Uploading food not food text classifier demo app.py

README.md

@@ -1,12 +1,9 @@
 ---
-title: Learn Hf Food Not Food Text Classifier Demo
-emoji: 🌍
-colorFrom: purple
-colorTo: purple
+title: Food Not Food Classifier
+colorFrom: blue
+colorTo: yellow
 sdk: gradio
-sdk_version: 5.1.0
 app_file: app.py
 pinned: false
+license: apache-2.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+
+import torch
+import gradio as gr
+
+from typing import Dict
+from transformers import pipeline
+
+def food_not_food_classifier(text: str) -> Dict[str, float]:
+  food_not_food_classifier = pipeline(task="text-classification",
+                                      model="tanvircr7/learn_hf_food_not_food_text_classifier-distilbert-base-uncased",
+                                      device="cuda" if torch.cuda.is_available() else "cpu",
+                                      top_k=None)
+  outputs = food_not_food_classifier(text)[0]
+  output_dict = {}
+  for item in outputs:
+    output_dict[item["label"]] = item["score"]
+  return output_dict
+
+description = """
+A text classifier to determine if a sentence is about food or not food.
+Fine-tuned from DistilBERT
+"""
+
+demo = gr.Interface(fn=food_not_food_classifier,
+                    inputs="text",
+                    outputs=gr.Label(num_top_classes=2),
+                    title="Food or Not Food Text Classifier",
+                    description=description,
+                    examples=[["I whipped up a fresh batch of code"],["A delicious photo of a plate"]]
+)
+
+if __name__ == "__main__":
+  demo.launch()

requirements.txt

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+gradio
+torch
+transformers