = APIStatusError = Exception # fallback
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@@ -27,7 +27,7 @@ class JobStatus:
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output_url: Optional[str] = None
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output_b64: Optional[str] = None
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# --------
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def _safe_video_path() -> str:
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return "/tmp/sora_output.mp4"
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@@ -67,7 +67,7 @@ def _make_client(user_key: Optional[str]) -> OpenAI:
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raise ValueError("Missing API key. Paste a valid OpenAI API key.")
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return OpenAI(api_key=key)
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# --------
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from requests import RequestException as ReqErr
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@retry(
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retry=retry_if_exception_type((ReqErr,)),
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@@ -98,10 +98,8 @@ def _videos_generate(client: OpenAI, **kwargs) -> Any:
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Dual-path: try Videos API; fallback to Jobs API.
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"""
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try:
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# Newer path
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return client.videos.generate(**kwargs)
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except Exception as e_a:
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# Fallback path
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try:
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return client.videos.jobs.create(**kwargs)
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except Exception as e_b:
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@@ -139,7 +137,7 @@ def _extract_status(resp: Any) -> JobStatus:
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return JobStatus(status=status, error=err, output_url=out_url, output_b64=out_b64)
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# --------
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def generate_video_stream(
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api_key: str,
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prompt: str,
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@@ -150,16 +148,16 @@ def generate_video_stream(
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audio: str,
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guidance: float,
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init_image: Optional[str],
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) -> Generator[Tuple[
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"""
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Generator that yields (
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-
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"""
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# 0) Setup
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try:
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client = _make_client(api_key)
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except Exception as e_init:
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yield
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return
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# 1) Validate inputs
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@@ -174,7 +172,7 @@ def generate_video_stream(
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if init_image:
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mt, _ = mimetypes.guess_type(init_image)
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if not (mt and mt.startswith("image/")):
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yield
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return
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req: Dict[str, Any] = {
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@@ -190,22 +188,22 @@ def generate_video_stream(
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if init_image:
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req["image"] = {"b64": _file_to_b64(init_image)}
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except Exception as e_val:
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yield
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return
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# 2) Submit job
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try:
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yield
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job = _videos_generate(client, **req)
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job_id = getattr(job, "id", None) or getattr(job, "job_id", None)
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if not job_id:
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yield
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return
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except _OAI_EXC as oe:
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yield
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return
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except Exception as e_submit:
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yield
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return
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# 3) Poll job
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@@ -216,17 +214,16 @@ def generate_video_stream(
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status_obj = _videos_retrieve(client, job_id)
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js = _extract_status(status_obj)
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except _OAI_EXC as oe:
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yield
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return
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except Exception as e_poll:
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yield
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return
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# Emit a heartbeat log every ~5s so UI stays alive
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now = time.time()
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if now - last_emit > 5:
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last_emit = now
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yield
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if js.status in ("succeeded", "completed", "complete"):
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out_path = _safe_video_path()
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@@ -236,33 +233,33 @@ def generate_video_stream(
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f.write(base64.b64decode(js.output_b64))
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yield out_path, f"Done with {model} ({size}, {duration}s)."
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except Exception as werr:
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yield
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return
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if js.output_url:
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# Try download; if it fails, return URL anyway (Gradio Video can play URLs)
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try:
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_download_stream(js.output_url, out_path)
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yield out_path, f"Downloaded from URL. Done with {model}."
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except Exception as dl_err:
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yield js.output_url, f"Ready (URL) — local download failed: {dl_err}"
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return
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yield
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return
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if js.status in ("failed", "error", "canceled", "cancelled"):
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detail = f"Status: {js.status}."
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if js.error:
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detail += f" Error: {js.error}"
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yield
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return
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if now - start > 1800: # 30 min timeout
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yield
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return
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time.sleep(2)
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-
# --------
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def build_ui():
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with gr.Blocks(title="ZEN — Sora / Sora-2 / Sora-2-Pro", theme=gr.themes.Soft()) as demo:
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gr.Markdown("## ZEN — Sora / Sora-2 / Sora-2-Pro (OpenAI Videos API)")
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@@ -293,17 +290,15 @@ def build_ui():
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video = gr.Video(label="Result", autoplay=True)
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status = gr.Textbox(label="Status / Logs", interactive=False)
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#
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go.click(
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fn=generate_video_stream,
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inputs=[api_key, prompt, model, duration, size, seed, audio, guidance, init_image],
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outputs=[video, status]
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queue=True
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)
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return demo
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demo = build_ui()
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demo.queue() # Compatible across 4.x/5.x
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if __name__ == "__main__":
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demo.launch()
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from dotenv import load_dotenv
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from tenacity import retry, stop_after_attempt, wait_exponential, retry_if_exception_type
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# -------- OpenAI SDK (guarded import) --------
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try:
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from openai import OpenAI
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from openai import RateLimitError, APIConnectionError, APIStatusError
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except Exception:
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OpenAI = None
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RateLimitError = APIConnectionError = APIStatusError = Exception # fallback
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output_url: Optional[str] = None
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output_b64: Optional[str] = None
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# -------- Utilities --------
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def _safe_video_path() -> str:
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return "/tmp/sora_output.mp4"
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raise ValueError("Missing API key. Paste a valid OpenAI API key.")
