Delete app.py

app.py

@@ -1,70 +0,0 @@
-from newspaper import Article
-from langchain.chat_models import ChatGooglePalm
-from langchain.schema import HumanMessage
-# from dotenv import load_dotenv
-import requests
-import os
-import gradio as gr
-
-
-# load_dotenv()  #take environment variable from .env
-
-
-chat = ChatGooglePalm(google_api_key=os.getenv("GOOGLE_API_KEY"), temperature=0)
-
-headers = {
-    "User-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.82 Safari/537.36"
-}
-
-article_url
-print("\n")
-
-session = requests.Session()
-
-try:
-    response = session.get(article_url, headers=headers, timeout=10)
-
-    if response.status_code == 200:
-        arts = Article(article_url)
-        arts.download()
-        arts.parse()
-
-        print(f"Title: {arts.title}")
-        # print(f"Text: {article.text}")
-
-    else:
-        print(f"Failed to fetch article at {article_url}")
-
-except Exception as e:
-    print(f"Error occured while fetching article at {article_url}: {e}")
-
-    # article_title = article.title
-    # article_text = article.text
-
-template = """You are a very good assistant that summarizes online articles.
-
-Here's the article you want to summarize.
-
-==================
-Title: {article_title}
-
-{article_text}
-==================
-
-Now, provide a summarized version of the article in serialwise list.
-"""
-
-
-def art_sums(message):
-    prompt = template.format(article_title=arts.title, article_text=arts.text)
-    message = [HumanMessage(content=prompt)]
-    print("\n")
-    summary = chat(message)
-    sum = summary.content
-    sum = sum.replace("*", "")
-    return sum
-
-demo = gr.Interface(fn=art_sums, inputs="textbox", outputs="textbox",
-                     title="Summarize news with me")
-if __name__ == "__main__":
-    demo.launch()