Update app.py

app.py

@@ -1,199 +1,160 @@
-import streamlit as st
-from PIL import Image
-import os
-import base64
-import io
-from dotenv import load_dotenv
-from groq import Groq
-from reportlab.lib.pagesizes import letter
-from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer
-from reportlab.lib.styles import getSampleStyleSheet
-
-# ======================
-# CONFIGURATION SETTINGS
-# ======================
-PAGE_CONFIG = {
-    "page_title": "Rice Quality Analyzer",
-    "page_icon": "🌾",
-    "layout": "wide",
-    "initial_sidebar_state": "expanded"
-}
-
-ALLOWED_FILE_TYPES = ['png', 'jpg', 'jpeg']
-
-CSS_STYLES = """
-<style>
-    .main { background-color: #f4f9f9; color: #000000; }
-    .sidebar .sidebar-content { background-color: #d1e7dd; }
-    .stTextInput textarea { color: #000000 !important; }
-    .stButton>button { 
-        background-color: #21eeef; 
-        color: white; 
-        font-size: 16px; 
-        border-radius: 5px; 
-    }
-    .report-container {
-        background-color: #ffffff;
-        border-radius: 15px;
-        padding: 20px;
-        margin-top: 20px;
-        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
-        border-left: 5px solid #21eeef;
-    }
-    .report-text {
-        font-family: 'Arial', sans-serif;
-        font-size: 14px;
-        line-height: 1.6;
-        color: #2c3e50;
-    }
-</style>
-"""
-
-# ======================
-# CORE FUNCTIONS
-# ======================
-def configure_application():
-    """Initialize application settings and styling"""
-    st.set_page_config(**PAGE_CONFIG)
-    st.markdown(CSS_STYLES, unsafe_allow_html=True)
-
-def initialize_api_client():
-    """Create and validate Groq API client"""
-    load_dotenv()
-    api_key = os.getenv("GROQ_API_KEY")
-    
-    if not api_key:
-        st.error("API key not found. Please verify .env configuration.")
-        st.stop()
-    
-    return Groq(api_key=api_key)
-
-def process_image_data(uploaded_file):
-    """Convert image to base64 encoded string"""
-    try:
-        image = Image.open(uploaded_file)
-        buffer = io.BytesIO()
-        image.save(buffer, format=image.format)
-        return base64.b64encode(buffer.getvalue()).decode('utf-8'), image.format
-    except Exception as e:
-        st.error(f"Image processing error: {str(e)}")
-        return None, None
-
-def generate_pdf_report(report_text):
-    """Generate PDF document from report text"""
-    buffer = io.BytesIO()
-    doc = SimpleDocTemplate(buffer, pagesize=letter)
-    styles = getSampleStyleSheet()
-    story = []
-    
-    title = Paragraph("<b>Rice Quality Report</b>", styles['Title'])
-    story.append(title)
-    story.append(Spacer(1, 12))
-    
-    content = Paragraph(report_text.replace('\n', '<br/>'), styles['BodyText'])
-    story.append(content)
-    
-    doc.build(story)
-    buffer.seek(0)
-    return buffer
-
-def generate_rice_report(uploaded_file, client):
-    """Generate AI-powered rice quality analysis"""
-    base64_image, img_format = process_image_data(uploaded_file)
-    
-    if not base64_image:
-        return None
-
-    image_url = f"data:image/{img_format.lower()};base64,{base64_image}"
-
-    try:
-        response = client.chat.completions.create(
-            model="llama-3.2-11b-vision-preview",
-            messages=[{
-                "role": "user",
-                "content": [
-                    {"type": "text", "text": (
-                        "Analyze the rice grain image and provide a detailed report including:\n"
-                        "1. Rice type classification\n2. Quality assessment (broken grains %, discoloration %, impurities %)\n"
-                        "3. Foreign object detection\n4. Size and shape consistency\n5. Recommendations for processing or improvement"
-                    )},
-                    {"type": "image_url", "image_url": {"url": image_url}},
-                ]
-            }],
-            temperature=0.2,
-            max_tokens=400,
-            top_p=0.5
-        )
-        return response.choices[0].message.content
