import os from tensorflow.keras.models import load_model #def load_trained_model(path): #return load_model(path) # ✅ Set writable cache directory os.environ["HF_HUB_CACHE"] = "/tmp/huggingface" def run_prediction(model, processed_frame): # Renamed function prediction = model.predict(processed_frame) return prediction[0][0] ''' import os import urllib.request from tensorflow.keras.models import load_model def load_trained_model(path="violence_model.h5"): url = "https://huggingface.co/spaces/muskan19/Violence_Detector/blob/main/violence_model.keras" if not os.path.exists(path): print("Downloading model...") urllib.request.urlretrieve(url, path) print("Download complete.") return load_model(path, compile=False) ''' ''' import os import urllib.request from tensorflow.keras.models import load_model def load_trained_model(path="violence_model.keras"): url = "https://huggingface.co/spaces/muskan19/Violence_Detector/resolve/main/violence_model.keras" if not os.path.exists(path): print("Downloading model...") urllib.request.urlretrieve(url, path) print("Download complete.") return load_model(path, compile=False) ''' ''' from huggingface_hub import hf_hub_download from tensorflow.keras.models import load_model def load_trained_model(): model_path = hf_hub_download( repo_id="muskan19/Violence_Detector", filename="violence_model.keras" ) return load_model(model_path, compile=False) ''' ''' import os import urllib.request from tensorflow.keras.models import load_model def load_trained_model(path="violence_model.keras"): url = "https://huggingface.co/spaces/muskan19/Violence_Detector/resolve/main/violence_model.keras" if not os.path.exists(path): print("📥 Downloading model...") urllib.request.urlretrieve(url, path) return load_model(path, compile=False) ''' from huggingface_hub import hf_hub_download from tensorflow.keras.models import load_model def load_trained_model(): model_path = hf_hub_download( repo_id="muskan19/violence_model", # Your model repo, NOT Space filename="violence_model.h5" # Exact file name ) return load_model(model_path, compile=False)