Update app.py

app.py

@@ -20,23 +20,31 @@ def fetch_public_data(name, dob, city):
 
 # 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"  # Replace with the correct Groq Cloud API URL
+    url = "https://api.groq.com/openai/v1/chat/completions"  # Updated API URL for Groq Cloud
     headers = {
         "Authorization": f"Bearer {groq_api_key}",  # Use the API key securely from environment
         "Content-Type": "application/json",
     }
+    
+    # Updated prompt for Groq Cloud chat completion
     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."
     
+    # Construct the data payload for the API request
     data = {
-        "model": "groq-model",  # Adjust model name based on Groq documentation
-        "prompt": prompt,
-        "max_tokens": 300
+        "messages": [
+            {
+                "role": "user",
+                "content": prompt
+            }
+        ],
+        "model": "llama3-8b-8192"  # Use the appropriate model from Groq Cloud
     }
     
     response = requests.post(url, headers=headers, json=data)
     
     if response.status_code == 200:
-        return response.json().get("choices")[0].get("text").strip()
+        # Extract the generated email content from the API response
+        return response.json()["choices"][0]["message"]["content"].strip()
     else:
         # Print or log the error for debugging
         print(f"Error: {response.status_code}, {response.text}")