modified docker file

Dockerfile

@@ -2,22 +2,34 @@ FROM python:3.11
 
 WORKDIR /app
 
-COPY . /app
+# Copy requirements first for better caching
+COPY requirements.txt /app/
 
-RUN pip install --upgrade pip
-RUN pip install -r requirements.txt
+# Install dependencies and upgrade pip
+RUN pip install --no-cache-dir --upgrade pip \
+    && pip install --no-cache-dir -r requirements.txt
 
-EXPOSE 7860
+# Copy remaining application code
+COPY . /app
 
-# Ensure logs directory exists
+# Create logs directory with proper permissions
 RUN mkdir -p /app/logs && chmod -R 777 /app/logs
 
-# Install tmux to run multiple processes
-RUN apt-get update && apt-get install -y tmux
+# Install additional dependencies
+RUN apt-get update && apt-get install -y tmux curl
+
+# Ensure the Hugging Face cache is set correctly
+ENV TRANSFORMERS_CACHE="/app/.cache/huggingface"
 
 # Set Python path
 ENV PYTHONPATH="/app/src"
 
-# Start FastAPI & Streamlit together using tmux
+# Add a script to manage process control
+COPY wait-for-it.sh /usr/local/bin/wait-for-it
+RUN chmod +x /usr/local/bin/wait-for-it
+
+# Expose ports for both FastAPI (8000) and Streamlit (7860)
+EXPOSE 8000 7860
 
-CMD ["sh", "-c", "fastapi dev src/backend/main.py --host 0.0.0.0 --port 8000 & sleep 5 && streamlit run src/frontend/home.py --server.port 7860 --server.address 0.0.0.0"]
+# Combined startup with better control
+CMD ["sh", "-c", "tmux new-session -d -s backend 'uvicorn src.backend.main:app --host 0.0.0.0 --port 8000' && /usr/local/bin/wait-for-it localhost:8000 --timeout=30 && streamlit run src/frontend/home.py --server.port 7860 --server.address 0.0.0.0"]

chroma.log

@@ -1,20 +0,0 @@
-WARNING:  [10-03-2025 20:07:32] chroma_server_nofile is not supported on Windows. chroma_server_nofile will not be set.
-WARNING:  [10-03-2025 20:07:51] chroma_server_nofile is not supported on Windows. chroma_server_nofile will not be set.
-INFO:     [10-03-2025 20:07:52] Anonymized telemetry enabled. See                     https://docs.trychroma.com/telemetry for more information.
-DEBUG:    [10-03-2025 20:07:52] Starting component System
-DEBUG:    [10-03-2025 20:07:52] Starting component OpenTelemetryClient
-DEBUG:    [10-03-2025 20:07:52] Starting component SqliteDB
-DEBUG:    [10-03-2025 20:07:52] Starting component SimpleQuotaEnforcer
-DEBUG:    [10-03-2025 20:07:52] Starting component Posthog
-DEBUG:    [10-03-2025 20:07:52] Starting component SimpleRateLimitEnforcer
-DEBUG:    [10-03-2025 20:07:52] Starting component LocalSegmentManager
-DEBUG:    [10-03-2025 20:07:52] Starting component LocalExecutor
-DEBUG:    [10-03-2025 20:07:52] Starting component SegmentAPI
-DEBUG:    [10-03-2025 20:07:52] Starting component SimpleAsyncRateLimitEnforcer
-INFO:     [10-03-2025 20:07:52] Started server process [17592]
-INFO:     [10-03-2025 20:07:52] Waiting for application startup.
-INFO:     [10-03-2025 20:07:52] Application startup complete.
-INFO:     [10-03-2025 20:07:52] Uvicorn running on http://localhost:8000 (Press CTRL+C to quit)
-INFO:     [10-03-2025 20:16:05] ::1:57148 - "GET /api/v2/auth/identity HTTP/1.1" 200
-INFO:     [10-03-2025 20:16:05] ::1:57149 - "GET /api/v2/tenants/default_tenant HTTP/1.1" 200
-INFO:     [10-03-2025 20:16:05] ::1:57149 - "GET /api/v2/tenants/default_tenant/databases/default_database HTTP/1.1" 200

requirements.txt

@@ -8,6 +8,4 @@ torch
 torchvision
 torchaudio
 sentence_transformers
-groq
-chromadb
-uvicorn
+groq

src/backend/models/embedding_model.py

@@ -1,11 +1,9 @@
 from sentence_transformers import SentenceTransformer
 from utils import logger
-from fastapi import UploadFile
-from PIL import Image
 
 logger = logger.get_logger()
 
-model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
+model = SentenceTransformer("all-MiniLM-L6-v2")
 
 def get_text_embedding(search_query: str):
     try: