Create app.py

app.py

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+import requests
+from bs4 import BeautifulSoup
+import gradio as gr
+import os
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
+DEEPSEEK_API_KEY = os.getenv("DEEPSEEK_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 DeepSeek API
+def create_flashcards(content):
+    # Fetch the secret prompt from environment variables
+    prompt = os.getenv("FLASHCARD_PROMPT")
+
+    headers = {
+        "Authorization": f"Bearer {DEEPSEEK_API_KEY}",
+        "Content-Type": "application/json"
+    }
+
+    data = {
+        "model": "deepseek-chat",  # Replace with the appropriate DeepSeek model
+        "messages": [
+            {"role": "system", "content": prompt},
+            {"role": "user", "content": content}
+        ],
+        "max_tokens": 500,
+        "temperature": 0.7
+    }
+
+    response = requests.post(
+        "https://api.deepseek.com/v1/chat/completions",  # Replace with the correct DeepSeek API endpoint
+        headers=headers,
+        json=data
+    )
+
+    response_json = response.json()
+    flashcards = response_json["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)
+
+    # Save flashcards as a text file
+    file_path = "flashcards.txt"
+    with open(file_path, "w") as file:
+        file.write(f"Title: {title}\n\nFlashcards:\n{flashcards}")
+
+    return flashcards, file_path
+
+# Gradio interface
+def interface_fn(url):
+    flashcards, file_path = process_url(url)
+    return flashcards, file_path
+
+iface = gr.Interface(
+    fn=interface_fn,
+    inputs=gr.Textbox(lines=2, placeholder="Enter URL here..."),
+    outputs=["text", gr.File(label="Download Flashcards")],
+    title="The Federal Flash Card Generator",
+    description="An application that helps students prepare for competitive exams like the UPSC, SSC, CLAT, MBA, etc. Enter a News Site URL to generate flashcards for exam preparation. Option to download the response as a text file."
+)
+
+# Launch the interface
+if __name__ == "__main__":
+    iface.launch(share=False)