feat: add res

.gitattributes

@@ -33,3 +33,8 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.md filter=lfs diff=lfs merge=lfs -text
+*.py filter=lfs diff=lfs merge=lfs -text
+*.txt filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,14 +1,3 @@
----
-title: Alfred
-emoji: 💬
-colorFrom: yellow
-colorTo: purple
-sdk: gradio
-sdk_version: 5.0.1
-app_file: app.py
-pinned: false
-license: apache-2.0
-short_description: Alfred Demo
----
-
-An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).
+version https://git-lfs.github.com/spec/v1
+oid sha256:c44d044e074ff03b22bd5bba6429e266c26f3dea6c4e3cdf3abd9f70a7938439
+size 406

app.py

@@ -1,73 +1,3 @@
-from io import BytesIO
-import gradio as gr
-import pandas as pd
-import requests
-from matplotlib.image import imread
-
-
-ALFRED_URL = "http://192.168.1.202:8090"
-
-selected_columns = ["ecg_id", "patient_id", "age", "sex", "scp_codes", "report"]
-ptbxl_df = pd.read_csv("./res/ptbxl_database.csv")
-ptbxl_df = ptbxl_df[selected_columns]
-
-
-def get_ecg_id_from_dataframe(df: pd.DataFrame, evt: gr.SelectData):
-    return evt.row_value[0]
-
-
-def get_ecg_image_from_dataframe(ecg_id):
-    response = requests.post(
-        f"{ALFRED_URL}/hf_demo/ptbxl_to_image",
-        params={"ecg_id": ecg_id},
-    )
-    response.raise_for_status()
-    return imread(BytesIO(response.content))
-
-
-def get_alfred_from_dataframe(ecg_id):
-    response = requests.post(
-        f"{ALFRED_URL}/hf_demo/alfred",
-        params={"ecg_id": ecg_id},
-    )
-    response.raise_for_status()
-    return response.json()
-
-
-with gr.Blocks() as demo:
-    with gr.Tab("Example"):
-        with gr.Row():
-            gr_df = gr.Image(
-                value="./res/example.png",
-                interactive=False,
-                type="filepath",
-                label="This is an example screen. The service is not fully operational yet due to DNS issues. Please wait a moment.",
-            )
-
-    with gr.Tab("Coming Soon"):
-        with gr.Row():
-            gr_df = gr.Dataframe(
-                value=ptbxl_df,
-                interactive=False,
-                max_height=200,
-                label="All PTB-XL v1.3.0 data (https://physionet.org/content/ptb-xl/1.0.3/ptbxl_database.csv). You can refer to the following URL(https://physionet.org/content/ptb-xl/1.0.3/scp_statements.csv) to understand what 'scp_codes' represent.",
-            )
-
-        with gr.Row():
-            ecg_id_output = gr.Textbox(label="The selected ecg_id is")
-
-        with gr.Row():
-            ecg_viewer = gr.Image(interactive=False, label="The selected ecg is")
-
-        with gr.Row():
-            alfred_result = gr.JSON(value={}, label="Alfred said that")
-
-        gr_df.select(fn=get_ecg_id_from_dataframe, inputs=gr_df, outputs=ecg_id_output)
-        ecg_id_output.change(
-            fn=get_ecg_image_from_dataframe, inputs=ecg_id_output, outputs=ecg_viewer
-        )
-        ecg_id_output.change(
-            fn=get_alfred_from_dataframe, inputs=ecg_id_output, outputs=alfred_result
-        )
-
-demo.launch()
+version https://git-lfs.github.com/spec/v1
+oid sha256:d6359e262aae36aec6373e8eb20498628b038369563ee54db01a9532f33db93d
+size 2356

requirements.txt

@@ -1,3 +1,3 @@
-huggingface_hub==0.25.2
-gradio==5.8.0
-matplotlib==3.9.3
+version https://git-lfs.github.com/spec/v1
+oid sha256:bfbc47c2455bc1a306bb2ee618c96b9bc1c325ff8314f0e49ee93454726553d9
+size 55

res/ptbxl_database.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7600de9c1b27d181d850b3c6038a35d7c3ddb6bb33b702e3a20252a6859d216b
+size 6594879