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Update app.py
Browse files
app.py
CHANGED
@@ -1,6 +1,7 @@
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import os
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import gradio as gr
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import openai
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from PIL import Image, ImageEnhance
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import cv2
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import torch
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@@ -31,27 +32,32 @@ object_labels = [
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EXAMPLE_IMAGE_URL = "https://www.watercoloraffair.com/wp-content/uploads/2023/04/monet-houses-of-parliament-low-key.jpg" # Square example image
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example_image = Image.open(BytesIO(requests.get(EXAMPLE_IMAGE_URL).content))
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def process_chat(user_text):
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if not user_text.strip():
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yield "⚠️ Please enter a valid question."
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return
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try:
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# Use
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response =
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model="gpt-
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messages=[
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{"role": "system", "content": "You are a helpful assistant named Diane specializing in digital art advice."},
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{"role": "user", "content": user_text},
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],
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stream=True # Enable streaming
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)
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response_text = ""
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for chunk in response:
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if
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token = chunk.choices[0].delta["content"]
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response_text += token
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yield response_text
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except Exception as e:
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yield f"❌ An error occurred: {str(e)}"
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import os
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import gradio as gr
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import openai
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from openai import OpenAI
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from PIL import Image, ImageEnhance
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import cv2
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import torch
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EXAMPLE_IMAGE_URL = "https://www.watercoloraffair.com/wp-content/uploads/2023/04/monet-houses-of-parliament-low-key.jpg" # Square example image
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example_image = Image.open(BytesIO(requests.get(EXAMPLE_IMAGE_URL).content))
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# Initialize OpenAI client
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client = OpenAI()
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def process_chat(user_text):
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if not user_text.strip():
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yield "⚠️ Please enter a valid question."
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return
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try:
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# Use the client to create a completion
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response = client.chat.completions.create(
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model="gpt-4o",
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messages=[
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{"role": "system", "content": "You are a helpful assistant named Diane specializing in digital art advice."},
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{"role": "user", "content": user_text},
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],
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stream=True # Enable streaming
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)
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response_text = ""
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for chunk in response:
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if chunk.choices[0].delta.get("content"):
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token = chunk.choices[0].delta["content"]
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response_text += token
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yield response_text
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except Exception as e:
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yield f"❌ An error occurred: {str(e)}"
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