refactor: polish

README.md

@@ -1,3 +1,14 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:df70fffa17f98653691b65d8747a7ac774c1821762d08fc2fb6d8e0a1f2aec72
-size 364
+---
+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).

app.py

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-version https://git-lfs.github.com/spec/v1
-oid sha256:c1f82802eea90339633ac3e8953ef85038ae8f939d94ec9f2685219b0fdf6bb6
-size 1711
+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()

requirements.txt

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