Basic UI

app.py

@@ -1,122 +1,153 @@
-import csv
-import datetime
+# import csv
+# import datetime
+# import gradio as gr
+# import pandas as pd
+# from io import BytesIO
+# from pathlib import Path
+# from urllib.parse import urlparse
+
+
+# def format_seconds(secs):
+#     t = datetime.datetime(
+#         year=1, month=1, day=1, hour=0, minute=0
+#     ) + datetime.timedelta(seconds=secs)
+#     return t.strftime("%M:%S.%f")[:-3]
+
+
+# def get_filename_and_extension(url):
+#     parsed_url = urlparse(url)
+#     path = parsed_url.path
+#     filename = Path(path).name
+#     filename_without_extension = Path(filename).stem
+#     file_extension = Path(filename).suffix
+#     return filename, filename_without_extension, file_extension
+
+
+# def calculate_times(input_url, input_text, ms_before, ms_after):
+#     _, _, file_extension = get_filename_and_extension(input_url)
+#     file_extension = file_extension.replace(".", "")
+#     df = pd.DataFrame({"text": [], "start": [], "stop": [], "file": []})
+#     lines = input_text.splitlines()
+#     segments = []
+#     if len(lines) != len(segments):
+#         msg = f"DETECTED CLIPS AND INPUT LINES DO NOT MATCH!\n\nYou are expecting {len(lines)} clips BUT {len(segments)} segments have been found in the video file."
+#         df.loc[len(df.index)] = ["", "", "", ""]
+#         return msg, None, df
+#     else:
+#         res = []
+#         for i in range(len(segments)):
+#             line = lines[i].rstrip()
+#             res.append(f"{line}\t{segments[i][0]}\t{segments[i][1]}\t{input_url}")
+#             df.loc[len(df.index)] = [line, segments[i][0], segments[i][1], input_url]
+#         df.to_csv(
+#             "clips.tsv",
+#             sep="\t",
+#             encoding="utf-8",
+#             index=False,
+#             header=False,
+#             quoting=csv.QUOTE_NONE,
+#         )
+#         return "\n".join(res), "clips.tsv", df
+
+
+# def load_video(input_url):
+#     if input_url:
+#         return input_url
+#     return None
+
+
+# css = """
+# .required {background-color: #FFCCCB !important, font-size: 24px !important}
+# """
+
+
+# with gr.Blocks(title="Start and stop times", css=css) as app:
+#     gr.Markdown(
+#         """# Start and stop times generator
+#     Please, fill the Video URL and Clip texts textboxes and click the Run button"""
+#     )
+#     with gr.Row():
+#         with gr.Column(scale=3):
+#             text1 = gr.Textbox(
+#                 lines=1,
+#                 placeholder="Video URL...",
+#                 label="Video URL",
+#                 elem_classes=["required"],
+#             )
+#             text2 = gr.Textbox(
+#                 lines=5,
+#                 max_lines=10,
+#                 placeholder="List of clip texts...",
+#                 label="Clip texts",
+#                 elem_classes=["required"],
+#             )
+#             slider1 = gr.Slider(
+#                 minimum=0,
+#                 maximum=1000,
+#                 step=50,
+#                 value=0,
+#                 label="Milliseconds BEFORE each clip",
+#             )
+#             slider2 = gr.Slider(
+#                 minimum=0,
+#                 maximum=1000,
+#                 step=50,
+#                 value=500,
+#                 label="Milliseconds AFTER each clip",
+#             )
+#             btn_submit = gr.Button(value="Run", variant="primary", size="sm")
+#             video = gr.Video(
+#                 format="mp4", label="Video file", show_label=True, interactive=False
+#             )
+#         with gr.Column(scale=5):
+#             file = gr.File(
+#                 label="Clips", show_label=True, file_count=1, interactive=False
+#             )
+#             lines = gr.Textbox(
+#                 lines=10, label="Clips", interactive=False, show_copy_button=True
+#             )
+#             data = gr.Dataframe(
+#                 label="Clips",
+#                 headers=["text", "start", "stop", "file"],
+#                 datatype=["str", "str", "str", "str"],
+#                 row_count=0,
+#             )
+#     btn_submit.click(
+#         calculate_times,
+#         inputs=[text1, text2, slider1, slider2],
+#         outputs=[lines, file, data],
+#     )
+#     text1.blur(load_video, inputs=[text1], outputs=[video])
+
+# app.launch()
+
 import gradio as gr
-import pandas as pd
-from io import BytesIO
-from pathlib import Path
-from urllib.parse import urlparse
-
-
-def format_seconds(secs):
