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
+load_dotenv()
+openai.api_key = os.getenv("OPENAI_API_KEY")
+
+# Supported languages and their codes
+LANGUAGES = {
+    "English": "en",
+    "Hindi": "hi",
+    "Telugu": "te",
+    "Kannada": "kn",
+    "Malayalam": "ml"
+}
+
+# Function to scrape content from a URL
+def scrape_content(url):
+    try:
+        response = requests.get(url)
+        soup = BeautifulSoup(response.content, 'html.parser')
+        title = soup.find('title').get_text() if soup.find('title') else "No Title"
+        paragraphs = soup.find_all('p')
+        content = '\n'.join([para.get_text() for para in paragraphs])
+        return title, content
+    except Exception as e:
+        return "Error", f"Failed to scrape content from {url}: {str(e)}"
+
+# Function to translate content using OpenAI
+def translate_content(content, target_language):
+    if target_language == "en":
+        return content  # No translation needed
+    
+    prompt = f"Translate the following content to {target_language}:
+
+{content}"
+    response = openai.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=[
+            {"role": "system", "content": "You are a multilingual translator."},
+            {"role": "user", "content": prompt}
+        ]
+    )
+    return response.choices[0].message.content.strip()
+
+# Function to create newsletter
+def create_newsletter(contents, language):
+    prompt = "Create a newsletter with the following content:\n\n"
+    for title, body, url in contents:
+        translated_body = translate_content(body, LANGUAGES[language])
+        prompt += f"Title: {title}\nURL: {url}\n\n{translated_body}\n\n"
+    
+    response = openai.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=[
+            {"role": "system", "content": "You are a helpful assistant expert in making newsletters."},
+            {"role": "user", "content": prompt}
+        ]
+    )
+    return response.choices[0].message.content.strip()
+
+# Function to process URLs and generate newsletter
+def process_urls(url1, url2, url3, url4, url5, language):
+    urls = [url for url in [url1, url2, url3, url4, url5] if url]
+    if not urls:
+        return "No URLs provided."
+    
+    contents = []
+    for url in urls:
+        title, content = scrape_content(url)
+        contents.append((title, content, url))
+    
+    newsletter = create_newsletter(contents, language)
+    return newsletter
+
+# Gradio interface
+iface = gr.Interface(
+    fn=process_urls,
+    inputs=[
+        gr.Textbox(label="URL 1"),
+        gr.Textbox(label="URL 2"),
+        gr.Textbox(label="URL 3"),
+        gr.Textbox(label="URL 4"),
+        gr.Textbox(label="URL 5"),
+        gr.Dropdown(choices=list(LANGUAGES.keys()), label="Select Language", value="English")
+    ],
+    outputs="html",
+    title="Multilingual AI Newsletter Generator",
+    description="Enter up to 5 URLs to generate a newsletter in your preferred language. Copy and paste the output into your CMS tool for further editing."
+)
+
+iface.launch()