feature(#86): comment gradio due to hugging face old version

Brain/src/gradio_debug.py

@@ -1,47 +1,47 @@
 """gradio implementaion"""
-import gradio as gr
-import requests
-import json
-from gradio.components import Textbox, Number
-
-DEFAULT_UUID = "c40a09075d11940f"
-
-
-def gradio_send_notification(uuid: str, query: str):
-    url = "http://localhost:7860/sendNotification"
-    data = {
-        "confs": {
-            "openai_key": "",
-            "pinecone_key": "",
-            "pinecone_env": "",
-            "firebase_key": "",
-            "settings": {"temperature": 0.6},
-            "token": "eSyP3i7ITZuq8hWn2qutTl:APA91bH1FtWkaTSJwuX4WKWAl3Q-ZFyrOw4UtMP4IfwuvNrHOThH7EvEGIhtguilLRyQNlLiXatEN0xntHAc8bbKobSGjge3wxIHlspbIWY_855CzONqaVdl3y3zOmgKZNnuhYi4gwbh",
-            "uuid": uuid,
-        },
-        "message": query,
-    }
-
-    response = requests.post(
-        url, data=json.dumps(data), headers={"Content-Type": "application/json"}
-    )
-    response = response.json()
-    return json.dumps(response["result"]), response["status_code"]
-
-
-debug_send_notification = gr.Interface(
-    fn=gradio_send_notification,
-    inputs=[
-        Textbox(
-            label="UUID",
-            placeholder="Please input your UUID.",
-            value="c40a09075d11940f",
-        ),
-        Textbox(label="query", placeholder="Please input your prompt."),
-    ],
-    outputs=[
-        Textbox(label="Result"),
-        Number(label="Status Code"),
-    ],
-    allow_flagging="never",
-)
+# import gradio as gr
+# import requests
+# import json
+# from gradio.components import Textbox, Number
+#
+# DEFAULT_UUID = "c40a09075d11940f"
+#
+#
+# def gradio_send_notification(uuid: str, query: str):
+#     url = "http://localhost:7860/sendNotification"
+#     data = {
+#         "confs": {
+#             "openai_key": "",
+#             "pinecone_key": "",
+#             "pinecone_env": "",
+#             "firebase_key": "",
+#             "settings": {"temperature": 0.6},
+#             "token": "eSyP3i7ITZuq8hWn2qutTl:APA91bH1FtWkaTSJwuX4WKWAl3Q-ZFyrOw4UtMP4IfwuvNrHOThH7EvEGIhtguilLRyQNlLiXatEN0xntHAc8bbKobSGjge3wxIHlspbIWY_855CzONqaVdl3y3zOmgKZNnuhYi4gwbh",
+#             "uuid": uuid,
+#         },
+#         "message": query,
+#     }
+#
+#     response = requests.post(
+#         url, data=json.dumps(data), headers={"Content-Type": "application/json"}
+#     )
+#     response = response.json()
+#     return json.dumps(response["result"]), response["status_code"]
+#
+#
+# debug_send_notification = gr.Interface(
+#     fn=gradio_send_notification,
+#     inputs=[
+#         Textbox(
+#             label="UUID",
+#             placeholder="Please input your UUID.",
+#             value="c40a09075d11940f",
+#         ),
+#         Textbox(label="query", placeholder="Please input your prompt."),
+#     ],
+#     outputs=[
+#         Textbox(label="Result"),
+#         Number(label="Status Code"),
+#     ],
+#     allow_flagging="never",
+# )

app.py

@@ -32,11 +32,11 @@ app.include_router(construct_blueprint_train_api(), prefix="/train", tags=["ai_t
 
 # gradio
 
-CUSTOM_PATH = "/gradio"
-
-app = gr.mount_gradio_app(
-    app, debug_send_notification, path=f"{CUSTOM_PATH}/sendNotification"
-)
+# CUSTOM_PATH = "/gradio"
+#
+# app = gr.mount_gradio_app(
+#     app, debug_send_notification, path=f"{CUSTOM_PATH}/sendNotification"
+# )
 
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=7860)