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Update app.py
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app.py
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import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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client = InferenceClient("EvanZhouDev/open-genmoji", token=os.getenv("HUGGINGFACE_API_TOKEN"))
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llm = InferenceClient("Qwen/Qwen2.5-72B-Instruct")
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# Define the process function that takes a text prompt and returns an image
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def process(prompt):
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completion = llm.chat_completion(messages, max_tokens=100)
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response = completion.get("choices")[0].get("message").get("content").replace("```", "").replace("\n", "")
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print(response)
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image = client.text_to_image(response)
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return image
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# Create a Gradio Blocks app
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import gradio as gr
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from huggingface_hub import InferenceClient
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import os
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from datetime import datetime
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client = InferenceClient("EvanZhouDev/open-genmoji", token=os.getenv("HUGGINGFACE_API_TOKEN"))
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llm = InferenceClient("Qwen/Qwen2.5-72B-Instruct")
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try:
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os.mkdir("outputs")
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except FileExistsError:
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print("Folder already exists.")
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try:
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os.mkdir("outputs/images")
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except FileExistsError:
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print("Folder already exists.")
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# Define the process function that takes a text prompt and returns an image
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def process(prompt):
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]
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completion = llm.chat_completion(messages, max_tokens=100)
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response = completion.get("choices")[0].get("message").get("content").replace("```", "").replace("\n", "")
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print(response)
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time = str(datetime.now())
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image = client.text_to_image(response)
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image.save("outputs/images/" + time)
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with open("outputs/" + time + ".json", "wb") as f:
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f.write({"prompt": prompt, "refined_prompt": response, "image": "outputs/images/" + time})
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return image
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# Create a Gradio Blocks app
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