Upload folder using huggingface_hub

Dockerfile

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+# Use a minimal base image with Python 3.9 installed
+FROM python:3.9-slim
+
+# Set the working directory inside the container to /app
+WORKDIR /app
+
+# Copy all files from the current directory on the host to the container's /app directory
+COPY . .
+
+# Install Python dependencies listed in requirements.txt
+RUN pip3 install -r requirements.txt
+
+# Tell Hugging Face which port the app will run on
+EXPOSE 8501
+
+# Define the command to run the Streamlit app on port 8501 and make it accessible externally
+CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false"]
+
+# NOTE: Disable XSRF protection for easier external access in order to make batch predictions

README.md

@@ -1,10 +1,8 @@
----
 title: SuperKartPredictionFrontend
-emoji: 👀
+emoji: 🏢
 colorFrom: indigo
-colorTo: pink
-sdk: docker
+colorTo: purple
+sdk: streamlit
+sdk_version: streamlit==1.43.2 # Added the sdk_version field
+app_file: app.py
 pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import streamlit as st
+st.title("✅ Streamlit is running")
+st.title("✅ Set sdk to streamlit")

requirements.txt

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+pandas==2.2.2
+requests==2.28.1
+streamlit==1.43.2