Add: input image field for create_image.py
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README.md
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README.md
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@ -23,37 +23,37 @@ You can manipulate the main abstractions of the OpenAI model:
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* Each script has a number of mandatory parameters in strict order:
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| Script | Parameter 1 | Parameter 2 | Parameter 3 | Purpose |
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| --------------------------------------- | ----------------- | --------------- | --------------- | -------------------------------------------------------- |
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| `cancel_model_response.py` | `response_id` | | | Cancel a Response running in the background |
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| `create_conversation.py` | | | | Create a new Conversation |
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| `create_image.py` | `model_id` | `prompt` | | Create an image based on the prompt description |
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| `create_model_response.py` | `conversation_id` | `model_id` | `input_message` | Create a Response within a Conversation |
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| `create_text_item.py` | `conversation_id` | `input_message` | | Create a user input or instruction within a Conversation |
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| `create_vector_store.py` | | | | Create a Vector Store |
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| `create_vector_store_file.py` | `vector_store_id` | `file_id` | | Create a File in a Vector Store |
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| `delete_conversation.py` | `conversation_id` | | | Delete a Conversation |
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| `delete_file.py` | `file_id` | | | Delete a File |
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| `delete_item.py` | `conversation_id` | `item_id` | | Delete an Item (input or Response) from a Conversation |
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| `delete_model_response.py` | `response_id` | | | Delete a Response |
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| `delete_vector_store.py` | `vector_store_id` | | | Delete a Vector Store |
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| `delete_vector_store_file.py` | `vector_store_id` | `file_id` | | Delete a File from a Vector Store |
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| `list_files.py` | | | | List all uploaded Files |
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| `list_input_items.py` | `response_id` | | | List all input Items used to generate a Response |
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| `list_items.py` | `conversation_id` | | | List all Items (inputs or Responses) in a Conversation |
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| `list_vector_store_files.py` | `vector_store_id` | | | List all Files in a Vector Store |
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| `list_vector_stores.py` | | | | List all Vector Stores |
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| `modify_vector_store.py` | `vector_store_id` | `metadata` | | Update a Vector Store metadata |
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| `retrieve_conversation.py` | `conversation_id` | | | Retrieve a Conversation |
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| `retrieve_file.py` | `file_id` | | | Retrieve a File |
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| `retrieve_file_content.py` | `file_id` | | | Retrieve the content of File |
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| `retrieve_item.py` | `conversation_id` | `item_id` | | Retrieve an Item from a Conversation |
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| `retrieve_model_response.py` | `response_id` | | | Retrieve a model Response |
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| `retrieve_vector_store.py` | `vector_store_id` | | | Retrieve a Vector Store |
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| `retrieve_vector_store_file.py` | `vector_store_id` | `file_id` | | Retrieve a File from a Vector Store |
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| `retrieve_vector_store_file_content.py` | `vector_store_id` | `file_id` | | Retrieve the content of a File from a Vector Store |
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| `update_conversation.py` | `conversation_id` | `metadata` | | Update a Conversation metadata |
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| `update_vector_store_file.py` | `vector_store_id` | `file_id` | `attributes` | Update a File attributes |
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| `upload_file.py` | `filename` | `path-to-file` | | Upload a File to the OpenAI platform |
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| | Script | Parameter 1 | Parameter 2 | Parameter 3 | Purpose |
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| --- | --------------------------------------- | ----------------- | --------------- | --------------- | ------------------------------------------------------------------------- |
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| | `cancel_model_response.py` | `response_id` | | | Cancel a Response running in the background |
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| | `create_conversation.py` | | | | Create a new Conversation |
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| | `create_image.py` | `model_id` | `prompt` | `image.png` | Create an image based on the prompt description and/or the image provided |
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| | `create_model_response.py` | `conversation_id` | `model_id` | `input_message` | Create a Response within a Conversation |
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| | `create_text_item.py` | `conversation_id` | `input_message` | | Create a user input or instruction within a Conversation |
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| | `create_vector_store.py` | | | | Create a Vector Store |
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| | `create_vector_store_file.py` | `vector_store_id` | `file_id` | | Create a File in a Vector Store |
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| | `delete_conversation.py` | `conversation_id` | | | Delete a Conversation |
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| | `delete_file.py` | `file_id` | | | Delete a File |
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| | `delete_item.py` | `conversation_id` | `item_id` | | Delete an Item (input or Response) from a Conversation |
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| | `delete_model_response.py` | `response_id` | | | Delete a Response |
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| | `delete_vector_store.py` | `vector_store_id` | | | Delete a Vector Store |
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| | `delete_vector_store_file.py` | `vector_store_id` | `file_id` | | Delete a File from a Vector Store |
