Debug 5

app.py

@@ -5,35 +5,55 @@ from io import StringIO
 
 import gradio as gr
 
-
 # def predict(text: str) -> Dict:
 #     return {"alive": 0.9, "death": 0.1}
     
-
-example_list = [[1.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
-
-# Create title, description and article strings
-title = "This is title."
-description = "This is description."
-article = "This is article."
-
-default_csv = "Phase,Activity,Start date,End date\n\"Mapping the Field\",\"Literature review\",2024-01-01,2024-01-31"
-
-def process_csv_text(temp_file):
-    if isinstance(temp_file, str):
-        print("1")
-        df = pd.read_csv(temp_file, header = "infer", sep = ",", encoding = "utf-8")
-    else:
-        print("2")
-        df = pd.read_csv(temp_file.name)
-    print("***")
-    print(df)
-    print("***")
-    return df
+# example_list = [[1.0, 1.0, 0.0], [1.0, 0.0, 0.0], [0.0, 0.0, 0.0]]
+
+# # Create title, description and article strings
+# title = "This is title."
+# description = "This is description."
+# article = "This is article."
+
+# default_csv = "Phase,Activity,Start date,End date\n\"Mapping the Field\",\"Literature review\",2024-01-01,2024-01-31"
+
+# def process_csv_text(temp_file):
+#     if isinstance(temp_file, str):
+#         print("1")
+#         df = pd.read_csv(temp_file, header = "infer", sep = ",", encoding = "utf-8")
+#     else:
+#         print("2")
+#         df = pd.read_csv(temp_file.name)
+#     print("***")
+#     print(df)
+#     print("***")
+#     return df
+
+# with gr.Blocks() as demo:
+#     upload_button = gr.UploadButton(label="Upload Timetable", file_types = ['.csv'], file_count = "single")    
+#     table = gr.Dataframe(headers=["Phase", "Activity", "Start date", "End date"], type="pandas", col_count=4)
+#     upload_button.upload(fn=process_csv_text, inputs=upload_button, outputs=table, api_name="upload_csv")
+
+# demo.launch(debug=True)
 
 with gr.Blocks() as demo:
-    upload_button = gr.UploadButton(label="Upload Timetable", file_types = ['.csv'], file_count = "single")    
-    table = gr.Dataframe(headers=["Phase", "Activity", "Start date", "End date"], type="pandas", col_count=4)
-    upload_button.upload(fn=process_csv_text, inputs=upload_button, outputs=table, api_name="upload_csv")
-
+    with gr.Row():
+        with gr.Column():
+            with gr.Row():
+                patient_upload_btn = gr.UploadButton(label="Upload A Patient", 
+                                                     file_types = ['.csv'],
+                                                     file_count = "single")
+            with gr.Row():
+                with gr.Column():
+                    patient_1_input_btn = gr.Button("Patient 1")
+                    patient_1_download_btn = gr.DownloadButton("Download 1")
+                with gr.Column():
+                    patient_2_input_btn = gr.Button("Patient 2")
+                    patient_2_download_btn = gr.DownloadButton("Download 2")
+                with gr.Column():
+                    patient_3_input_btn = gr.Button("Patient 3")
+                    patient_3_download_btn = gr.DownloadButton("Download 3")
+        with gr.Column(scale=4):
+            btn1 = gr.Button("Button 1")
+    
 demo.launch(debug=True)