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Update app.py
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app.py
CHANGED
@@ -1,6 +1,7 @@
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import gradio as gr
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from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
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import torch
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# Cell 1: Image Classification Model
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image_pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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@@ -14,6 +15,7 @@ image_gradio_app = gr.Interface(
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inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
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outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
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title="Hot Dog? Or Not?",
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)
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# Cell 2: Chatbot Model
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@@ -32,6 +34,7 @@ def predict_chatbot(input, history=[]):
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chatbot_gradio_app = gr.ChatInterface(
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fn=predict_chatbot,
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title="Greta",
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)
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# Combine both interfaces into a single app
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import gradio as gr
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from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
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import torch
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import greta_theme
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# Cell 1: Image Classification Model
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image_pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
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outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
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title="Hot Dog? Or Not?",
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theme=greta_theme
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)
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# Cell 2: Chatbot Model
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chatbot_gradio_app = gr.ChatInterface(
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fn=predict_chatbot,
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title="Greta",
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theme=greta_theme
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)
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# Combine both interfaces into a single app
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