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| | `list_files.py` | | | | List all uploaded Files |
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| | `list_input_items.py` | `response_id` | | | List all input Items used to generate a Response |
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| | `list_items.py` | `conversation_id` | | | List all Items (inputs or Responses) in a Conversation |
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| | `list_vector_store_files.py` | `vector_store_id` | | | List all Files in a Vector Store |
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| | `list_vector_stores.py` | | | | List all Vector Stores |
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| | `modify_vector_store.py` | `vector_store_id` | `metadata` | | Update a Vector Store metadata |
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| | `retrieve_conversation.py` | `conversation_id` | | | Retrieve a Conversation |
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| | `retrieve_file.py` | `file_id` | | | Retrieve a File |
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| | `retrieve_file_content.py` | `file_id` | | | Retrieve the content of File |
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| | `retrieve_item.py` | `conversation_id` | `item_id` | | Retrieve an Item from a Conversation |
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| | `retrieve_model_response.py` | `response_id` | | | Retrieve a model Response |
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| | `retrieve_vector_store.py` | `vector_store_id` | | | Retrieve a Vector Store |
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| | `retrieve_vector_store_file.py` | `vector_store_id` | `file_id` | | Retrieve a File from a Vector Store |
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| | `retrieve_vector_store_file_content.py` | `vector_store_id` | `file_id` | | Retrieve the content of a File from a Vector Store |
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| | `update_conversation.py` | `conversation_id` | `metadata` | | Update a Conversation metadata |
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| | `update_vector_store_file.py` | `vector_store_id` | `file_id` | `attributes` | Update a File attributes |
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| | `upload_file.py` | `filename` | `path-to-file` | | Upload a File to the OpenAI platform |
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* To execute these scripts run `python3 <script.py> <parameter_1> ...`.
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@ -7,20 +7,40 @@ from PIL import Image
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from io import BytesIO
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from datetime import datetime
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def create_image(model,prompt):
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def create_image(model,prompt,image_path=None):
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# choose endpoint depending on whether an image is provided
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if image_path:
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url = base_url+"images/edits"
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else:
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url = base_url+"images/generations"
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payload = json.dumps({
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"prompt": prompt,
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"model": model
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})
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headers = {
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'Content-Type': 'application/json',
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'Authorization': 'Bearer '+secret_key,
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}
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date_time_string = datetime.now().strftime("%Y-%m-%d-%H-%M-%S")
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response = requests.request("POST", url, headers=headers, data=payload)
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if image_path:
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# For edits, use multipart/form-data
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data = {
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"prompt": prompt,
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"model": model
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}
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files = {
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"image": open(image_path, "rb")
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}
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response = requests.post(url, headers=headers, data=data, files=files)
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else:
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# For generations, use JSON
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payload = json.dumps({
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"prompt": prompt,
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"model": model
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})
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headers['Content-Type'] = 'application/json'
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response = requests.post(url, headers=headers, data=payload)
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if response.status_code != 200:
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print(f"Error: {response.status_code} - {response.text}")
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sys.exit(1)
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# handle response data: both generation and edits return b64_json in data[0]
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decoded_bytes = base64.b64decode(response.json()["data"][0]["b64_json"])
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byte_stream = BytesIO(decoded_bytes)
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image = Image.open(byte_stream)
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@ -30,4 +50,8 @@ def create_image(model,prompt):
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if __name__ == '__main__':
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create_image(str(sys.argv[1]),str(sys.argv[2]))
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# usage: python create_image.py <model> <prompt> [image_path]
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model = str(sys.argv[1]) if len(sys.argv) > 1 else ''
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prompt = str(sys.argv[2]) if len(sys.argv) > 2 else ''
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image_path = str(sys.argv[3]) if len(sys.argv) > 3 else None
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create_image(model,prompt,image_path)
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