Update app.py

app.py

@@ -23,7 +23,7 @@ def _read_file(filename, chunk_size=5242880):
                 break
             yield data
             
-def get_transcript_url(url, audio_intelligence_options):
+def get_transcript_url(url):
     
     # JSON that tells the API which file to trancsribe
     json={
@@ -92,72 +92,72 @@ def get_transcript_url(url, audio_intelligence_options):
   
     return transcription_result['text'], transcription_result['summary'], sentiment_analysis_result
 
-def get_transcript_file(filename):
+# def get_transcript_file(filename):
 
-    upload_response = requests.post(
-    upload_endpoint,
-    headers=headers, 
-    data=_read_file(filename))
+#     upload_response = requests.post(
+#     upload_endpoint,
+#     headers=headers, 
+#     data=_read_file(filename))
     
-    # JSON that tells the API which file to trancsribe
-    json = {
-    # URL of the audio file to process
-    "audio_url": upload_response.json()['upload_url'],
-
-    # Turn on speaker labels
-    "speaker_labels": True,
-
-    # Turn on custom vocabulary
-    "word_boost": ["assembly ai"],
-
-    # Turn on custom spelling
-    "custom_spelling": [
-        {"from": ["assembly AI"], "to": "AssemblyAI"},
-        {"from": ["assembly AI's"], "to": "AssemblyAI's"}
-        ],
-
-    # Turn on PII Redaction and specify policies
-    "redact_pii": True,
-    "redact_pii_policies": ["drug", "injury", "person_name"],
-    "redact_pii_audio": True,
-
-    # Turn on Auto Highlights
-    "auto_highlights": True,
-
-    # Turn on Content Moderation
-    "content_safety": True,
-
-    # Turn on Topic Detection
-    "iab_categories": True,
-
-    # Turn on Sentiment Analysis
-    "sentiment_analysis": True,
-
-    # Turn on Summarization and specify configuration
-    "summarization": True,
-    "summary_model": "informative",
-    "summary_type": "bullets",
-
-    # Turn on Entity Detection
-    "entity_detection": True,
-    }
-
-    response = requests.post(
-        transcript_endpoint,
-        json=json,
-        headers=headers  # Authorization to link this transcription with your account
-      )
-
-    polling_endpoint = f"https://api.assemblyai.com/v2/transcript/{response.json()['id']}"
-    while True:
-      transcription_result = requests.get(polling_endpoint, headers=headers).json()
-      if transcription_result['status'] == 'completed':
-        break
-      elif transcription_result['status'] == 'error':
-        raise RuntimeError(f"Transcription failed: {transcription_result['error']}")
-      else:
-        time.sleep(3)
-    return transcription_result['text']
+#     # JSON that tells the API which file to trancsribe
+#     json = {
+#     # URL of the audio file to process
+#     "audio_url": upload_response.json()['upload_url'],
+
+#     # Turn on speaker labels
+#     "speaker_labels": True,
+
+#     # Turn on custom vocabulary
+#     "word_boost": ["assembly ai"],
+
+#     # Turn on custom spelling
+#     "custom_spelling": [
+#         {"from": ["assembly AI"], "to": "AssemblyAI"},
+#         {"from": ["assembly AI's"], "to": "AssemblyAI's"}
+#         ],
+
+#     # Turn on PII Redaction and specify policies
+#     "redact_pii": True,
+#     "redact_pii_policies": ["drug", "injury", "person_name"],
+#     "redact_pii_audio": True,
+
+#     # Turn on Auto Highlights
+#     "auto_highlights": True,
+
+#     # Turn on Content Moderation
+#     "content_safety": True,
+
+#     # Turn on Topic Detection
+#     "iab_categories": True,
+
+#     # Turn on Sentiment Analysis
+#     "sentiment_analysis": True,
+
+#     # Turn on Summarization and specify configuration
+#     "summarization": True,
+#     "summary_model": "informative",
+#     "summary_type": "bullets",
+
+#     # Turn on Entity Detection
+#     "entity_detection": True,
+#     }
+
+#     response = requests.post(
+#         transcript_endpoint,
+#         json=json,
+#         headers=headers  # Authorization to link this transcription with your account
+#       )
+
+#     polling_endpoint = f"https://api.assemblyai.com/v2/transcript/{response.json()['id']}"
+#     while True:
+#       transcription_result = requests.get(polling_endpoint, headers=headers).json()
+#       if transcription_result['status'] == 'completed':
+#         break
+#       elif transcription_result['status'] == 'error':
+#         raise RuntimeError(f"Transcription failed: {transcription_result['error']}")
+#       else:
+#         time.sleep(3)
+#     return transcription_result['text']
 
 audio_intelligence_list = [
     "Summarization",