basic flask and streamlit with dockerfile

.dockerignore

@@ -0,0 +1,19 @@
+.git
+.gitignore
+.venv
+__pycache__
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+venv/
+.idea/
+.vscode/
+*.swp
+*.swo
+.DS_Store
+docker-compose.yml
+DOCKER_INSTRUCTIONS.md
+RUN_INSTRUCTIONS.md
+tmp_rovodev_*

.gitignore

@@ -0,0 +1,6 @@
+/.venv/
+.venv
+.env
+__pycache__/
+*.pyc
+uv.lock

.python-version

@@ -0,0 +1 @@
+3.10

Dockerfile

@@ -0,0 +1,42 @@
+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first for better caching
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy all application files
+COPY . .
+
+# Create a non-root user (Hugging Face requirement)
+RUN useradd -m -u 1000 user
+USER user
+
+# Set environment variables for Hugging Face
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+# Set working directory to user home
+WORKDIR $HOME/app
+
+# Copy files to user directory
+COPY --chown=user . $HOME/app
+
+# Expose port 7860 (Hugging Face Spaces default)
+EXPOSE 7860
+
+# Make start script executable
+RUN chmod +x start.sh
+
+# Run both Flask and Streamlit using start script
+CMD ["bash", "start.sh"]

README.md

@@ -1,12 +1,185 @@
 ---
-title: AudioSentiment
-emoji: 📊
-colorFrom: purple
-colorTo: gray
+title: Flask Streamlit Demo
+emoji: 🚀
+colorFrom: blue
+colorTo: green
 sdk: docker
 pinned: false
 license: mit
-short_description: emotions extrater of audio
+short_description: Flask + Streamlit integration demo
+app_port: 7860
 ---
 
+# Flask + Streamlit Demo
+
+This Hugging Face Space demonstrates integration between Flask backend and Streamlit frontend.
+
+## Features:
+- Flask API with `/helloworld` endpoint
+- Streamlit app that calls the Flask API and displays the response
+- Runs on Hugging Face Spaces using Docker
+
+## How it works:
+1. Flask API runs in the background on port 5000
+2. Streamlit UI runs on port 7860 (Hugging Face default)
+3. Click the button in Streamlit to call the Flask endpoint
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# Flask + Streamlit Project Setup
+
+## Files Created:
+- `flask_app.py` - Flask backend with /helloworld endpoint
+- `streamlit_app.py` - Streamlit frontend that calls the Flask API
+
+## How to Run:
+
+### Step 1: Install Dependencies
+```bash
+pip install -r requirements.txt
+```
+
+### Step 2: Start Flask Server (Terminal 1)
+```bash
+python flask_app.py
+```
+The Flask server will start on http://localhost:5000
+
+### Step 3: Start Streamlit App (Terminal 2)
+```bash
+streamlit run streamlit_app.py
+```
+The Streamlit app will open in your browser (usually http://localhost:8501)
+
+### Step 4: Test the Integration
+1. Click the "Call Flask API" button in the Streamlit interface
+2. The app will call the Flask endpoint and display the response
+
+## Endpoints:
+- Flask API: `GET http://localhost:5000/helloworld`
+  - Returns: `{"message": "Hello World!", "status": "success"}`
+
+## Note:
+Make sure to run Flask first before using the Streamlit app!
+
+# Docker Setup Instructions
+
+## Option 1: Using Docker Compose (Recommended - Runs both apps together)
+
+### Build and Run:
+```bash
+docker-compose up --build
+```
+
+This will start:
+- Flask API on http://localhost:5000
+- Streamlit App on http://localhost:8501
+
+### Stop:
+```bash
+docker-compose down
+```
+
+---
+
+## Option 2: Using Individual Docker Commands
+
+### Build the image:
+```bash
+docker build -t flask-streamlit-app .
+```
+
+### Run Flask only:
+```bash
+docker run -p 5000:5000 flask-streamlit-app python flask_app.py
+```
+
+### Run Streamlit only:
+```bash
+docker run -p 8501:8501 flask-streamlit-app streamlit run streamlit_app.py --server.address 0.0.0.0
+```
+
+---
+
+## Accessing the Apps:
+
+- **Flask API**: http://localhost:5000/helloworld
+- **Streamlit App**: http://localhost:8501
+
+---
+
+## Notes:
+
+- The `docker-compose.yml` sets up networking so Streamlit can communicate with Flask
+- Both services are in the same network (`app-network`)
+- Streamlit automatically uses the Flask service URL when running in Docker
+- For local development without Docker, use `python flask_app.py` and `streamlit run streamlit_app.py`
+
+
+# Deploying to Hugging Face Spaces
+
+## Prerequisites:
+- Hugging Face account
+- Git installed
+
+## Deployment Steps:
+
+### 1. Create a new Space on Hugging Face
+- Go to https://huggingface.co/new-space
+- Choose a name for your Space
+- Select **Docker** as the SDK
+- Choose your preferred visibility (public/private)
+
+### 2. Clone your Space repository
+```bash
+git clone https://huggingface.co/spaces/YOUR_USERNAME/YOUR_SPACE_NAME
+cd YOUR_SPACE_NAME
+```
+
+### 3. Copy files to the Space repository
+Copy these files to your Space repository:
+- `Dockerfile`
+- `requirements.txt`
+- `flask_app.py`
+- `streamlit_app.py`
+- `start.sh`
+- `README.md`
+- `.dockerignore`
+
+### 4. Push to Hugging Face
+```bash
+git add .
+git commit -m "Initial commit: Flask + Streamlit app"
+git push
+```
+
+### 5. Wait for build
+- Hugging Face will automatically build your Docker container
+- This may take 5-10 minutes
+- Monitor the build logs in your Space settings
+
+### 6. Access your app
+- Once built, your app will be available at:
+  `https://YOUR_USERNAME-YOUR_SPACE_NAME.hf.space`
+
+## Important Notes:
+
+✅ **Port 7860** - Hugging Face Spaces uses port 7860 by default (already configured)
+
+✅ **Non-root user** - Dockerfile creates user with UID 1000 (Hugging Face requirement)
+
+✅ **Both apps run together** - Flask runs in background, Streamlit in foreground
+
+✅ **README.md header** - Contains Hugging Face Space configuration:
+```yaml
+---
+sdk: docker
+app_port: 7860
+---
+```
+
+## Troubleshooting:
+
+- Check build logs in Space settings if build fails
+- Make sure all files are pushed to the repository
+- Ensure `start.sh` has execute permissions (handled in Dockerfile)

