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Update app.py
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app.py
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import gradio as gr
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import requests
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# --- 配置資訊 ---
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API_KEY = "d72ef10876b9403a9479c6e31f27a4be".strip()
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UPLOAD_URL = "https://www.runninghub.cn/task/openapi/upload"
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HEADERS = {"Host": "www.runninghub.cn"}
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# --- 核心函式 ---
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def
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if image_path is None:
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return "請先上傳圖片!"
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try:
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with open(image_path, "rb") as f:
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files = {"file": f}
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data = {
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result = response.json()
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print(result) # 除錯用
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else:
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return f"上傳失敗!訊息: {result.get('msg')}"
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except requests.exceptions.RequestException as e:
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return f"連線錯誤: {e}"
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# --- Gradio 介面 ---
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with gr.Blocks() as demo:
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gr.Markdown("# RunningHub
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gr.Markdown("上傳
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if __name__ == "__main__":
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demo.launch(share=True)
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import gradio as gr
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import requests
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import json
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import time
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# --- 配置資訊 ---
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API_KEY = "d72ef10876b9403a9479c6e31f27a4be".strip()
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WORKFLOW_ID = "1958842411961233410" # 你的工作流ID
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UPLOAD_URL = "https://www.runninghub.cn/task/openapi/upload"
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CREATE_TASK_URL = "https://www.runninghub.cn/task/openapi/create"
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GET_TASK_INFO_URL = "https://www.runninghub.cn/task/openapi/getTaskInfo"
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HEADERS = {"Host": "www.runninghub.cn"}
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# 你的工作流節點 ID
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LOAD_IMAGE_NODE_ID = "141"
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POSITIVE_PROMPT_NODE_ID = "144"
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SEED_NODE_ID = "132"
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# --- 核心函式 ---
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def process_image_workflow(image_path, positive_prompt, seed=-1):
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"""
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1. 上傳圖片
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2. 建立 RunningHub 工作流任務
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3. 輪詢任務狀態
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4. 返回生成圖片
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"""
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if image_path is None:
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return "請先上傳圖片!", None
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# --- 步驟 1: 上傳圖片 ---
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yield "正在上傳圖片...", None
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try:
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with open(image_path, "rb") as f:
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files = {"file": f}
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data = {"apiKey": API_KEY, "fileType": "image"}
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upload_response = requests.post(UPLOAD_URL, headers=HEADERS, data=data, files=files)
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upload_response.raise_for_status()
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upload_data = upload_response.json()
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print(upload_data) # 除錯
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if upload_data.get("code") != 0:
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return f"圖片上傳失敗!訊息: {upload_data.get('msg')}", None
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rh_image_path = upload_data["data"]["fileName"]
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yield f"圖片上傳成功!fileName: {rh_image_path}", None
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except requests.exceptions.RequestException as e:
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return f"上傳連線錯誤: {e}", None
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# --- 步驟 2: 建立工作流任務 ---
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yield "正在建立任務...", None
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node_info_list = [
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{"nodeId": LOAD_IMAGE_NODE_ID, "fieldName": "image", "fieldValue": rh_image_path},
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{"nodeId": POSITIVE_PROMPT_NODE_ID, "fieldName": "ShowText_0", "fieldValue": positive_prompt},
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{"nodeId": SEED_NODE_ID, "fieldName": "seed", "fieldValue": seed}
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]
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payload = {"apiKey": API_KEY, "workflowId": WORKFLOW_ID, "nodeInfoList": node_info_list}
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try:
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create_response = requests.post(CREATE_TASK_URL, headers={"Content-Type": "application/json"}, data=json.dumps(payload))
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create_response.raise_for_status()
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create_data = create_response.json()
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if create_data.get("code") != 0:
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return f"任務建立失敗!訊息: {create_data.get('msg')}", None
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task_id = create_data["data"]["taskId"]
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yield f"任務建立成功!TaskID: {task_id}", None
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except requests.exceptions.RequestException as e:
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return f"任務建立連線錯誤: {e}", None
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# --- 步驟 3: 輪詢任務狀態 ---
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max_retries = 30
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retry_interval = 5
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for i in range(max_retries):
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yield f"查詢任務狀態... (第 {i+1} 次)", None
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time.sleep(retry_interval)
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try:
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status_payload = {"apiKey": API_KEY, "taskId": task_id}
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status_response = requests.post(GET_TASK_INFO_URL, headers={"Content-Type": "application/json"}, data=json.dumps(status_payload))
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status_response.raise_for_status()
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status_data = status_response.json()
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current_status = status_data["data"]["taskStatus"]
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if current_status == "SUCCESS":
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image_url = status_data["data"]["imageInfoList"][0]["fileUrl"]
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yield f"任務完成!", image_url
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return f"任務完成!", image_url
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elif current_status == "FAILED":
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error_msg = status_data.get("data", {}).get("errorMsg", "Unknown error")
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yield f"任務失敗!錯誤訊息: {error_msg}", None
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return f"任務失敗!錯誤訊息: {error_msg}", None
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except requests.exceptions.RequestException as e:
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yield f"查詢連線錯誤: {e}", None
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return f"查詢連線錯誤: {e}", None
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yield "任務查詢超時,請使用 TaskID 手動查詢。", None
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return "任務查詢超時,請使用 TaskID 手動查詢。", None
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# --- Gradio 介面 ---
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with gr.Blocks() as demo:
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gr.Markdown("# RunningHub 工作流圖生圖")
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gr.Markdown("上傳圖片,輸入正向提示詞與種子值,啟動遠端工作流任務。")
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(type="filepath", label="上傳圖片")
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prompt_input = gr.Textbox(lines=3, label="正向提示詞 (Positive Prompt)", placeholder="輸入你想生成的內容...")
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seed_input = gr.Number(label="種子值 (Seed)", value=-1, precision=0)
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process_button = gr.Button("開始處理圖像")
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with gr.Column():
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status_output = gr.Textbox(label="任務狀態", interactive=False)
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image_output = gr.Image(label="生成圖片")
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process_button.click(
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fn=process_image_workflow,
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inputs=[image_input, prompt_input, seed_input],
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outputs=[status_output, image_output]
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)
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if __name__ == "__main__":
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demo.launch(share=True)
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