feat: replace Gradio with Streamlit for better UI presentation

- Convert app.py to use Streamlit with clean, minimal design
- Add score interpretation with visual feedback (emojis and colors)
- Update README.md configuration for Streamlit SDK
- Update requirements.txt for Streamlit dependencies
- Use

@st
.cache_resource for efficient model loading

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

README.md

@@ -3,8 +3,8 @@ title: Resume Job Matcher
 emoji: 📄
 colorFrom: blue
 colorTo: purple
-sdk: gradio
-sdk_version: 5.39.0
+sdk: streamlit
+sdk_version: 1.28.1
 app_file: app.py
 pinned: false
 license: mit
@@ -19,7 +19,7 @@ An AI-powered tool that calculates how well a resume matches a job description u
 - Upload resume files (.txt format)
 - Paste job descriptions
 - Get similarity scores between resumes and job postings
-- Built with Gradio for easy web interface
+- Built with Streamlit for clean web interface
 - Uses BAAI/bge-large-en-v1.5 model with LoRA fine-tuning
 
 ## Usage

app.py

@@ -3,7 +3,7 @@ from transformers import AutoModel, AutoTokenizer
 from peft import PeftModel
 import torch
 import torch.nn.functional as F
-import gradio as gr
+import streamlit as st
 
 # --- Configuration ---
 logging.basicConfig(level=logging.INFO)
@@ -49,47 +49,55 @@ def calculate_match_score(resume_text: str, job_text: str) -> float:
     return match_score
 
 # --- Initialize Models on Startup ---
-load_model_artifacts()
+@st.cache_resource
+def load_models():
+    """Load models with Streamlit caching."""
+    load_model_artifacts()
+    return models
 
-# --- Gradio Interface ---
-def gradio_interface_fn(resume_file, job_description):
-    """The function that powers the Gradio UI."""
-    if resume_file is None:
-        return "Please upload a resume file."
-    try:
-        # Handle file path from Gradio
-        if hasattr(resume_file, 'name'):
-            # resume_file is a file path string
-            with open(resume_file.name, 'r', encoding='utf-8') as f:
-                resume_text = f.read()
-        elif isinstance(resume_file, str):
-            # resume_file is a file path string
-            with open(resume_file, 'r', encoding='utf-8') as f:
-                resume_text = f.read()
-        else:
-            # Try to decode if it's bytes
-            resume_text = resume_file.decode("utf-8")
-        
-        score = calculate_match_score(resume_text, job_description)
-        return f"Match Score: {score:.4f}"
-    except ValueError as e:
-        return f"Error: {e}"
-    except Exception as e:
-        logger.error(f"Gradio Error: {e}")
-        return "An unexpected error occurred. Please check the logs."
+# Load models
+models_cache = load_models()
+
+# --- Streamlit App ---
+st.title("📄 Resume to Job Matcher")
+st.write("Find out how well a resume matches a job description. Upload a resume file and paste the job details below.")
+
+# File upload
+uploaded_file = st.file_uploader("Upload Resume (.txt)", type=['txt'])
 
-gradio_ui = gr.Interface(
-    fn=gradio_interface_fn,
-    inputs=[
-        gr.File(label="Upload Resume (.txt)"),
-        gr.Textbox(lines=10, label="Job Description", placeholder="Paste the job description here...")
-    ],
-    outputs=gr.Textbox(label="Result"),
-    title="📄 Resume to Job Matcher",
-    description="Find out how well a resume matches a job description. Upload a resume file and paste the job details below.",
-    allow_flagging="never"
-)
+# Job description input
+job_description = st.text_area("Job Description", placeholder="Paste the job description here...", height=200)
 
-# --- Launch Gradio Interface ---
-if __name__ == "__main__":
-    gradio_ui.launch()
+# Submit button
+if st.button("Submit"):
+    if uploaded_file is not None and job_description.strip():
+        try:
+            # Read the uploaded file
+            resume_text = str(uploaded_file.read(), "utf-8")
+            
+            # Calculate match score
+            score = calculate_match_score(resume_text, job_description)
+            
+            # Display result
+            st.success(f"Match Score: {score:.4f}")
+            
+            # Show interpretation
+            if score >= 0.7:
+                st.info("🎯 Excellent match! Your resume aligns very well with this job.")
+            elif score >= 0.5:
+                st.info("✅ Good match! There's solid compatibility between your resume and this job.")
+            elif score >= 0.3:
+                st.warning("⚠️ Moderate match. Consider highlighting relevant skills more prominently.")
+            else:
+                st.error("❌ Poor match. This job may not align well with your current profile.")
+                
+        except ValueError as e:
+            st.error(f"Error: {e}")
+        except Exception as e:
+            logger.error(f"Streamlit Error: {e}")
+            st.error("An unexpected error occurred. Please check your inputs and try again.")
+    else:
+        if uploaded_file is None:
+            st.error("Please upload a resume file.")
+        if not job_description.strip():
+            st.error("Please enter a job description.")

requirements.txt

@@ -1,4 +1,4 @@
 transformers>=4.21.0
 peft>=0.4.0
 torch>=1.12.0
-gradio>=5.39.0
+streamlit>=1.28.1