Initial implementation

app.py

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+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()