Add printing of the text part of the retrieved message for proper encoding

.gitignore

@@ -1,5 +1,6 @@
 # Sensitive files
 config.py
+*.png
 
 # ---> Python
 # Byte-compiled / optimized / DLL files

README.md

@@ -27,6 +27,7 @@ You can manipulate the main abstractions of the OpenAI model:
   | --------------------------------------- | ----------------- | --------------- | --------------- | -------------------------------------------------------- |
   | `cancel_model_response.py`              | `response_id`     |                 |                 | Cancel a Response running in the background              |
   | `create_conversation.py`                |                   |                 |                 | Create a new Conversation                                |
+  | `create_image.py`                       | `model_id`        | `prompt`        |                 | Create an image based on the prompt description          |
   | `create_model_response.py`              | `conversation_id` | `model_id`      | `input_message` | Create a Response within a Conversation                  |
   | `create_text_item.py`                   | `conversation_id` | `input_message` |                 | Create a user input or instruction within a Conversation |
   | `create_vector_store.py`                |                   |                 |                 | Create a Vector Store                                    |
@@ -42,6 +43,7 @@ You can manipulate the main abstractions of the OpenAI model:
   | `list_items.py`                         | `conversation_id` |                 |                 | List all Items (inputs or Responses) in a Conversation   |
   | `list_vector_store_files.py`            | `vector_store_id` |                 |                 | List all Files in a Vector Store                         |
   | `list_vector_stores.py`                 |                   |                 |                 | List all Vector Stores                                   |
+  | `modify_vector_store.py`                | `vector_store_id` | `metadata`      |                 | Update a Vector Store metadata                           |
   | `retrieve_conversation.py`              | `conversation_id` |                 |                 | Retrieve a Conversation                                  |
   | `retrieve_file.py`                      | `file_id`         |                 |                 | Retrieve a File                                          |
   | `retrieve_file_content.py`              | `file_id`         |                 |                 | Retrieve the content of File                             |
@@ -51,6 +53,7 @@ You can manipulate the main abstractions of the OpenAI model:
   | `retrieve_vector_store_file.py`         | `vector_store_id` | `file_id`       |                 | Retrieve a File from a Vector Store                      |
   | `retrieve_vector_store_file_content.py` | `vector_store_id` | `file_id`       |                 | Retrieve the content of a File from a Vector Store       |
   | `update_conversation.py`                | `conversation_id` | `metadata`      |                 | Update a Conversation metadata                           |
+  | `update_vector_store_file.py`           | `vector_store_id` | `file_id`       | `attributes`    | Update a File attributes                                 |
   | `upload_file.py`                        | `filename`        | `path-to-file`  |                 | Upload a File to the OpenAI platform                     |
 
 * To execute these scripts run `python3 <script.py> <parameter_1> ...`.

SECURITY.md

@@ -4,6 +4,8 @@
 
 | Version | Supported          |
 | ------- | ------------------ |
+| 0.4.x   | :heavy_check_mark: |
+| 0.3.x   | :heavy_check_mark: |
 | 0.2.x   | :heavy_check_mark: |
 | 0.1.x   | :heavy_check_mark: |
 

create_image.py

@@ -0,0 +1,33 @@
+from config import *
+import requests
+import json
+import sys
+import base64
+from PIL import Image
+from io import BytesIO
+from datetime import datetime
+
+def create_image(model,prompt):
+    url = base_url+"images/generations"
+
+    payload = json.dumps({
+      "prompt": prompt,
+      "model": model
+    })
+    headers = {
+      'Content-Type': 'application/json',
+      'Authorization': 'Bearer '+secret_key,
+    }
+    date_time_string = datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+    decoded_bytes = base64.b64decode(response.json()["data"][0]["b64_json"])
+    byte_stream = BytesIO(decoded_bytes)
+    image = Image.open(byte_stream)
+    image.save("./output_images/output-"+date_time_string+".png", "PNG")
+
+    print("Image ./output_images/output-"+date_time_string+".png has been generated.")
+
+
+if __name__ == '__main__':
+    create_image(str(sys.argv[1]),str(sys.argv[2]))

modify_vector_store.py

@@ -0,0 +1,22 @@
+from config import *
+import requests
+import json
+import sys
+
+def modify_vector_store(vector_store_id,metadata):
+    url = base_url+"vector_stores/"+vector_store_id
+
+    payload = json.dumps({
+      "metadata": json.loads(metadata)
+    })
+    headers = {
+      'Content-Type': 'application/json',
+      'Authorization': 'Bearer '+secret_key,
+    }
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+
+    print(response.text)
+
+if __name__ == '__main__':
+    modify_vector_store(str(sys.argv[1]),str(sys.argv[2]))

retrieve_item.py

@@ -13,6 +13,7 @@ def retrieve_item(conversation,message):
     response = requests.request("GET", url, headers=headers, data=payload)
 
     print(response.text)
+    print(response.json()["content"][0]["text"])
 
 
 if __name__ == '__main__':

update_vector_store_file.py

@@ -0,0 +1,22 @@
+from config import *
+import requests
+import json
+import sys
+
+def update_vector_store_file(vector_store_id,file_id,attributes):
+    url = base_url+"vector_stores/"+vector_store_id+"/files/"+file_id
+
+    payload = json.dumps({
+      "attributes": json.loads(attributes)
+    })
+    headers = {
+      'Content-Type': 'application/json',
+      'Authorization': 'Bearer '+secret_key,
+    }
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+
+    print(response.text)
+
+if __name__ == '__main__':
+    update_vector_store_file(str(sys.argv[1]),str(sys.argv[2]),str(sys.argv[3]))