Upload 2 files

app.py

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+
+import gradio as gr
+import pandas as pd
+import requests
+import io
+import zipfile
+from pydub import AudioSegment
+
+def process_csv(file):
+    # Read CSV
+    df = pd.read_csv(file.name)
+
+    results = []
+    errors = []
+
+    # Process each audio link
+    for _, row in df.iterrows():
+        recorder_id = row.get("Fullname")
+        audio_url = row.get("Audio_Link")
+
+        if pd.isna(audio_url):
+            continue
+
+        try:
+            response = requests.get(audio_url, stream=True, timeout=30)
+            if response.status_code == 200:
+                audio_file = io.BytesIO(response.content)
+                audio = AudioSegment.from_file(audio_file)
+                duration_sec = len(audio) / 1000.0
+                duration_min = duration_sec / 60.0
+
+                results.append({
+                    "recorder_id": recorder_id,
+                    "audio_url": audio_url,
+                    "duration_seconds": round(duration_sec, 2),
+                    "duration_minutes": round(duration_min, 2)
+                })
+            else:
+                errors.append((recorder_id, audio_url, "Download failed"))
+        except Exception as e:
+            errors.append((recorder_id, audio_url, str(e)))
+
+    # Save results
+    output_df = pd.DataFrame(results)
+    output_filename = "audio_durations.csv"
+    output_df.to_csv(output_filename, index=False)
+
+    totals_df = output_df.groupby("recorder_id")[ "duration_minutes"].sum().reset_index()
+    totals_df.rename(columns={"duration_minutes": "total_minutes"}, inplace=True)
+    totals_filename = "total_durations_per_recorder.csv"
+    totals_df.to_csv(totals_filename, index=False)
+
+    error_filename = None
+    if errors:
+        error_df = pd.DataFrame(errors, columns=["recorder_id", "audio_url", "error"])
+        error_filename = "audio_errors.csv"
+        error_df.to_csv(error_filename, index=False)
+
+    # Create ZIP with results
+    zip_filename = "results.zip"
+    with zipfile.ZipFile(zip_filename, "w") as zipf:
+        zipf.write(output_filename)
+        zipf.write(totals_filename)
+        if error_filename:
+            zipf.write(error_filename)
+
+    return zip_filename
+
+# Gradio UI
+title = "Audio Duration Calculator"
+description = """
+Upload your CSV with 'Fullname' and 'Audio_Link' columns.
+The app will calculate audio durations, total durations per recorder, and create error logs if needed.
+You'll get a downloadable ZIP file.
+"""
+
+demo = gr.Interface(
+    fn=process_csv,
+    inputs=gr.File(label="Upload CSV", type="file"),
+    outputs=gr.File(label="Download Results ZIP"),
+    title=title,
+    description=description
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+
+gradio
+pandas
+pydub
+requests
+ffmpeg