initial commit

app.py

@@ -1,50 +1,27 @@
-from newspaper import Article
-from newspaper import Config
-from datetime import datetime
-import nltk
-
-nltk.download("punkt")
-
 import gradio as gr
 
+title = "AI Multi Set"
 
-def summarize(url):
-    USER_AGENT = "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:96.0) Gecko/20100101 Firefox/96.0"
-    config = Config()
-    config.browser_user_agent = USER_AGENT
-    config.request_timeout = 10
-
-    article = Article(url, config=config)
-    try:
-        article.download()
-        article.parse()
-        article.nlp()
-        print("==========================", datetime.utcnow(), url, article.summary, sep="\n")
-    except Exception as e:
-        return f"Failed to summarize. Error: {e}"
-    return article.summary
-
-
-sample_url = [
-    [
-        "https://www.technologyreview.com/2021/07/22/1029973/deepmind-alphafold-protein-folding-biology-disease-drugs-proteome/"
-    ],
-    [
-        "https://www.technologyreview.com/2021/07/21/1029860/disability-rights-employment-discrimination-ai-hiring/"
-    ],
-    [
-        "https://www.technologyreview.com/2021/07/09/1028140/ai-voice-actors-sound-human/"
-    ],
+tts_examples = [
+    "I love learning machine learning",
+    "How do you do?",
 ]
 
+tts_demo = gr.Interface.load(
+    "huggingface.co/spaces/seawolf2357/multi_test",
+    title=None,
+    examples=tts_examples,
+    description="Give me something to say!",
+)
 
-iface = gr.Interface(
-    fn=summarize,
-    inputs=gr.inputs.Textbox(lines=2, label="URL"),
-    outputs="text",
-    title="News Summarizer",
-    theme="huggingface",
-    description="Fast and simple article summarizer. [Install iOS shortcut](https://www.icloud.com/shortcuts/a7e092bccae34551b24724798f195590) to use from your iPhone",
-    examples=sample_url,
+stt_demo = gr.Interface.load(
+    "huggingface.co/spaces/seawolf2357/PDF-text-extractor",
+    title=None,
+    inputs="mic",
+    description="Let me try to guess what you're saying!",
 )
-iface.launch()
+
+demo = gr.TabbedInterface([tts_demo, stt_demo], ["Text-to-speech", "Speech-to-text"])
+
+if __name__ == "__main__":
+    demo.launch()