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Revert "few updates"
Browse filesThis reverts commit c81aabf7d1ac857cc3ede47c5601be1d17f0451e.
- app_dialogue.py +5 -9
app_dialogue.py
CHANGED
@@ -66,7 +66,7 @@ BAN_TOKENS = ( # For documentation puporse. We are not using this list, it is h
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EOS_STRINGS = ["<end_of_utterance>", "\nUser:"]
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STOP_SUSPECT_LIST = []
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GRADIO_LINK = "https://
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API_TOKEN = os.getenv("HF_AUTH_TOKEN")
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IDEFICS_LOGO = "https://huggingface.co/spaces/HuggingFaceM4/idefics_playground/resolve/main/IDEFICS_logo.png"
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@@ -156,7 +156,7 @@ for image_dir in os.listdir("example_images"):
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tmp_filename = H.preprocess(H.value)
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DEFAULT_IMAGES_TMP_PATH_TO_URL[
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tmp_filename
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] = f"https://huggingface.co/spaces/
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# Utils to handle the image markdown display logic
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@@ -792,12 +792,8 @@ with gr.Blocks(title="AI Meme Generator", theme=gr.themes.Base(), css=css) as de
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text_at_the_top,
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generation_args,
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):
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text = client.generate(prompt=query, **generation_args).generated_text
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except Exception as e:
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print(e)
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text = "BACKEND ERROR"
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if image is not None and text != "":
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meme_image = make_meme_image(
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image=image,
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@@ -1011,4 +1007,4 @@ with gr.Blocks(title="AI Meme Generator", theme=gr.themes.Base(), css=css) as de
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outputs=[template_gallery],
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)
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demo.queue(concurrency_count=8, max_size=40, api_open=False)
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demo.launch(max_threads=400
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EOS_STRINGS = ["<end_of_utterance>", "\nUser:"]
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STOP_SUSPECT_LIST = []
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+
GRADIO_LINK = "https://huggingfacem4-ai-meme-generator.hf.space"
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API_TOKEN = os.getenv("HF_AUTH_TOKEN")
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IDEFICS_LOGO = "https://huggingface.co/spaces/HuggingFaceM4/idefics_playground/resolve/main/IDEFICS_logo.png"
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tmp_filename = H.preprocess(H.value)
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DEFAULT_IMAGES_TMP_PATH_TO_URL[
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tmp_filename
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] = f"https://huggingface.co/spaces/HuggingFaceM4/AI_Meme_Generator/resolve/main/example_images/{image_dir}/{im_path}"
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# Utils to handle the image markdown display logic
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text_at_the_top,
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generation_args,
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):
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time.sleep(random.uniform(0, 1))
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text = client.generate(prompt=query, **generation_args).generated_text
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if image is not None and text != "":
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meme_image = make_meme_image(
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image=image,
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outputs=[template_gallery],
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)
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demo.queue(concurrency_count=8, max_size=40, api_open=False)
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demo.launch(max_threads=400)
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