Update Dockerfile

Dockerfile

@@ -1,72 +1,43 @@
-![App Screenshot](assets/Landingpage.png)
-
-AI-Powered Coaching Assistant
-An intelligent coaching app that handles administrative tasks so coaches can focus on what they do best—coaching.
-What It Does
-
-Real-time listening: Analyzes coaching sessions as they happen, identifying key themes and breakthrough moments
-Smart insights: Provides coaches with timely suggestions and questions to deepen conversations
-Automated summaries: Generates professional session reports that eliminate manual note-taking
-
-Frontend: Lovable/no-code platforms
-AI: OpenAI API (Whisper + GPT)
-Backend: Python (FastAPI/Flask)
-Database: Supabase
-
-
-# AI-Powered Coaching Assistant
-
-An intelligent coaching app that handles administrative tasks so coaches can focus on what they do best—coaching.
-
-## What It Does
-
-- **Real-time listening:** Analyzes coaching sessions as they happen, identifying key themes and breakthrough moments
-- **Smart insights:** Provides coaches with timely suggestions and questions to deepen conversations
-- **Automated summaries:** Generates professional session reports that eliminate manual note-taking
-
-## The Problem
-
-Coaches waste hours on administrative tasks like session notes instead of focusing on actual coaching. Generic AI tools aren't built for coaching workflows.
-
-## Solution
-
-A coaching-specific app that augments rather than replaces human coaches—simple, intuitive, and designed for professional coaching workflows.
-
-## Tech Stack
-
-- **Frontend:** Lovable/no-code platforms
-- **AI:** OpenAI API (Whisper + GPT)
-- **Backend:** Python (FastAPI/Flask)
-- **Database:** Supabase
-
-## Quick Start
-
-1. **Clone the repository**
-   ```bash
-   git clone https://github.com/YoonJ-C/My-AI-project.git
-   cd ai-coaching-assistant
-   ```
-
-2. **Set up environment variables**
-   ```bash
-   cp .env.example .env
-   # Add your OpenAI API key and Supabase credentials to .env
-   ```
-
-3. **Install dependencies**
-   ```bash
-   pip install -r requirements.txt
-   ```
-
-4. **Run the application**
-   ```bash
-   python app.py
-   # or
-   uvicorn main:app --reload
-   ```
-
-5. **Access the app**
-   - Open http://localhost:5001 in your browser
-   - Start a coaching session and let the AI assist you
-
-**Prerequisites:** Python 3.8+, OpenAI API key, Supabase account
+# ================================
+# Vera - AI Coaching Dashboard
+# Streamlit + PyAudio + Whisper
+# ================================
+
+# Use an official Python base image
+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies for PyAudio, PortAudio, and audio handling
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    portaudio19-dev \
+    ffmpeg \
+    libsndfile1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy application files
+COPY . /app
+
+# Install Python dependencies
+RUN pip install --no-cache-dir \
+    streamlit \
+    openai \
+    python-dotenv \
+    pyaudio \
+    transformers \
+    torch \
+    plotly \
+    pandas
+
+# (Optional) expose Streamlit’s default port
+EXPOSE 7860
+
+# Set environment variable for Streamlit
+ENV STREAMLIT_SERVER_PORT=7860
+ENV STREAMLIT_SERVER_ENABLECORS=false
+ENV STREAMLIT_SERVER_HEADLESS=true
+
+# Start the Streamlit app
+CMD ["streamlit", "run", "main.py"]