Update app.py

app.py

@@ -8,14 +8,19 @@ OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
 PROXYCURL_API_KEY = os.getenv("PROXYCURL_API_KEY")
 FIRECRAWL_API_KEY = os.getenv("FIRECRAWL_API_KEY")
 
-# Function to fetch LinkedIn data using Proxycurl API
+# Function to fetch LinkedIn data using the Proxycurl API
 def fetch_linkedin_data(linkedin_url):
-    headers = {'Authorization': f'Bearer {PROXYCURL_API_KEY}'}
-    response = requests.get(f"https://api.proxycurl.com/v1/linkedin/{linkedin_url}", headers=headers)
+    api_key = os.getenv("PROXYCURL_API_KEY")
+    headers = {'Authorization': f'Bearer {api_key}'}
+    api_endpoint = 'https://nubela.co/proxycurl/api/v2/linkedin'
+    
+    response = requests.get(api_endpoint,
+                            params={'url': linkedin_url},
+                            headers=headers)
     if response.status_code == 200:
         return response.json()
     else:
-        return {"error": "Unable to fetch LinkedIn data"}
+        return {"error": f"Error fetching LinkedIn data: {response.text}"}
 
 # Function to fetch company information using Firecrawl API
 def fetch_company_info(company_url):
@@ -24,7 +29,7 @@ def fetch_company_info(company_url):
     if response.status_code == 200:
         return response.json()
     else:
-        return {"error": "Unable to fetch company information"}
+        return {"error": f"Error fetching company information: {response.text}"}
 
 # Function to structure the email using the "Start with Why" model
 def structure_email(user_data, linkedin_info, company_info):
@@ -56,7 +61,6 @@ class Agent:
         self.user_data = user_data
 
     def act(self):
-        # Agent performs its task based on instructions
         if self.name == "Data Collection Agent":
             linkedin_info = fetch_linkedin_data(self.user_data['linkedin_url'])
             company_info = fetch_company_info(self.user_data['company_url'])
@@ -113,7 +117,6 @@ def run_agent(name, email, phone, linkedin_url, company_url, role):
         if validate_email(email_content):
             return email_content
         else:
-            # Refine the prompt based on the feedback or iteration logic
             refined_prompt = f"Refine: {structure_email(user_data, linkedin_info, company_info)}"
             email_content = generate_email_content(OPENAI_API_KEY, refined_prompt)