Update app.py

app.py

@@ -7,22 +7,36 @@ import re
 from gtts import gTTS
 import tempfile
 import numpy as np
-import cv2
-
-# Configure API
-GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
+from PIL import Image
+from reportlab.lib.pagesizes import letter
+from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle
+from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, PageBreak
+from reportlab.lib.units import inch
+from reportlab.lib.enums import TA_JUSTIFY, TA_CENTER
+from reportlab.lib.colors import HexColor
+import subprocess
+import shutil
+
+# Configure API - Hugging Face Spaces compatible
+GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY", os.getenv("GOOGLE_API_KEY"))
 if GOOGLE_API_KEY:
     genai.configure(api_key=GOOGLE_API_KEY)
 else:
-    print("⚠️ Warning: GOOGLE_API_KEY not found in environment variables")
+    print("⚠️ Warning: GOOGLE_API_KEY not found. Please set it in Space Settings > Repository secrets")
 
 class CICE_Assessment:
     def __init__(self):
-        self.model = genai.GenerativeModel("gemini-2.0-flash-exp")
+        if GOOGLE_API_KEY:
+            self.model = genai.GenerativeModel("gemini-2.0-flash-exp")
+        else:
+            self.model = None
     
     def analyze_video(self, video_path):
         """Analyze video using the 18-point CICE 2.0 assessment with specific behavioral cues"""
         
+        if not self.model:
+            return "Error: GOOGLE_API_KEY not configured. Please set it in your Hugging Face Space settings."
+        
         try:
             # Upload video to Gemini
             video_file = genai.upload_file(path=video_path, display_name="healthcare_interaction")
@@ -41,86 +55,85 @@ class CICE_Assessment:
             # ENHANCED PROMPT WITH SPECIFIC BEHAVIORAL CUES
             prompt = """Analyze this healthcare team interaction video and provide a comprehensive assessment based on the CICE 2.0 instrument's 18 interprofessional competencies, looking for these SPECIFIC BEHAVIORAL CUES:
 
-            For EACH competency, clearly state whether it was "OBSERVED" or "NOT OBSERVED" based on these specific behaviors:
-
-            1. IDENTIFIES FACTORS INFLUENCING HEALTH STATUS
-               LOOK FOR: Team mentions allergy bracelet, fall-related trauma, multiple injuries, or states airway/breathing/circulation concerns out loud
-               
-            2. IDENTIFIES TEAM GOALS FOR THE PATIENT
-               LOOK FOR: Team verbalizes goals like: stabilize airway, CPR/AED, give epinephrine, control bleeding, preserve tooth, prepare EMS handoff
+For EACH competency, clearly state whether it was "OBSERVED" or "NOT OBSERVED" based on these specific behaviors:
 
-            3. PRIORITIZES GOALS FOCUSED ON IMPROVING HEALTH OUTCOMES
-               LOOK FOR: CPR/AED prioritized before bleeding/dental injury, EpiPen administered before addressing secondary injuries
+1. IDENTIFIES FACTORS INFLUENCING HEALTH STATUS
+   LOOK FOR: Team mentions allergy bracelet, fall-related trauma, multiple injuries, or states airway/breathing/circulation concerns out loud
+   
+2. IDENTIFIES TEAM GOALS FOR THE PATIENT
+   LOOK FOR: Team verbalizes goals like: stabilize airway, CPR/AED, give epinephrine, control bleeding, preserve tooth, prepare EMS handoff
 
-            4. VERBALIZES DISCIPLINE-SPECIFIC ROLE (PRE-BRIEF)
-               LOOK FOR: Students acknowledge interprofessional communication expectations and scene safety review before scenario begins
+3. PRIORITIZES GOALS FOCUSED ON IMPROVING HEALTH OUTCOMES
+   LOOK FOR: CPR/AED prioritized before bleeding/dental injury, EpiPen administered before addressing secondary injuries
 