docker-compose.yml

@@ -0,0 +1,30 @@
+version: '3.8'
+
+services:
+  flask:
+    build: .
+    container_name: flask-api
+    command: python flask_app.py
+    ports:
+      - "5000:5000"
+    networks:
+      - app-network
+    environment:
+      - FLASK_ENV=development
+
+  streamlit:
+    build: .
+    container_name: streamlit-app
+    command: streamlit run streamlit_app.py --server.address 0.0.0.0
+    ports:
+      - "8501:8501"
+    networks:
+      - app-network
+    depends_on:
+      - flask
+    environment:
+      - FLASK_URL=http://flask:5000/helloworld
+
+networks:
+  app-network:
+    driver: bridge

flask_app.py

@@ -0,0 +1,13 @@
+from flask import Flask, jsonify
+
+app = Flask(__name__)
+
+@app.route('/helloworld', methods=['GET'])
+def hello_world():
+    return jsonify({
+        "message": "Hello World!",
+        "status": "success"
+    })
+
+if __name__ == '__main__':
+    app.run(debug=True, host='0.0.0.0', port=5000)

main.py

@@ -0,0 +1,6 @@
+def main():
+    print("Hello from audiosentiment!")
+
+
+if __name__ == "__main__":
+    main()

pyproject.toml

@@ -0,0 +1,11 @@
+[project]
+name = "audiosentiment"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+    "flask>=3.1.2",
+    "requests>=2.32.5",
+    "streamlit>=1.54.0",
+]

requirements.txt

@@ -1,2 +1,5 @@
 fastapi
 uvicorn[standard]
+flask
+streamlit
+requests

start.sh

@@ -0,0 +1,10 @@
+#!/bin/bash
+
+# Start Flask in background
+python flask_app.py &
+
+# Wait a bit for Flask to start
+sleep 2
+
+# Start Streamlit on port 7860 (Hugging Face Spaces default)
+streamlit run streamlit_app.py --server.port 7860 --server.address 0.0.0.0 --server.headless true --browser.serverAddress 0.0.0.0 --browser.gatherUsageStats false

streamlit_app.py

@@ -0,0 +1,38 @@
+import streamlit as st
+import requests
+
+st.title("Flask API Client 🚀")
+st.write("This app calls the Flask HelloWorld endpoint and displays the response")
+
+# Flask API URL
+import os
+FLASK_URL = os.getenv("FLASK_URL", "http://localhost:5000/helloworld")
+
+st.markdown("---")
+
+if st.button("Call Flask API"):
+    try:
+        with st.spinner("Calling Flask API..."):
+            response = requests.get(FLASK_URL)
+        
+        if response.status_code == 200:
+            st.success("API call successful! ✅")
+            data = response.json()
+            
+            # Display response in a nice format
+            st.subheader("Response:")
+            st.json(data)
+            
+            # Also display as text
+            st.info(f"Message: {data.get('message', 'N/A')}")
+            st.info(f"Status: {data.get('status', 'N/A')}")
+        else:
+            st.error(f"Error: Received status code {response.status_code}")
+            
+    except requests.exceptions.ConnectionError:
+        st.error("❌ Could not connect to Flask server. Make sure it's running on port 5000!")
+    except Exception as e:
+        st.error(f"An error occurred: {str(e)}")
+
+st.markdown("---")
+st.caption("Make sure to run Flask app first: `python flask_app.py`")