Update utils.py
Browse files
utils.py
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@@ -417,6 +417,73 @@ def cancel_outputing():
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return "Stop Done"
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class State:
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interrupted = False
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return "Stop Done"
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#########################################
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#Bildbearbeitung
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#########################################
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#########################################
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#nicht im Einsatz, da Stable Diffusion die Bilder erzeugt
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def create_picture(history, prompt):
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client = OpenAI()
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response = client.images.generate(model="dall-e-3", prompt=prompt,size="1024x1024",quality="standard",n=1,)
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image_url = response.data[0].url
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# using requests library to get the image in bytes
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response2 = requests.get(image_url)
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# using the Image module from PIL library to view the image
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image = Image.open(response2.raw)
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return image
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##########################################
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#ein hochgeladenes Bild so vorbereiten, dass OpenAI API es annehmen kann und bearbeiten
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#muss ein base64 Bils sein und header und payload entsprechend konfigurieren
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def process_image(image_path, prompt):
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# Convert image to base64
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with open(image_path, "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
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# Prepare the data for the API request (specific to the API you're using)
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headers = {
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"Content-Type": "application/json",
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"Authorization": f"Bearer {OAI_API_KEY}"
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}
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payload = {
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"model": MODEL_NAME_IMAGE,
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"messages": [
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": prompt
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},
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{
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"type": "image_url",
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"image_url": {
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"url": f"data:image/jpeg;base64,{encoded_string}"
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}
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}
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]
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}
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],
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"max_tokens": 300
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}
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return headers, payload
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###################################################
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#zur Zeit nicht im Gebrauch
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def transfer_input(inputs):
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textbox = reset_textbox()
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return (
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inputs,
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gr.update(value=""),
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gr.Button.update(visible=True),
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)
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#################################################
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#Klasse mit zuständen - z.B. für interrupt wenn Stop gedrückt...
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#################################################
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class State:
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interrupted = False
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