Update app.py

app.py

@@ -1,55 +1,59 @@
-from openai import OpenAI;
+import gradio as gr
+import openai
+import os
 
-const openai = new OpenAI({
-  apiKey: import.meta.env.VITE_OPENAI_API_KEY,
-  dangerouslyAllowBrowser: true
-});
+# Load OpenAI API Key from environment variable
+openai.api_key = os.getenv("OPENAI_API_KEY")
 
-export async function generateNewsletter(data: {
-  orgName: string;
-  newsletterName: string;
-  urls: string[];
-}): Promise<{ content: string; summaries: string[] }> {
-  const prompt = `Create a professional newsletter for ${data.orgName} titled "${data.newsletterName}". 
-Include engaging summaries for the following URLs that spark curiosity to read more: ${data.urls.join(', ')}. 
-Format the newsletter with HTML tags for structure. Make it engaging and professional.`;
+def generate_newsletter(org_name, newsletter_name, urls):
+    """Generates a professional newsletter."""
+    prompt = (f"Create a professional newsletter for {org_name} titled '{newsletter_name}'. "
+              f"Include engaging summaries for the following URLs that spark curiosity to read more: {', '.join(urls)}. "
+              "Format the newsletter with HTML tags for structure. Make it engaging and professional.")
+    
+    response = openai.ChatCompletion.create(
+        model="gpt-4",
+        messages=[
+            {"role": "system", "content": "You are a professional newsletter writer who creates engaging content with perfect formatting and enticing summaries."},
+            {"role": "user", "content": prompt}
+        ]
+    )
+    
+    # Generate separate summaries for each URL
+    summaries = []
+    for url in urls:
+        summary_prompt = f"Create an enticing summary for this URL: {url}"
+        summary_response = openai.ChatCompletion.create(
+            model="gpt-4",
+            messages=[
+                {"role": "system", "content": "Create a brief, engaging summary that sparks curiosity to read more. Keep it concise and compelling."},
+                {"role": "user", "content": summary_prompt}
+            ]
+        )
+        summaries.append(summary_response["choices"][0]["message"]["content"].strip())
+    
+    return response["choices"][0]["message"]["content"].strip(), summaries
 
-  const response = await openai.chat.completions.create({
-    model: "gpt-4o-mini",
-    messages: [
-      {
-        role: "system",
-        content: "You are a professional newsletter writer who creates engaging content with perfect formatting and enticing summaries."
-      },
-      {
-        role: "user",
-        content: prompt
-      }
-    ]
-  });
+# Gradio Interface
+def main():
+    with gr.Blocks() as demo:
+        gr.Markdown("# 📩 Newsletter Generator\nGenerate professional newsletters effortlessly!")
+        
+        org_name = gr.Textbox(label="Organization Name")
+        newsletter_name = gr.Textbox(label="Newsletter Title")
+        urls = gr.Textbox(label="URLs (comma-separated)")
+        generate_btn = gr.Button("Generate Newsletter")
+        output = gr.Textbox(label="Generated Newsletter", lines=10)
+        summaries_output = gr.Textbox(label="Summaries", lines=10)
+        
+        def process_input(org, title, url_text):
+            url_list = [url.strip() for url in url_text.split(',') if url.strip()]
+            content, summaries = generate_newsletter(org, title, url_list)
+            return content, '\n'.join(summaries)
+        
+        generate_btn.click(process_input, inputs=[org_name, newsletter_name, urls], outputs=[output, summaries_output])
+        
+    demo.launch()
 
-  // Generate separate summaries for each URL
-  const summaryPromises = data.urls.map(url => 
-    openai.chat.completions.create({
-      model: "gpt-4",
-      messages: [
-        {
-          role: "system",
-          content: "Create a brief, engaging summary that sparks curiosity to read more. Keep it concise and compelling."
-        },
-        {
-          role: "user",
-          content: `Create an enticing summary for this URL: ${url}`
-        }
-      ]
-    })
-  );
-
-  const summaryResponses = await Promise.all(summaryPromises);
-  const summaries = summaryResponses.map(resp => resp.choices[0].message.content);
-
-  return {
-    content: response.choices[0].message.content,
-    summaries
-  };
-}
+if __name__ == "__main__":
+    main()