Update app.py

app.py

@@ -193,11 +193,12 @@ try:
         nlp = spacy.load("en_core_web_sm")
     print("✅ Loading NLP models...")
 
-    # Updated summarizer: add trust_remote_code=True to load custom model files if needed.
+    # Updated summarizer: add trust_remote_code=True and use_fast=False to avoid Tiktoken conversion errors.
     summarizer = pipeline(
         "summarization",
         model="nsi319/legal-pegasus",
         trust_remote_code=True,
+        use_fast=False,
         device=0 if torch.cuda.is_available() else -1
     )
     embedding_model = SentenceTransformer("all-mpnet-base-v2", device=device)
@@ -518,7 +519,7 @@ async def analyze_legal_audio(file: UploadFile = File(...)):
             temp_file_path = temp_file.name
         print(f"Temporary file saved at: {temp_file_path}")
         text = process_audio_to_text(temp_file_path)
-        if os.path.exists(temp_file_path):
+        if os.path.exists(temp_audio_path):
             os.remove(temp_file_path)
         if not text:
             return {"status": "error", "message": "No speech could be transcribed from the audio."}
@@ -742,3 +743,4 @@ if __name__ == "__main__":
         print("\n⚠️ Ngrok setup failed. API will only be available locally.\n")
     run()
 
+