Adding Docker Container

.env

@@ -1 +1 @@
-API_KEY = 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
+GROQ_API_KEY=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

Dockerfile

@@ -1,18 +1,27 @@
-FROM python:3.11
+# Use the Qdrant image with the patent database as a base
+FROM kushagrash13/qdrant_with_patent_database:latest
 
+# Install Python
+RUN apt-get update && apt-get install -y python3-pip
+
+# Set working directory
 WORKDIR /code
 
+# Copy requirements and install
 COPY ./requirements.txt /code/requirements.txt
-
 RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
 
+# Add a user and set environment variables
 RUN useradd -m -u 1000 user
 USER user
 ENV HOME=/home/user \
-	PATH=/home/user/.local/bin:$PATH
+    PATH=/home/user/.local/bin:$PATH
 
+# Set working directory for the app
 WORKDIR $HOME/app
 
+# Copy app code
 COPY --chown=user . $HOME/app
 
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+# Start Qdrant and the application
+CMD ["sh", "-c", "qdrant & sleep 5 && uvicorn app:app --host 0.0.0.0 --port 7860"]

app.py

@@ -29,11 +29,11 @@ config = {
     'threads': int(os.cpu_count() / 2)
 }
 
-api_key = os.environ.get("API_KEY")
+api_key = os.environ.get("GROQ_API_KEY")
 
 llm = ChatGroq(
     model="mixtral-8x7b-32768",
-    api_key=api_key,
+    api_key='gsk_I8f2KAiXaThmX9T9LkTUWGdyb3FY9GRYuuMrw36GmZxsLGU8Coh',
     )
 
 
@@ -51,7 +51,7 @@ Helpful answer:
 
 embeddings = SentenceTransformerEmbeddings(model_name="BAAI/bge-large-en")
 
-url = "kushagrash13/patent:latest"
+url = "http://localhost:6333"
 
 client = QdrantClient(
     url=url, prefer_grpc=False

docker-compose.yml

@@ -0,0 +1,12 @@
+version: '3.8'
+
+services:
+  qdrant:
+    image: <your_dockerhub_username>/qdrant_with_patent_database:latest
+    ports:
+      - "6333:6333"
+    volumes:
+      - qdrant_data:/qdrant/data
+
+volumes:
+  qdrant_data: