diff --git a/README.md b/README.md index f1c7894..9e6e78c 100644 --- a/README.md +++ b/README.md @@ -75,7 +75,7 @@ To install Devika, follow these steps: 1. Clone the Devika repository: ```bash - git clone https://github.com/stitionai/devika.git + git clone https://git.telavivmakers.space/ro/prompt2code.git ``` 2. Navigate to the project directory: ```bash @@ -83,7 +83,7 @@ To install Devika, follow these steps: ``` 3. Create a virtual environment and install the required dependencies (you can use any virtual environment manager): ```bash - uv venv + python -m venv venv # On macOS and Linux. source .venv/bin/activate diff --git a/challange.md b/challange.md index 12e7c43..2d191ec 100644 --- a/challange.md +++ b/challange.md @@ -1,5 +1,7 @@ # Challenge: Generate img2vid using GenAI only! +To generate a video from images using GenAI, we must first set up and Devika IDE for the TAMI server and then fix it to generate the code for the img2vid task. + Tech specs: Find the Tesla-P40 spec on the TAMI server using the following command: diff --git a/docker-compose.yaml b/docker-compose.yaml index cb7d06c..1abfccc 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -1,27 +1,29 @@ version: "3.9" services: - ollama-service: - image: ollama/ollama:latest - expose: - - 11434 - ports: - - 11434:11434 - healthcheck: - test: ["CMD-SHELL", "curl -f http://localhost:11434/ || exit 1"] - interval: 5s - timeout: 30s - retries: 5 - start_period: 30s - networks: - - devika-subnetwork + # ollama is running locally + # ollama-service: + # image: ollama/ollama:latest + # expose: + # - 11434 + # ports: + # - 11434:11434 + # healthcheck: + # test: ["CMD-SHELL", "curl -f http://localhost:11434/ || exit 1"] + # interval: 5s + # timeout: 30s + # retries: 5 + # start_period: 30s + # networks: + # - devika-subnetwork devika-backend-engine: build: context: . dockerfile: devika.dockerfile - depends_on: - - ollama-service + # ollama is running locally + # depends_on: + # - ollama-service expose: - 1337 ports: