Update app.py

app.py

@@ -60,13 +60,8 @@ try:
     audio_model = whisperx.load_model(
         audio_model_size,
         device,
-        compute_type=compute_type,
-        # Provide necessary parameters based on your version of whisperx
-        # Check documentation for required parameters
-        max_new_tokens=100,  # Example values, adjust as needed
-        clip_timestamps=True,
-        hallucination_silence_threshold=0.5,
-        hotwords=None  # Add specific hotwords if needed
+        compute_type=compute_type
+        # Removed unsupported parameters
     )
     print(f"Model loaded successfully with compute_type: {compute_type}")
 except ValueError as e:
@@ -76,17 +71,18 @@ except ValueError as e:
         audio_model = whisperx.load_model(
             audio_model_size,
             device,
-            compute_type="int8",
-            max_new_tokens=100,
-            clip_timestamps=True,
-            hallucination_silence_threshold=0.5,
-            hotwords=None
+            compute_type="int8"
+            # Removed unsupported parameters
         )
         print("Fell back to int8 compute type successfully.")
     except Exception as e:
         print(f"Failed to load model with int8: {e}")
 
 
+
+
+
+
 # load weights
 model_to_merge = PeftModel.from_pretrained(phi_model,'./model_chkpt/lora_adaptor')
 merged_model   = model_to_merge.merge_and_unload()