Create app.py

app.py

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+import requests
+from bs4 import BeautifulSoup
+import openai
+import gradio as gr
+import os
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Function to scrape content from a URL
+def scrape_content(url):
+    response = requests.get(url)
+    soup = BeautifulSoup(response.content, 'html.parser')
+
+    # Example of extracting title and body content - modify based on actual structure of the websites
+    title = soup.find('title').get_text()
+    paragraphs = soup.find_all('p')
+    content = '\n'.join([para.get_text() for para in paragraphs])
+
+    return title, content
+
+# Function to create flashcards using OpenAI
+def create_flashcards(content):
+    prompt = f"Create flashcards for UPSC exam preparation from the following content:\n\n{content}\n\n"
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=[
+            {"role": "system", "content": "You are a helpful assistant for UPSC exam preparation."},
+            {"role": "user", "content": prompt}
+        ],
+        max_tokens=500,
+        temperature=0.7
+    )
+
+    flashcards = response.choices[0].message['content'].strip()
+    return flashcards
+
+# Function to process a single URL and generate flashcards
+def process_url(url):
+    if not url:
+        return "No URL provided."
+
+    title, content = scrape_content(url)
+    flashcards = create_flashcards(content)
+    return f"Title: {title}\n\nFlashcards:\n{flashcards}"
+
+# Gradio interface
+iface = gr.Interface(
+    fn=process_url,
+    inputs=gr.Textbox(lines=2, placeholder="Enter URL here..."),
+    outputs="text",
+    title="UPSC Flashcard Generator",
+    description="Enter a URL to generate flashcards for UPSC preparation."
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    iface.launch(share=True)