Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,73 +1,73 @@
-import streamlit as st
-from io import BytesIO
-
-# === App Configuration ===
-st.set_page_config(
-    page_title="FitCV - AI Resume Optimizer",
-    page_icon="📄",
-    layout="wide"
-)
-
-# === Header Section ===
-col1, col2 = st.columns([1, 6])
-
-with col1:
-    st.image("assets/logo.png", width=40)  # Replace with your own logo
-
-with col2:
-    st.markdown(
-        "<h1 style='font-size: 32px; display: inline;'>FitCV</h1><br>"
-        "<span style='font-size:16px; color: gray;'>Your AI-Powered Resume Optimizer</span>",
-        unsafe_allow_html=True
-    )
-
-st.markdown("---")
-
-# === Input Section ===
-st.header("🔍 Optimize Your Resume for the Job You Want")
-
-uploaded_cv = st.file_uploader("📄 Upload Your CV (PDF only)", type=["pdf"])
-
-github_username = st.text_input("🐙 Enter Your GitHub Username")
-
-job_mode = st.radio("What job info do you have?", ["Job Title", "Full Job Posting"])
-
-if job_mode == "Job Title":
-    job_input = st.text_input("💼 Enter the Job Title (e.g., Data Scientist at Google)")
-else:
-    job_input = st.text_area("💬 Paste the Full Job Posting")
-
-# === Button ===
-if st.button("✨ Optimize Resume"):
-    if not uploaded_cv or not github_username or not job_input.strip():
-        st.warning("Please fill in all fields and upload a valid resume.")
-    else:
-        with st.spinner("Analyzing your GitHub, resume, and job requirements..."):
-
-            # === Placeholder: Call to your main pipeline logic ===
-            from src.pipeline.recommend import refine_resume  # Adjust path accordingly
-
-            # Simulate reading bytes
-            resume_bytes = uploaded_cv.read()
-
-            result = refine_resume(
-                resume_pdf_bytes=resume_bytes,
-                github_username=github_username,
-                job_input=job_input
-            )
-
-        # === Output Section ===
-        st.success("✅ Resume optimization complete!")
-
-        st.subheader("📝 Refined Professional Summary")
-        st.write(result["summary"])
-
-        st.subheader("🧠 Recommended Skills for This Role")
-        st.write(", ".join(result["skills"]))
-
-        st.subheader("🚀 GitHub Projects to Highlight")
-        for proj in result["projects"]:
-            st.markdown(f"- **[{proj['name']}]({proj['url']})**: {proj['description']}")
-
-        st.markdown("---")
+import streamlit as st
+from io import BytesIO   
+
+# === App Configuration ===
+st.set_page_config(
+    page_title="FitCV - AI Resume Optimizer",
+    page_icon="📄",
+    layout="wide"
+)
+
+# === Header Section ===
+col1, col2 = st.columns([1, 6])
+
+with col1:
+    st.image("/assets/logo.png", width=40)  # Replace with your own logo
+
+with col2:
+    st.markdown(
+        "<h1 style='font-size: 32px; display: inline;'>FitCV</h1><br>"
+        "<span style='font-size:16px; color: gray;'>Your AI-Powered Resume Optimizer</span>",
+        unsafe_allow_html=True
+    )
+
+st.markdown("---")
+
+# === Input Section ===
+st.header("🔍 Optimize Your Resume for the Job You Want")
+
+uploaded_cv = st.file_uploader("📄 Upload Your CV (PDF only)", type=["pdf"])
+
+github_username = st.text_input("🐙 Enter Your GitHub Username")
+
+job_mode = st.radio("What job info do you have?", ["Job Title", "Full Job Posting"])
+
+if job_mode == "Job Title":
+    job_input = st.text_input("💼 Enter the Job Title (e.g., Data Scientist at Google)")
+else:
+    job_input = st.text_area("💬 Paste the Full Job Posting")
+
+# === Button ===
+if st.button("✨ Optimize Resume"):
+    if not uploaded_cv or not github_username or not job_input.strip():
+        st.warning("Please fill in all fields and upload a valid resume.")
+    else:
+        with st.spinner("Analyzing your GitHub, resume, and job requirements..."):
+
+            # === Placeholder: Call to your main pipeline logic ===
+            from src.pipeline.recommend import refine_resume  # Adjust path accordingly
+
+            # Simulate reading bytes
+            resume_bytes = uploaded_cv.read()
+
+            result = refine_resume(
+                resume_pdf_bytes=resume_bytes,
+                github_username=github_username,
+                job_input=job_input
+            )
+
+        # === Output Section ===
+        st.success("✅ Resume optimization complete!")
+
+        st.subheader("📝 Refined Professional Summary")
+        st.write(result["summary"])
+
+        st.subheader("🧠 Recommended Skills for This Role")
+        st.write(", ".join(result["skills"]))
+
+        st.subheader("🚀 GitHub Projects to Highlight")
+        for proj in result["projects"]:
+            st.markdown(f"- **[{proj['name']}]({proj['url']})**: {proj['description']}")
+
+        st.markdown("---")
         st.info("These suggestions are tailored to the job you provided. You can now update your CV accordingly!")