Updated app.py with full features

app.py

@@ -25,8 +25,8 @@ def analyze_resume(resume_text, job_description):
     response = client.chat.completions.create(
         model="gpt-4",
         messages=[
-            {"role": "system", "content": "You are a professional resume and job application assistant."},
-            {"role": "user", "content": f"Analyze this resume:\n{resume_text}\n\nFor the job description:\n{job_description}\n\nProvide keyword optimizations, strengths, and weaknesses."}
+            {"role": "system", "content": "You are a professional job application assistant. Analyze resumes for strengths, weaknesses, and keyword optimization."},
+            {"role": "user", "content": f"Analyze this resume:\n{resume_text}\n\nFor this job description:\n{job_description}\n\nProvide improvements, missing skills, and keyword suggestions."}
         ],
         temperature=0.7
     )
@@ -37,20 +37,35 @@ def generate_cover_letter(resume_text, job_description):
     response = client.chat.completions.create(
         model="gpt-4",
         messages=[
-            {"role": "system", "content": "You are an expert in writing professional cover letters."},
-            {"role": "user", "content": f"Generate a personalized cover letter based on this resume:\n{resume_text}\n\nFor the job description:\n{job_description}"}
+            {"role": "system", "content": "You are an expert in writing professional and tailored cover letters."},
+            {"role": "user", "content": f"Write a compelling cover letter using this resume:\n{resume_text}\n\nFor the job description:\n{job_description}"}
+        ],
+        temperature=0.7
+    )
+    return response.choices[0].message.content
+
+# Function to analyze LinkedIn profile
+def analyze_linkedin_profile(profile_text):
+    response = client.chat.completions.create(
+        model="gpt-4",
+        messages=[
+            {"role": "system", "content": "You are an expert in LinkedIn profile optimization."},
+            {"role": "user", "content": f"Analyze this LinkedIn profile:\n{profile_text}\n\nProvide suggestions for better visibility, keyword optimization, and professionalism."}
         ],
         temperature=0.7
     )
     return response.choices[0].message.content
 
 # Streamlit UI
-st.title("AI-Powered Job Application Assistant")
-st.write("Upload your resume and provide a job description to get AI-powered suggestions.")
+st.title("🚀 AI-Powered Job Application Assistant")
+st.write("Upload your resume, paste your job description, or enter your LinkedIn profile to get AI-powered insights!")
 
-# File uploader
-uploaded_file = st.file_uploader("Upload your resume (PDF or DOCX)", type=["pdf", "docx"])
-job_description = st.text_area("Paste the job description here")
+# File uploader for resume
+uploaded_file = st.file_uploader("📄 Upload your resume (PDF or DOCX)", type=["pdf", "docx"])
+job_description = st.text_area("📝 Paste the job description here")
+
+# LinkedIn Profile Analysis
+linkedin_profile = st.text_area("🔗 Paste your LinkedIn profile content (optional)")
 
 if uploaded_file is not None and job_description:
     file_extension = uploaded_file.name.split(".")[-1].lower()
@@ -60,16 +75,23 @@ if uploaded_file is not None and job_description:
     elif file_extension == "docx":
         resume_text = extract_text_from_docx(uploaded_file)
     else:
-        st.error("Unsupported file format")
+        st.error("❌ Unsupported file format")
         resume_text = ""
 
     if resume_text:
-        st.subheader("Resume Analysis & Optimization")
+        # Resume Analysis
+        st.subheader("📊 Resume Analysis & Optimization")
         analysis = analyze_resume(resume_text, job_description)
         st.write(analysis)
 
-        st.subheader("Generated Cover Letter")
+        # Cover Letter Generation
+        st.subheader("✍️ Generated Cover Letter")
         cover_letter = generate_cover_letter(resume_text, job_description)
         st.write(cover_letter)
     else:
-        st.error("Could not extract text from the uploaded file.")
+        st.error("⚠️ Could not extract text from the uploaded file.")
+
+if linkedin_profile:
+    st.subheader("🔍 LinkedIn Profile Analysis")
+    linkedin_analysis = analyze_linkedin_profile(linkedin_profile)
+    st.write(linkedin_analysis)