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Update app.py
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app.py
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@@ -1,6 +1,8 @@
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import os
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from huggingface_hub import Repository
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import numpy as np
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# Retrieve the token from the environment variables
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token = os.environ.get("token")
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@@ -74,10 +76,26 @@ def predict(input_img):
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results = {top_10_predictions[i]: float(top_10_probabilities[i]) for i in range(10)}
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return results
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gradio_app = gr.Interface(
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fn=
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inputs=gr.Image(label="Upload an Image", type="pil"),
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outputs=gr.
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title="Predict the Location of this Image"
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)
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import os
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from huggingface_hub import Repository
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import numpy as np
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import pandas as pd
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# Retrieve the token from the environment variables
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token = os.environ.get("token")
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results = {top_10_predictions[i]: float(top_10_probabilities[i]) for i in range(10)}
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return results
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def create_bar_plot(predictions):
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data = pd.DataFrame(list(predictions.items()), columns=["Location", "Probability"])
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return gr.BarPlot(
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data,
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x="Location",
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y="Probability",
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title="Top 10 Predictions with Probabilities",
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tooltip=["Location", "Probability"],
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y_lim=[0, 1]
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)
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def predict_and_plot(input_img):
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predictions = predict(input_img)
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return create_bar_plot(predictions)
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gradio_app = gr.Interface(
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fn=predict_and_plot,
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inputs=gr.Image(label="Upload an Image", type="pil"),
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outputs=gr.BarPlot(),
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title="Predict the Location of this Image"
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)
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