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Update app.py
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app.py
CHANGED
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@@ -84,8 +84,25 @@ def safe_parse_json_from_text(text: str):
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# ---------------------------------------------------
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# TRUE MCP TOOL
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# ---------------------------------------------------
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hf_token = payload.hf_token
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image_b64 = payload.image_b64
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robot_id = payload.robot_id
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@@ -139,16 +156,17 @@ Respond in STRICT JSON ONLY:
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# ---------------------------------------------------
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# Gradio UI Placeholder
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# ---------------------------------------------------
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def
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return {"message": "Use an MCP Client to call the robot_watch tool."}
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app = gr.Interface(
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fn=
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inputs=gr.JSON(),
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outputs=gr.JSON(),
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title="Robot MCP Server",
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description="A MCP Server to describe image obtained from the CV of a robot/webcam."
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)
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if __name__ == "__main__":
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# ---------------------------------------------------
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# TRUE MCP TOOL
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# ---------------------------------------------------
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def robot_watch(payload: RobotWatchPayload):
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"""
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Analyze a base64-encoded image using a Hugging Face Vision-Language Model (VLM) and return structured JSON.
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Args:
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payload (RobotWatchPayload): A Pydantic model containing:
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- hf_token (str): Your Hugging Face API token.
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- robot_id (str): The unique identifier for the robot.
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- image_b64 (str): Base64 encoded image data.
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Returns:
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dict: A dictionary containing:
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- status (str): "success" or "error".
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- robot_id (str): The ID of the robot.
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- file_size_bytes (int): Size of the uploaded image in bytes.
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- image_url (str): URL of the uploaded image on Hugging Face dataset.
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- result (dict): Parsed JSON response from the VLM containing "description", "human", "environment", "objects".
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- vlm_raw (str): Raw string response from the VLM model.
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"""
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hf_token = payload.hf_token
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image_b64 = payload.image_b64
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robot_id = payload.robot_id
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# ---------------------------------------------------
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# Gradio UI Placeholder
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# ---------------------------------------------------
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def robot_watch(payload):
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return {"message": "Use an MCP Client to call the robot_watch tool."}
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app = gr.Interface(
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fn=robot_watch,
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inputs=gr.JSON(),
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outputs=gr.JSON(),
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title="Robot MCP Server",
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description="A MCP Server to describe image obtained from the CV of a robot/webcam.",
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api_name="predict"
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)
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if __name__ == "__main__":
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