Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -3,20 +3,14 @@ import base64
|
|
| 3 |
import json
|
| 4 |
from datetime import datetime
|
| 5 |
import traceback
|
| 6 |
-
# Removed unused typing import: from typing import Dict, Any
|
| 7 |
|
| 8 |
import gradio as gr
|
| 9 |
from huggingface_hub import HfApi, InferenceClient
|
| 10 |
-
# The FastMCP object is automatically initialized when you call app.launch(mcp_server=True)
|
| 11 |
-
# You don't need to manually instantiate FastMCP if only using Gradio's integration.
|
| 12 |
-
# from fastmcp import FastMCP # Removed manual import/instantiation
|
| 13 |
from pydantic import BaseModel, Field
|
| 14 |
|
| 15 |
HF_DATASET_REPO = os.environ.get("HF_DATASET_REPO", "OppaAI/Robot_MCP")
|
| 16 |
HF_VLM_MODEL = os.environ.get("HF_VLM_MODEL", "Qwen/Qwen2.5-VL-7B-Instruct")
|
| 17 |
|
| 18 |
-
# mcp = FastMCP("Robot_MCP_Server") # Removed this line
|
| 19 |
-
|
| 20 |
# ---------------------------------------------------
|
| 21 |
# Payload Schema (Remains the same as it already expects image_b64)
|
| 22 |
# ---------------------------------------------------
|
|
|
|
| 3 |
import json
|
| 4 |
from datetime import datetime
|
| 5 |
import traceback
|
|
|
|
| 6 |
|
| 7 |
import gradio as gr
|
| 8 |
from huggingface_hub import HfApi, InferenceClient
|
|
|
|
|
|
|
|
|
|
| 9 |
from pydantic import BaseModel, Field
|
| 10 |
|
| 11 |
HF_DATASET_REPO = os.environ.get("HF_DATASET_REPO", "OppaAI/Robot_MCP")
|
| 12 |
HF_VLM_MODEL = os.environ.get("HF_VLM_MODEL", "Qwen/Qwen2.5-VL-7B-Instruct")
|
| 13 |
|
|
|
|
|
|
|
| 14 |
# ---------------------------------------------------
|
| 15 |
# Payload Schema (Remains the same as it already expects image_b64)
|
| 16 |
# ---------------------------------------------------
|