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README.md

@@ -1,12 +1,13 @@
----
-title: Testfndetect
-emoji: 💻
-colorFrom: blue
-colorTo: red
-sdk: gradio
-sdk_version: 5.5.0
-app_file: app.py
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: test Fake News Recognition 
+emoji: 🙄
+colorFrom: indigo
+colorTo: purple
+sdk: gradio
+sdk_version: 4.44.0
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os
+if os.environ.get("SPACES_ZERO_GPU") is not None:
+    import spaces
+else:
+    class spaces:
+        @staticmethod
+        def GPU(func):
+            def wrapper(*args, **kwargs):
+                return func(*args, **kwargs)
+            return wrapper
+import gradio as gr
+import subprocess
+
+
+from transformers import pipeline
+MODEL = "winterForestStump/Roberta-fake-news-detector"
+clf = pipeline("text-classification", model=MODEL, tokenizer=MODEL)
+
+text = "From the very beginning, the EU has been extremely non-transparent. The deployment of the European Union presence in Armenia was carried out forcefully, under serious pressure from Brussels"
+
+
+@spaces.GPU
+def infer(text: str):
+    result = clf(text)
+    return result
+
+
+with gr.Blocks() as demo:
+    input_text= gr.Audio(label="Input", value=text, show_copy_button=True)
+    run_button = gr.Button("Run", variant="primary")
+    output_text = gr.Textbox(label="Output", value="", show_copy_button=True)
+
+    run_button.click(infer, [input_text], [output_text])
+
+demo.launch()

packages.txt

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+git lfs

pre-requirements.txt

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+pip>=24.1

requirements.txt

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+huggingface_hub
+torch
+transformers