-    except Exception as e:
-        st.error(f"API communication error: {str(e)}")
-        return None
-
-# ======================
-# UI COMPONENTS
-# ======================
-def display_main_interface():
-    """Render primary application interface"""
-    st.title("🌾 Rice Quality Analyzer")
-    st.subheader("AI-Powered Rice Grain Inspection")
-    st.markdown("---")
-
-    # Display analysis results
-    if st.session_state.get('analysis_result'):
-        st.markdown("### 📋 Analysis Report")
-        st.markdown(
-            f'<div class="report-container"><div class="report-text">{st.session_state.analysis_result}</div></div>', 
-            unsafe_allow_html=True
-        )
-        pdf_report = generate_pdf_report(st.session_state.analysis_result)
-        st.download_button(
-            label="📄 Download PDF Report",
-            data=pdf_report,
-            file_name="rice_quality_report.pdf",
-            mime="application/pdf"
-        )
-
-    if st.button("Clear Analysis 🗑️"):
-        st.session_state.pop('analysis_result', None)
-        st.rerun()
-
-def render_sidebar(client):
-    """Create sidebar interface elements"""
-    with st.sidebar:
-        st.markdown("### Features")
-        st.markdown("""
-        - **Rice Type Classification** (e.g., Basmati, Jasmine, Indica)
-        - **Quality Check** (Broken grains %, impurities %, discoloration %)
-        - **Foreign Object Detection** (Husks, stones, debris)
-        - **Grain Size & Shape Analysis**
-        - **Processing Recommendations**
-        """)
-        st.markdown("---")
-        
-        st.subheader("Upload Rice Image")
-        uploaded_file = st.file_uploader(
-            "Select an image of rice grains", 
-            type=ALLOWED_FILE_TYPES
-        )
-        
-        if uploaded_file:
-            st.image(Image.open(uploaded_file), caption="Uploaded Image", use_column_width=True)
-            if st.button("Analyze Rice Quality 🔍"):
-                with st.spinner("Processing image... This may take a few seconds."):
-                    report = generate_rice_report(uploaded_file, client)
-                    st.session_state.analysis_result = report
-                    st.rerun()
-
-# ======================
-# APPLICATION ENTRYPOINT
-# ======================
-def main():
-    """Primary application controller"""
-    configure_application()
-    groq_client = initialize_api_client()
-    
-    display_main_interface()
-    render_sidebar(groq_client)
-
-if __name__ == "__main__":
-    main()
+import streamlit as st
+from PIL import Image
+import os
+import base64
+import io
+from dotenv import load_dotenv
+from groq import Groq
+from reportlab.lib.pagesizes import letter
+from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer
+from reportlab.lib.styles import getSampleStyleSheet
+import pandas as pd
+
+# ======================
+# CONFIGURATION SETTINGS
+# ======================
+st.set_page_config(
+    page_title="Rice Quality Analyzer",
+    page_icon="🌾",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+ALLOWED_FILE_TYPES = ['png', 'jpg', 'jpeg']
+
+CSS_STYLES = """
+<style>
+    .main { background-color: #f4f9f9; color: #000000; }
+    .sidebar .sidebar-content { background-color: #d1e7dd; }
+    .stTextInput textarea { color: #000000 !important; }
+    .stButton>button {
+        background-color: #21eeef;
+        color: white;
+        font-size: 16px;
+        border-radius: 5px;
+    }
+    .report-container {
+        background-color: #ffffff;
+        border-radius: 15px;
+        padding: 20px;
+        margin-top: 20px;
+        box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+        border-left: 5px solid #21eeef;
+    }
+    .report-text {
+        font-family: 'Arial', sans-serif;
+        font-size: 14px;
+        line-height: 1.6;
+        color: #2c3e50;
+    }
+</style>
+"""
+st.markdown(CSS_STYLES, unsafe_allow_html=True)
+
+# ======================
+# CORE FUNCTIONS
+# ======================
+def initialize_api_client():
+    """Initialize and validate the Groq API client."""
