Create app.py

app.py

@@ -0,0 +1,45 @@
+import gradio as gr
+import requests
+import language_tool_python
+from bs4 import BeautifulSoup
+import os
+
+# Load Groq Cloud API key from Hugging Face secrets
+groq_api_key = os.getenv("GROQ_CLOUD_API_KEY")
+
+# Scraping function to fetch user public data (for demo purposes, we will simulate this)
+def fetch_public_data(name, dob, city):
+    # Here, you could implement logic to fetch public data from sources like LinkedIn, GitHub, etc.
+    # For simplicity, we will return dummy data to simulate a successful fetch.
+    # You can implement web scraping or API integration to fetch real data.
+    # Example scraping code can go here (or via LinkedIn API, etc.)
+    
+    bio = f"{name} is a software engineer from {city} with over 10 years of experience. Known for work in AI, cloud computing, and leadership in various engineering teams."
+    return bio
+
+# Helper function to call Groq Cloud LLM API to generate email
+def generate_email_from_groq(bio, company_name, role):
+    url = "https://api.groq.cloud/generate"  # Adjust based on Groq's API documentation
+    headers = {
+        "Authorization": f"Bearer {groq_api_key}",
+        "Content-Type": "application/json",
+    }
+    prompt = f"Write a professional email applying for a {role} position at {company_name}. Use this bio: {bio}. The email should include an introduction, relevant experience, skills, and a closing."
+    data = {
+        "model": "groq-model",  # Adjust the model name based on Groq documentation
+        "prompt": prompt,
+        "max_tokens": 300
+    }
+    
+    response = requests.post(url, headers=headers, json=data)
+    
+    if response.status_code == 200:
+        return response.json().get("choices")[0].get("text").strip()
+    else:
+        return "Error generating email. Please check your API key or try again later."
+
+# Grammar and Tone Checker Function
+def check_grammar(email_text):
+    tool = language_tool_python.LanguageTool('en-US')
+    matches = tool.check(email_text)
+    corrected_text = language_tool_python