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return OpenAI(api_key=key)
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# -------- Networking --------
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from requests import RequestException as ReqErr
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@retry(
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retry=retry_if_exception_type((ReqErr,)),
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Dual-path: try Videos API; fallback to Jobs API.
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"""
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try:
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return client.videos.generate(**kwargs)
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except Exception as e_a:
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try:
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return client.videos.jobs.create(**kwargs)
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except Exception as e_b:
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return JobStatus(status=status, error=err, output_url=out_url, output_b64=out_b64)
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# -------- Core (STREAMING with gr.update) --------
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def generate_video_stream(
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api_key: str,
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prompt: str,
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audio: str,
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guidance: float,
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init_image: Optional[str],
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) -> Generator[Tuple[Any, str], None, None]:
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"""
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Generator that yields (video_component_value, status_text).
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Uses gr.update() to keep Gradio happy even when no video is ready yet.
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"""
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# 0) Setup
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try:
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client = _make_client(api_key)
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except Exception as e_init:
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yield gr.update(), f"Setup error: {e_init}"
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return
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# 1) Validate inputs
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if init_image:
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mt, _ = mimetypes.guess_type(init_image)
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if not (mt and mt.startswith("image/")):
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yield gr.update(), "Provided conditioning file isn’t an image."
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return
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req: Dict[str, Any] = {
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if init_image:
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req["image"] = {"b64": _file_to_b64(init_image)}
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except Exception as e_val:
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yield gr.update(), f"Validation error: {e_val}"
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return
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# 2) Submit job
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try:
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yield gr.update(), "Submitting job…"
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job = _videos_generate(client, **req)
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job_id = getattr(job, "id", None) or getattr(job, "job_id", None)
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if not job_id:
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yield gr.update(), "Could not get a job id from the API response."
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return
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except _OAI_EXC as oe:
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yield gr.update(), f"OpenAI API issue on submit: {oe}"
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return
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except Exception as e_submit:
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yield gr.update(), f"Submit error: {e_submit}\n{traceback.format_exc(limit=2)}"
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return
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# 3) Poll job
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status_obj = _videos_retrieve(client, job_id)
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js = _extract_status(status_obj)
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except _OAI_EXC as oe:
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yield gr.update(), f"OpenAI API issue on poll: {oe}"
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return
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except Exception as e_poll:
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yield gr.update(), f"Polling error: {e_poll}\n{traceback.format_exc(limit=2)}"
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return
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now = time.time()
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if now - last_emit > 5:
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last_emit = now
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yield gr.update(), f"Rendering… status={js.status}"
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if js.status in ("succeeded", "completed", "complete"):
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out_path = _safe_video_path()
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f.write(base64.b64decode(js.output_b64))
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yield out_path, f"Done with {model} ({size}, {duration}s)."
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except Exception as werr:
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yield gr.update(), f"Write error: {werr}"
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return
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if js.output_url:
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try:
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_download_stream(js.output_url, out_path)
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yield out_path, f"Downloaded from URL. Done with {model}."
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except Exception as dl_err:
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# Gradio Video can play URLs if local download fails
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yield js.output_url, f"Ready (URL) — local download failed: {dl_err}"
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return
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yield gr.update(), "Job succeeded but no video payload was returned."
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return
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if js.status in ("failed", "error", "canceled", "cancelled"):
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detail = f"Status: {js.status}."
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if js.error:
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detail += f" Error: {js.error}"
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yield gr.update(), detail
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return
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if now - start > 1800: # 30 min timeout
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yield gr.update(), "Timed out waiting for the video. Try shorter duration."
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return
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time.sleep(2)
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+
# -------- UI --------
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def build_ui():
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with gr.Blocks(title="ZEN — Sora / Sora-2 / Sora-2-Pro", theme=gr.themes.Soft()) as demo:
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gr.Markdown("## ZEN — Sora / Sora-2 / Sora-2-Pro (OpenAI Videos API)")
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video = gr.Video(label="Result", autoplay=True)
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status = gr.Textbox(label="Status / Logs", interactive=False)
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# Generator → always yields something visible
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go.click(
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fn=generate_video_stream,
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inputs=[api_key, prompt, model, duration, size, seed, audio, guidance, init_image],
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outputs=[video, status]
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)
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return demo
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demo = build_ui()
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if __name__ == "__main__":
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demo.launch()
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