-            5. OFFERS TO SEEK GUIDANCE FROM COLLEAGUES
-               LOOK FOR: Peer-to-peer checks (e.g., dental to dental: confirm tooth storage; nursing to nursing: confirm CPR quality)
+4. VERBALIZES DISCIPLINE-SPECIFIC ROLE (PRE-BRIEF)
+   LOOK FOR: Students acknowledge interprofessional communication expectations and scene safety review before scenario begins
 
-            6. COMMUNICATES ABOUT COST-EFFECTIVE AND TIMELY CARE
-               LOOK FOR: Team chooses readily available supplies (AED, saline, tourniquet) without delay, states need for rapid EMS transfer
+5. OFFERS TO SEEK GUIDANCE FROM COLLEAGUES
+   LOOK FOR: Peer-to-peer checks (e.g., dental to dental: confirm tooth storage; nursing to nursing: confirm CPR quality)
 
-            7. DIRECTS QUESTIONS TO OTHER HEALTH PROFESSIONALS BASED ON EXPERTISE
-               LOOK FOR: Asks discipline-specific expertise (e.g., "Dental—what do we do with the tooth?"), invites pharmacy/medical input on epinephrine use
+6. COMMUNICATES ABOUT COST-EFFECTIVE AND TIMELY CARE
+   LOOK FOR: Team chooses readily available supplies (AED, saline, tourniquet) without delay, states need for rapid EMS transfer
 
-            8. AVOIDS DISCIPLINE-SPECIFIC TERMINOLOGY
-               LOOK FOR: Uses plain language like "no pulse" instead of "asystole"
+7. DIRECTS QUESTIONS TO OTHER HEALTH PROFESSIONALS BASED ON EXPERTISE
+   LOOK FOR: Asks discipline-specific expertise (e.g., "Dental—what do we do with the tooth?"), invites pharmacy/medical input on epinephrine use
 
-            9. EXPLAINS DISCIPLINE-SPECIFIC TERMINOLOGY WHEN NECESSARY
-               LOOK FOR: Clarifies medical/dental terms for others when necessary
+8. AVOIDS DISCIPLINE-SPECIFIC TERMINOLOGY
+   LOOK FOR: Uses plain language like "no pulse" instead of "asystole"
 
-            10. COMMUNICATES ROLES AND RESPONSIBILITIES CLEARLY
-                LOOK FOR: Announces assignments out loud: "I'll do compressions," "I'll call 911," "I'll document"
+9. EXPLAINS DISCIPLINE-SPECIFIC TERMINOLOGY WHEN NECESSARY
+   LOOK FOR: Clarifies medical/dental terms for others when necessary
 
-            11. ENGAGES IN ACTIVE LISTENING
-                LOOK FOR: Repeats back instructions ("Everyone clear for shock"), pauses to hear teammates' updates
+10. COMMUNICATES ROLES AND RESPONSIBILITIES CLEARLY
+    LOOK FOR: Announces assignments out loud: "I'll do compressions," "I'll call 911," "I'll document"
 
-            12. SOLICITS AND ACKNOWLEDGES PERSPECTIVES
-                LOOK FOR: Leader asks "Anything else we need to address?", responds to peer input respectfully
+11. ENGAGES IN ACTIVE LISTENING
+    LOOK FOR: Repeats back instructions ("Everyone clear for shock"), pauses to hear teammates' updates
 
-            13. RECOGNIZES APPROPRIATE CONTRIBUTIONS
-                LOOK FOR: Affirms correct actions verbally ("Good catch on allergy bracelet"), non-verbal acknowledgment (nodding, thumbs up)
+12. SOLICITS AND ACKNOWLEDGES PERSPECTIVES
+    LOOK FOR: Leader asks "Anything else we need to address?", responds to peer input respectfully
 