-    t = datetime.datetime(
-        year=1, month=1, day=1, hour=0, minute=0
-    ) + datetime.timedelta(seconds=secs)
-    return t.strftime("%M:%S.%f")[:-3]
-
-
-def get_filename_and_extension(url):
-    parsed_url = urlparse(url)
-    path = parsed_url.path
-    filename = Path(path).name
-    filename_without_extension = Path(filename).stem
-    file_extension = Path(filename).suffix
-    return filename, filename_without_extension, file_extension
-
-
-def calculate_times(input_url, input_text, ms_before, ms_after):
-    _, _, file_extension = get_filename_and_extension(input_url)
-    file_extension = file_extension.replace(".", "")
-    df = pd.DataFrame({"text": [], "start": [], "stop": [], "file": []})
-    lines = input_text.splitlines()
-    segments = []
-    if len(lines) != len(segments):
-        msg = f"DETECTED CLIPS AND INPUT LINES DO NOT MATCH!\n\nYou are expecting {len(lines)} clips BUT {len(segments)} segments have been found in the video file."
-        df.loc[len(df.index)] = ["", "", "", ""]
-        return msg, None, df
-    else:
-        res = []
-        for i in range(len(segments)):
-            line = lines[i].rstrip()
-            res.append(f"{line}\t{segments[i][0]}\t{segments[i][1]}\t{input_url}")
-            df.loc[len(df.index)] = [line, segments[i][0], segments[i][1], input_url]
-        df.to_csv(
-            "clips.tsv",
-            sep="\t",
-            encoding="utf-8",
-            index=False,
-            header=False,
-            quoting=csv.QUOTE_NONE,
-        )
-        return "\n".join(res), "clips.tsv", df
-
-
-def load_video(input_url):
-    if input_url:
-        return input_url
-    return None
-
-
-css = """
-.required {background-color: #FFCCCB !important, font-size: 24px !important}
-"""
-
-
-with gr.Blocks(title="Start and stop times", css=css) as app:
-    gr.Markdown(
-        """# Start and stop times generator
-    Please, fill the Video URL and Clip texts textboxes and click the Run button"""
-    )
-    with gr.Row():
-        with gr.Column(scale=3):
-            text1 = gr.Textbox(
-                lines=1,
-                placeholder="Video URL...",
-                label="Video URL",
-                elem_classes=["required"],
-            )
-            text2 = gr.Textbox(
-                lines=5,
-                max_lines=10,
-                placeholder="List of clip texts...",
-                label="Clip texts",
-                elem_classes=["required"],
-            )
-            slider1 = gr.Slider(
-                minimum=0,
-                maximum=1000,
-                step=50,
-                value=0,
-                label="Milliseconds BEFORE each clip",
-            )
-            slider2 = gr.Slider(
-                minimum=0,
-                maximum=1000,
-                step=50,
-                value=500,
-                label="Milliseconds AFTER each clip",
-            )
-            btn_submit = gr.Button(value="Run", variant="primary", size="sm")
-            video = gr.Video(
-                format="mp4", label="Video file", show_label=True, interactive=False
-            )
-        with gr.Column(scale=5):
-            file = gr.File(
-                label="Clips", show_label=True, file_count=1, interactive=False
-            )
-            lines = gr.Textbox(
-                lines=10, label="Clips", interactive=False, show_copy_button=True
-            )
-            data = gr.Dataframe(
-                label="Clips",
-                headers=["text", "start", "stop", "file"],
-                datatype=["str", "str", "str", "str"],
-                row_count=0,
-            )
-    btn_submit.click(
-        calculate_times,
-        inputs=[text1, text2, slider1, slider2],
-        outputs=[lines, file, data],
-    )
-    text1.blur(load_video, inputs=[text1], outputs=[video])
+
+
+def diff_texts(text1, text2):
+    return text1 + ' ' +text2
+
+
+app = gr.Interface(
+    diff_texts,
+    [
+        gr.Textbox(
+            label="Text 1",
+            info="Initial text",
+            lines=3,
+            value="The quick brown fox jumped over the lazy dogs.",
+        ),
+        gr.Textbox(
+            label="Text 2",
+            info="Text to compare",
+            lines=3,
+            value="The fast brown fox jumps over lazy dogs.",
+        ),
+    ],
+    gr.Textbox(
+        label="Sum",
+    ),
+    theme=gr.themes.Base()
+)
 
 app.launch()

requirements.txt

@@ -0,0 +1 @@
+gradio