added some try except blocks and remove file after transcript is finished.

main.py

@@ -1,6 +1,3 @@
-# Youtube Video Summarizer
-# Steps: Download audio of youtube video, transcribe text using openaimodels, from text use chatgpt models to summarize the content.
-
 import os
 from openai import OpenAI 
 from pytube import YouTube
@@ -17,38 +14,48 @@ def download_audio(video_url, output_filename='audio.mp4'):
         return None
 
 def transcription(OPENAI_API_KEY, audio_filename):
-    client = OpenAI(api_key=OPENAI_API_KEY)
+    try:
+        client = OpenAI(api_key=OPENAI_API_KEY)
 
-    audio_file = open(audio_filename, "rb")
+        audio_file = open(audio_filename, "rb")
 
-    transcript = client.audio.transcriptions.create(
-    file=audio_file,
-    model="whisper-1",
-    language="en",
-    prompt="",
-    response_format="json",
-    temperature=0.0
-    )
+        transcript = client.audio.transcriptions.create(
+        file=audio_file,
+        model="whisper-1",
+        language="en",
+        prompt="",
+        response_format="json",
+        temperature=0.0
+        )
 
-    print("Transcription finished")
+        print("Transcription finished")
+        
+        os.remove(audio_filename)
 
-    return transcript
+        return transcript
+    except Exception as e:
+        print(f"Failed to transcript audio: {e}")
+        return None
 
 def summarize(OPENAI_API_KEY, transcript):
-    client = OpenAI(api_key=OPENAI_API_KEY)
-    stream = client.chat.completions.create(
-        model="gpt-4",
-        messages=[
-            {"role": "system", "content": "The prompt you will receive will be the transcript of a youtube video, your objective is to summarize the content of that transcript to the best of your ability, keep in mind there may be music or other parasit noises in the transcript."},
-            {"role": "user", "content": str(transcript)}
-            ],
-        stream=True,
-    )
+    try:
+        client = OpenAI(api_key=OPENAI_API_KEY)
+        stream = client.chat.completions.create(
+            model="gpt-4",
+            messages=[
+                {"role": "system", "content": "The prompt you will receive will be the transcript of a youtube video, your objective is to summarize the content of that transcript to the best of your ability, keep in mind there may be music or other parasit noises in the transcript."},
+                {"role": "user", "content": str(transcript)}
+                ],
+            stream=True,
+        )
+
+        for chunk in stream:
+            if chunk.choices[0].delta.content is not None:
+                print(chunk.choices[0].delta.content, end="", flush=True)
+    except Exception as e:
+        print(f"Failed to summarize transcript: {e}")
+        return None
 
-    for chunk in stream:
-        if chunk.choices[0].delta.content is not None:
-            print(chunk.choices[0].delta.content, end="", flush=True)
-  
 def main():
     OPENAI_API_KEY = os.environ.get('OPENAI_API_KEY')
     video_url = str(input("video url:"))