-            14. RESPECTFUL OF OTHER TEAM MEMBERS
-                LOOK FOR: Listens without interrupting, values input across professions
+13. RECOGNIZES APPROPRIATE CONTRIBUTIONS
+    LOOK FOR: Affirms correct actions verbally ("Good catch on allergy bracelet"), non-verbal acknowledgment (nodding, thumbs up)
 
-            15. COLLABORATIVELY WORKS THROUGH INTERPROFESSIONAL CONFLICTS
-                LOOK FOR: Negotiates intervention priorities (airway vs. bleeding) respectfully
+14. RESPECTFUL OF OTHER TEAM MEMBERS
+    LOOK FOR: Listens without interrupting, values input across professions
 
-            16. REFLECTS ON STRENGTHS OF TEAM INTERACTIONS (POST-BRIEF)
-                LOOK FOR: Notes strong teamwork, communication, or role clarity after the scenario
+15. COLLABORATIVELY WORKS THROUGH INTERPROFESSIONAL CONFLICTS
+    LOOK FOR: Negotiates intervention priorities (airway vs. bleeding) respectfully
 
-            17. REFLECTS ON CHALLENGES OF TEAM INTERACTIONS (POST-BRIEF)
-                LOOK FOR: Identifies confusion, delays, or role overlap in debriefing
+16. REFLECTS ON STRENGTHS OF TEAM INTERACTIONS (POST-BRIEF)
+    LOOK FOR: Notes strong teamwork, communication, or role clarity after the scenario
 
-            18. IDENTIFIES HOW TO IMPROVE TEAM EFFECTIVENESS (POST-BRIEF)
-                LOOK FOR: Suggests faster role assignment, consistent closed-loop communication, earlier epi use
+17. REFLECTS ON CHALLENGES OF TEAM INTERACTIONS (POST-BRIEF)
+    LOOK FOR: Identifies confusion, delays, or role overlap in debriefing
 
-            STRUCTURE YOUR RESPONSE AS FOLLOWS:
+18. IDENTIFIES HOW TO IMPROVE TEAM EFFECTIVENESS (POST-BRIEF)
+    LOOK FOR: Suggests faster role assignment, consistent closed-loop communication, earlier epi use
 
-            ## OVERALL ASSESSMENT
-            Brief overview of the team interaction quality.
+STRUCTURE YOUR RESPONSE AS FOLLOWS:
 
-            ## DETAILED COMPETENCY EVALUATION
-            For each of the 18 competencies, format as:
+## OVERALL ASSESSMENT
+Brief overview of the team interaction quality.
 
-            Competency [number]: [name]
-            Status: [OBSERVED/NOT OBSERVED]
-            Evidence: [Specific behavioral cue observed or explanation of absence]
+## DETAILED COMPETENCY EVALUATION
+For each of the 18 competencies, format as:
+Competency [number]: [name]
+Status: [OBSERVED/NOT OBSERVED]
+Evidence: [Specific behavioral cue observed or explanation of absence]
 
-            ## STRENGTHS
-            Top 3-5 key strengths with specific examples
+## STRENGTHS
+Top 3-5 key strengths with specific examples
 
-            ## AREAS FOR IMPROVEMENT
-            Top 3-5 areas needing work with specific suggestions
+## AREAS FOR IMPROVEMENT
+Top 3-5 areas needing work with specific suggestions
 
-            ## AUDIO SUMMARY
-            [Create a 60-second summary focusing on: overall performance level, top 3 strengths, top 3 areas for improvement, and 2 key recommendations]
+## AUDIO SUMMARY
+[Create a 60-second summary focusing on: overall performance level, top 3 strengths, top 3 areas for improvement, and 2 key recommendations]
 
-            ## FINAL SCORE
-            Competencies Observed: X/18
-            Overall Performance Level: [Exemplary (85-100%)/Proficient (70-84%)/Developing (50-69%)/Needs Improvement (0-49%)]"""
+## FINAL SCORE
+Competencies Observed: X/18
+Overall Performance Level: [Exemplary (85-100%)/Proficient (70-84%)/Developing (50-69%)/Needs Improvement (0-49%)]"""
             
             response = self.model.generate_content([video_file, prompt])
             return response.text
@@ -157,12 +170,12 @@ class CICE_Assessment:
         try:
             tts = gTTS(text=audio_script, lang='en', slow=False, tld='com')
             