+    load_dotenv()
+    api_key = os.getenv("GROQ_API_KEY")
+    if not api_key:
+        st.error("API key not found. Please check .env configuration.")
+        st.stop()
+    return Groq(api_key=api_key)
+
+def process_image_data(uploaded_file):
+    """Convert image to base64 encoded string."""
+    try:
+        image = Image.open(uploaded_file)
+        buffer = io.BytesIO()
+        image.save(buffer, format=image.format)
+        return base64.b64encode(buffer.getvalue()).decode('utf-8'), image.format
+    except Exception as e:
+        st.error(f"Image processing error: {str(e)}")
+        return None, None
+
+def generate_pdf_report(report_text):
+    """Generate a PDF report from the analysis text."""
+    buffer = io.BytesIO()
+    doc = SimpleDocTemplate(buffer, pagesize=letter)
+    styles = getSampleStyleSheet()
+    story = [
+        Paragraph("<b>Rice Quality Report</b>", styles['Title']),
+        Spacer(1, 12),
+        Paragraph(report_text.replace('\n', '<br/>'), styles['BodyText'])
+    ]
+    doc.build(story)
+    buffer.seek(0)
+    return buffer
+
+def generate_rice_report(uploaded_file, client):
+    """Generate AI-powered rice quality analysis."""
+    base64_image, img_format = process_image_data(uploaded_file)
+    if not base64_image:
+        return None
+    
+    image_url = f"data:image/{img_format.lower()};base64,{base64_image}"
+    
+    try:
+        response = client.chat.completions.create(
+            model="llama-3.2-11b-vision-preview",
+            messages=[
+                {"role": "user", "content": [
+                    {"type": "text", "text": (
+                        "Analyze the rice grain image and provide a structured report including:"
+                    )},
+                    {"type": "image_url", "image_url": {"url": image_url}},
+                ]}
+            ],
+            temperature=0.2,
+            max_tokens=400,
+            top_p=0.5
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        st.error(f"API communication error: {str(e)}")
+        return None
+
+# ======================
+# UI COMPONENTS
+# ======================
+def display_main_interface():
+    """Render primary application interface."""
+    st.title("🌾 Rice Quality Analyzer")
+    st.subheader("AI-Powered Rice Grain Inspection")
+    st.markdown("---")
+
+    st.markdown("### Key Benefits:")
+    st.markdown("- Reduces inspection time by a factor of 10")
+    st.markdown("- Simple 3-step process: Load sample → Click start → Get results")
+    st.markdown("- Results stored in a database for traceability and further analysis")
+    st.markdown("- Integration with 3rd party instruments for higher-level data analysis")
+    st.markdown("- No minimum sample size required")
+    st.markdown("- No complicated sample preparation needed")
+    
+    if 'analysis_result' in st.session_state:
+        st.markdown("### 📋 Analysis Report")
+        report_data = st.session_state.analysis_result
+        df = pd.DataFrame(report_data.items(), columns=["Metric", "Value"])
+        st.table(df)
+        
+        pdf_report = generate_pdf_report(str(report_data))
+        st.download_button(
+            label="📄 Download PDF Report",
+            data=pdf_report,
+            file_name="rice_quality_report.pdf",
+            mime="application/pdf"
+        )
+    
+    if st.button("Clear Analysis 🗑️"):
+        st.session_state.pop('analysis_result', None)
+        st.rerun()
+
+def main():
+    """Primary application controller."""
+    groq_client = initialize_api_client()
+    display_main_interface()
+    
+if __name__ == "__main__":
+    main()