Create utils.py

utils.py

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+import os
+from pydub import AudioSegment
+import openai
+
+def split_audio(file_path, chunk_length=10*60*1000):
+    audio = AudioSegment.from_file(file_path)
+    chunks = []
+    for start in range(0, len(audio), chunk_length):
+        chunk = audio[start:start + chunk_length]
+        chunk_file = f"chunk_{start // chunk_length}.mp3"
+        chunk.export(chunk_file, format="mp3")
+        chunks.append(chunk_file)
+    return chunks
+
+def transcribe_audio(chunks):
+    transcriptions = []
+    timestamps = []
+    for idx, chunk in enumerate(chunks):
+        with open(chunk, "rb") as audio_file:
+            response = openai.Audio.transcribe("whisper-1", audio_file)
+            transcriptions.append(response['text'])
+            timestamps.append(f"Chunk {idx} - {idx * 10} min to {(idx + 1) * 10} min")
+    return transcriptions, timestamps
+
+def generate_lesson_plan(transcriptions):
+    # Combine transcriptions into a single text
+    combined_transcript = " ".join(transcriptions)
+    
+    # Call ChatGPT to generate a lesson plan
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=[
+            {"role": "user", "content": f"Generate a detailed lesson plan based on the following transcript:\n\n{combined_transcript}"}
+        ]
+    )
+    lesson_plan = response['choices'][0]['message']['content']
+    return lesson_plan