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Runtime error
Runtime error
Upload 2 files
Browse files- app.py +8 -26
- requirements.txt +1 -2
app.py
CHANGED
@@ -84,6 +84,7 @@ def query_agent(description, question, image0, image1):
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return None, None
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def simulate(image0, image1):
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preferences = []
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reasons = []
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probs = []
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@@ -110,32 +111,13 @@ def simulate(image0, image1):
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subtitle = "Upload two images of emails and see which is generally preferred by Petco customers!"
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def download_file():
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return [gr.UploadButton(visible=True), gr.DownloadButton(visible=False)]
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with gr.Blocks() as demo:
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gr.Markdown("First upload a file and and then you'll be able download it (but only once!)")
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with gr.Row():
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u = gr.UploadButton("Upload a file", file_count="single")
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d = gr.DownloadButton("Download the file", visible=False)
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u.upload(upload_file, u, [u, d])
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d.click(download_file, None, [u, d])
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# demo = gr.Interface(fn=simulate,
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# inputs=[gr.UploadButton("Click to Upload Email 0", file_types=["image"], file_count="single"),
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# gr.UploadButton("Click to Upload Email 1", file_types=["image"], file_count="single")],
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# outputs="text",
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# title="Pairwise Simulation of Petco Email Preference",
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# description=subtitle
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# )
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if __name__ == "__main__":
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demo.launch()
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return None, None
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def simulate(image0, image1):
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print(image0, image1)
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preferences = []
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reasons = []
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probs = []
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subtitle = "Upload two images of emails and see which is generally preferred by Petco customers!"
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demo = gr.Interface(fn=simulate,
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inputs=[gr.UploadButton("Click to Upload Email 0", file_types=["image"], file_count="single"),
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gr.UploadButton("Click to Upload Email 1", file_types=["image"], file_count="single")],
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outputs="text",
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title="Pairwise Simulation of Petco Email Preference",
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description=subtitle
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)
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
CHANGED
@@ -2,5 +2,4 @@ openai
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https://gradio-builds.s3.amazonaws.com/75ed61524f55e542414d165ed60a976091c24f77/gradio-3.16.2-py3-none-any.whl
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pandas
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numpy
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datasets
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pathlib
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https://gradio-builds.s3.amazonaws.com/75ed61524f55e542414d165ed60a976091c24f77/gradio-3.16.2-py3-none-any.whl
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pandas
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numpy
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datasets
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