-            # Save to temporary file
-            with tempfile.NamedTemporaryFile(delete=False, suffix='.mp3') as tmp_file:
-                audio_path = tmp_file.name
-                tts.save(audio_path)
+            # Create a proper temporary file for HF Spaces
+            temp_audio = tempfile.NamedTemporaryFile(delete=False, suffix='.mp3')
+            tts.save(temp_audio.name)
+            temp_audio.close()
             
-            return audio_path
+            return temp_audio.name
         except Exception as e:
             print(f"⚠️ Audio generation failed: {str(e)}")
             return None
@@ -222,68 +235,152 @@ class CICE_Assessment:
             color = "#dc2626"
         
         return observed_count, total_competencies, percentage, level, color
-
-# Initialize the assessment tool
-assessor = CICE_Assessment()
-
-def compress_video(input_path, output_path, target_width=640, target_height=360, target_fps=15, target_bitrate='500k'):
-    """Compress and resize video to reduce file size and processing time"""
     
-    try:
-        # Open the video
-        cap = cv2.VideoCapture(input_path)
-        
-        # Get original properties
-        original_fps = cap.get(cv2.CAP_PROP_FPS)
-        original_width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
-        original_height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
-        
-        # Calculate aspect ratio and new dimensions
-        aspect_ratio = original_width / original_height
-        if aspect_ratio > target_width / target_height:
-            new_width = target_width
-            new_height = int(target_width / aspect_ratio)
-        else:
-            new_height = target_height
-            new_width = int(target_height * aspect_ratio)
+    def generate_pdf_report(self, assessment_text):
+        """Generate a PDF report from the assessment text"""
         
-        # Set up video writer with compression
-        fourcc = cv2.VideoWriter_fourcc(*'mp4v')
-        out = cv2.VideoWriter(output_path, fourcc, min(target_fps, original_fps), (new_width, new_height))
-        
-        frame_skip = max(1, int(original_fps / target_fps))
-        frame_count = 0
-        
-        while True:
-            ret, frame = cap.read()
-            if not ret:
-                break
+        try:
+            # Create a temporary file for the PDF
+            temp_pdf = tempfile.NamedTemporaryFile(delete=False, suffix='.pdf')
             
-            # Skip frames to reduce FPS
-            if frame_count % frame_skip == 0:
-                # Resize frame
-                resized_frame = cv2.resize(frame, (new_width, new_height), interpolation=cv2.INTER_AREA)
-                out.write(resized_frame)
+            # Create the PDF document
+            doc = SimpleDocTemplate(
+                temp_pdf.name,
+                pagesize=letter,
+                rightMargin=72,
+                leftMargin=72,
+                topMargin=72,
+                bottomMargin=18,
+            )
             
