finally it work

Dockerfile

@@ -7,14 +7,16 @@ ENV LC_ALL=C.UTF-8
 RUN pip install --upgrade pip
 
 # Copy project files
-COPY . /app
+COPY /app /app
+COPY docker-compose.yml docker-compose.yml
+COPY Dockerfile Dockerfile
 
 # Install Python dependencies
-RUN pip install --no-cache-dir -r /app/app/requirements.txt
+RUN pip install --no-cache-dir -r /app/requirements.txt
 RUN pip install fastapi uvicorn
 
 # Expose FastAPI's default port
 EXPOSE 9090
 
 # Run FastAPI server when the container starts
-ENTRYPOINT ["uvicorn", "app.app.main:app", "--host", "0.0.0.0", "--port", "9090"]
+ENTRYPOINT ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "9090"]

app/main.py

@@ -8,7 +8,7 @@
 app = FastAPI()
 
 # Initialize the LLM model
-llm = Ollama(model="qwen2.5:0.5b", temperature=0.9,base_url='http://localhost:11434')
+llm = Ollama(model="qwen2.5:0.5b", temperature=0.9, base_url='http://ollama:11434')
 
 # Define the prompt template for translation
 prompt = PromptTemplate(

docker-compose.dev.yml

@@ -0,0 +1,33 @@
+version: '3.8'
+
+services:
+  langchain_api:
+    build: .
+    container_name: mindustry-gpt
+    pull_policy: always
+    restart: unless-stopped
+    ports:
+      - '9090:9090'
+    networks:
+      - my_network
+
+  ollama:
+    image: ollama/ollama:latest
+    container_name: ollama
+    ports:
+      - '11434:11434' # Default port for Ollama
+    volumes:
+      - ./ollama/ollama:/root/.ollama
+      - ollama_data:/root/.ollama
+    pull_policy: always
+    tty: true
+    restart: always
+    networks:
+      - my_network
+
+volumes:
+  ollama_data:
+
+networks:
+  my_network:
+    driver: bridge

docker-compose.yml

@@ -8,6 +8,9 @@ services:
     ports:
       - '9090:9090'
 
+    networks:
+      - my_network
+
   ollama:
     image: ollama/ollama:latest
     container_name: ollama
@@ -19,7 +22,12 @@ services:
     pull_policy: always
     tty: true
     restart: always
-
+    networks:
+      - my_network
 
 volumes:
   ollama_data:
+
+networks:
+  my_network:
+    driver: bridge