Upload folder using huggingface_hub

.streamlit/config.toml

@@ -1,2 +1,6 @@
 [server]
 maxUploadSize = 10000
+enableCORS = false
+enableXsrfProtection = false
+address = "0.0.0.0"
+port = 7860

Dockerfile

@@ -6,4 +6,4 @@ COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 COPY . .
 EXPOSE 7860
-CMD ["streamlit", "run", "app.py", "--server.port", "7860", "--server.address", "0.0.0.0", "--server.maxUploadSize", "10000", "--server.enableCORS", "false", "--server.enableXsrfProtection", "false"]
+CMD ["streamlit", "run", "app.py"]

app.py

@@ -29,7 +29,7 @@ api_key = "AQ.Ab8RN6K7DUqbPAcdRwV1Y-xYSH4qZOwvnUsmi1330DwbiWVSOg"
 # Cache die Modelle, damit sie nur bei Bedarf und nur einmal geladen werden
 @st.cache_resource
 def get_paddle_ocr():
-    return PaddleOCR(use_angle_cls=True, lang='de', show_log=False)
+    return PaddleOCR(use_angle_cls=True, lang='de')
 
 @st.cache_resource
 def get_trocr():