README.md

@@ -75,15 +75,15 @@ To install Devika, follow these steps:
 
 1. Clone the Devika repository:
    ```bash
-   git clone https://git.telavivmakers.space/ro/prompt2code.git
+   git clone https://github.com/stitionai/devika.git
    ```
 2. Navigate to the project directory:
    ```bash
-   cd prompt2code
+   cd devika
    ```
 3. Create a virtual environment and install the required dependencies (you can use any virtual environment manager):
    ```bash
-   python -m venv venv
+   uv venv
    
    # On macOS and Linux.
    source .venv/bin/activate

challange.md

@@ -1,22 +0,0 @@
-# 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:
-
-```bash
-nvidia-smi
-```
-
-Steps:
-
-1. Install and set up Devika on TAMI computer with llama
-
-2. How does Devika work under the hood? 
- - Is it using the same LLM thread or is it different for each iteration? 
- - How does it generate the plan?
-
-- Fix : the bug that saves the file names wraped with `` !!!
-- Add logs to all files 

docker-compose.yaml

@@ -1,29 +1,27 @@
 version: "3.9"
 
 services:
-  # ollama is running locally
+  ollama-service:
-  # ollama-service:
+    image: ollama/ollama:latest
-  #   image: ollama/ollama:latest
+    expose:
-  #   expose:
+      - 11434
-  #     - 11434
+    ports:
-  #   ports:
+      - 11434:11434
-  #     - 11434:11434
+    healthcheck:
-  #   healthcheck:
+      test: ["CMD-SHELL", "curl -f http://localhost:11434/ || exit 1"]
-  #     test: ["CMD-SHELL", "curl -f http://localhost:11434/ || exit 1"]
+      interval: 5s
-  #     interval: 5s
+      timeout: 30s
-  #     timeout: 30s
+      retries: 5
-  #     retries: 5
+      start_period: 30s
-  #     start_period: 30s
+    networks:
-  #   networks:
+      - devika-subnetwork
-  #     - devika-subnetwork
 
   devika-backend-engine:
     build:
       context: .
       dockerfile: devika.dockerfile
-    # ollama is running locally
+    depends_on:
-    # depends_on: 
+      - ollama-service
-    #   - ollama-service
     expose:
       - 1337
     ports: