removed import requests.py

modules/import requests.py

@@ -1,86 +0,0 @@
-import requests
-import io
-import os.path
-from PIL import Image
-from config import Config
-import uuid
-import openai
-from base64 import b64decode
-
-cfg = Config()
-
-working_directory = "auto_gpt_workspace"
-
-
-def generate_image(prompt):
-
-    filename = str(uuid.uuid4()) + ".jpg"
-
-    # DALL-E
-    if cfg.image_provider == 'dalle':
-
-        openai.api_key = cfg.openai_api_key
-
-        response = openai.Image.create(
-            prompt=prompt,
-            n=1,
-            size="256x256",
-            response_format="b64_json",
-        )
-
-        print("Image Generated for prompt:" + prompt)
-
-        image_data = b64decode(response["data"][0]["b64_json"])
-
-        with open(working_directory + "/" + filename, mode="wb") as png:
-            png.write(image_data)
-
-        return "Saved to disk:" + filename
-
-    # STABLE DIFFUSION
-    elif cfg.image_provider == 'sd':
-
-        API_URL = "https://api-inference.huggingface.co/models/CompVis/stable-diffusion-v1-4"
-        headers = {"Authorization": "Bearer " + cfg.huggingface_api_token}
-
-        response = requests.post(API_URL, headers=headers, json={
-            "inputs": prompt,
-        })
-
-        image = Image.open(io.BytesIO(response.content))
-        print("Image Generated for prompt:" + prompt)
-
-        image.save(os.path.join(working_directory, filename))
-
-        return "Saved to disk:" + filename
-
-    elif cfg.image_provider == 'sdwu':
-        API_URL = "http://10.6.9.69:7860"
-        if payload is None:
-            payload = {
-                "prompt": prompt,
-            }
-
-        payload['prompt'] = prompt
-
-        settings = {
-            "enable_pnginfo": False,
-        }
-
-        override_payload = {
-            "override_settings": settings
-        }
-
-        payload.update(override_payload)
-
-        request = requests.post("/sdapi/v1/txt2img", json=payload)
-
-        image_data = request.json()
-        image = Image.open(io.BytesIO(image_data["images"][0]))
-        print("Image Generated for prompt:" + prompt)
-
-        image.save(os.path.join(working_directory, filename))
-
-        return "Saved to disk:" + filename
-    else:
-        return "No Image Provider Set"