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Runtime error
Update app.py
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app.py
CHANGED
@@ -12,6 +12,11 @@ from scipy.io.wavfile import write
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import PIL
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from openai import OpenAI
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import time
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dotenv.load_dotenv()
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seamless_client = Client("facebook/seamless_m4t")
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@@ -81,32 +86,91 @@ def process_speech(input_language, audio_input):
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except Exception as e :
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return f"{e}"
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def
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payload = {
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],
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}
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#
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def query_vectara(text):
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import PIL
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from openai import OpenAI
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import time
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from PIL import Image
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import io
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import hashlib
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import datetime
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dotenv.load_dotenv()
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seamless_client = Client("facebook/seamless_m4t")
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except Exception as e :
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return f"{e}"
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def decode_image(encoded_image: str) -> Image:
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decoded_bytes = base64.b64decode(encoded_image.encode("utf-8"))
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buffer = io.BytesIO(decoded_bytes)
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image = Image.open(buffer)
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return image
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def encode_image(image: Image.Image, format: str = "PNG") -> str:
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with io.BytesIO() as buffer:
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image.save(buffer, format=format)
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encoded_image = base64.b64encode(buffer.getvalue()).decode("utf-8")
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return encoded_image
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def get_conv_log_filename():
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t = datetime.datetime.now()
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name = os.path.join(LOGDIR, f"{t.year}-{t.month:02d}-{t.day:02d}-conv.json")
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return name
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def get_conv_image_dir():
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name = os.path.join(LOGDIR, "images")
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os.makedirs(name, exist_ok=True)
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return name
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def get_image_name(image, image_dir=None):
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buffer = io.BytesIO()
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image.save(buffer, format="PNG")
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image_bytes = buffer.getvalue()
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md5 = hashlib.md5(image_bytes).hexdigest()
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if image_dir is not None:
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image_name = os.path.join(image_dir, md5 + ".png")
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else:
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image_name = md5 + ".png"
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return image_name
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def resize_image(image, max_size):
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width, height = image.size
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aspect_ratio = float(width) / float(height)
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if width > height:
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new_width = max_size
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new_height = int(new_width / aspect_ratio)
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else:
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new_height = max_size
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new_width = int(new_height * aspect_ratio)
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resized_image = image.resize((new_width, new_height))
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return resized_image
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def process_image(image_input, text_input):
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# Resize the image if needed
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max_image_size = 1024 # You can adjust this size
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image = resize_image(image_input, max_image_size)
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# Encode the image to base64
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base64_image_str = encode_image(image)
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# Prepare the payload for the HTTP request
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payload = {
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"content": [
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{
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"prompt": text_input,
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"image": base64_image_str,
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}
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],
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"token": "sk-OtterHD", # Replace with your actual token
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}
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# Specify the URL for the HTTP request
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url = "https://ensures-picture-choices-labels.trycloudflare.com/app/otter"
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headers = {"Content-Type": "application/json"}
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# Make the HTTP request
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response = requests.post(url, headers=headers, data=json.dumps(payload))
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if response.status_code == 200:
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results = response.json()
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return results["result"]
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else:
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return f"Error: {response.status_code}, {response.text}"
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def query_vectara(text):
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