-            frame_count += 1
-        
-        cap.release()
-        out.release()
-        
-        # Get file sizes for comparison
-        original_size = os.path.getsize(input_path) / (1024 * 1024)  # MB
-        compressed_size = os.path.getsize(output_path) / (1024 * 1024)  # MB
-        
-        print(f"✅ Video compressed: {original_size:.2f}MB → {compressed_size:.2f}MB")
-        print(f"   Resolution: {original_width}x{original_height} → {new_width}x{new_height}")
-        print(f"   FPS: {original_fps:.1f} → {min(target_fps, original_fps):.1f}")
-        
-        return output_path
+            # Container for the 'Flowable' objects
+            elements = []
+            
+            # Define styles
+            styles = getSampleStyleSheet()
+            title_style = ParagraphStyle(
+                'CustomTitle',
+                parent=styles['Heading1'],
+                fontSize=24,
+                textColor=HexColor('#1f2937'),
+                spaceAfter=30,
+                alignment=TA_CENTER
+            )
+            
+            heading_style = ParagraphStyle(
+                'CustomHeading',
+                parent=styles['Heading2'],
+                fontSize=14,
+                textColor=HexColor('#059669'),
+                spaceAfter=12,
+                spaceBefore=12,
+                bold=True
+            )
+            
+            body_style = ParagraphStyle(
+                'CustomBody',
+                parent=styles['BodyText'],
+                fontSize=11,
+                alignment=TA_JUSTIFY,
+                spaceAfter=12
+            )
+            
+            # Add title
+            elements.append(Paragraph("CICE 2.0 Healthcare Team Assessment Report", title_style))
+            elements.append(Spacer(1, 12))
+            
+            # Add timestamp
+            timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            elements.append(Paragraph(f"<b>Assessment Date:</b> {timestamp}", body_style))
+            elements.append(Spacer(1, 20))
+            
+            # Process the assessment text into PDF-friendly format
+            lines = assessment_text.split('\n')
+            
+            for line in lines:
+                line = line.strip()
+                
+                if not line:
+                    elements.append(Spacer(1, 6))
+                elif line.startswith('##'):
+                    # Major heading
+                    heading_text = line.replace('##', '').strip()
+                    elements.append(Paragraph(heading_text, heading_style))
+                elif line.startswith('Competency'):
+                    # Competency item
+                    elements.append(Paragraph(f"<b>{line}</b>", body_style))
+                elif line.startswith('Status:') or line.startswith('Evidence:'):
+                    # Sub-items
+                    elements.append(Paragraph(line, body_style))
+                else:
+                    # Regular text
+                    # Escape special characters for PDF
+                    line = line.replace('&', '&amp;').replace('<', '&lt;').replace('>', '&gt;')
+                    elements.append(Paragraph(line, body_style))
+            
+            # Build PDF
+            doc.build(elements)
+            temp_pdf.close()
+            
+            return temp_pdf.name
+            
+        except Exception as e:
+            print(f"⚠️ PDF generation failed: {str(e)}")
+            # Fallback to text file
+            temp_txt = tempfile.NamedTemporaryFile(delete=False, suffix='.txt', mode='w')
+            temp_txt.write("CICE 2.0 Healthcare Team Interaction Assessment\n")
+            temp_txt.write("="*60 + "\n")
+            temp_txt.write(f"Date: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
+            temp_txt.write("="*60 + "\n\n")
+            temp_txt.write(assessment_text)
+            temp_txt.close()
+            return temp_txt.name
+
+def compress_video_ffmpeg(input_path, output_path, target_width=640, target_height=360, target_fps=15, target_bitrate='500k'):
+    """Compress video using ffmpeg (more reliable for HF Spaces)"""
     
+    try:
+        # Check if ffmpeg is available
+        if not shutil.which('ffmpeg'):
+            print("⚠️ ffmpeg not found, skipping compression")
+            return input_path
+        
+        # Build ffmpeg command
+        cmd = [
+            'ffmpeg',
+            '-i', input_path,
+            '-vf', f'scale={target_width}:{target_height}',
+            '-r', str(target_fps),
+            '-b:v', target_bitrate,
+            '-c:v', 'libx264',
+            '-preset', 'fast',
+            '-c:a', 'aac',
+            '-b:a', '128k',
+            '-y',  # Overwrite output
+            output_path
+        ]
+        
+        # Run ffmpeg
+        result = subprocess.run(cmd, capture_output=True, text=True)
+        
+        if result.returncode == 0:
+            # Get file sizes for comparison
+            original_size = os.path.getsize(input_path) / (1024 * 1024)  # MB
+            compressed_size = os.path.getsize(output_path) / (1024 * 1024)  # MB
+            
+            print(f"✅ Video compressed: {original_size:.2f}MB → {compressed_size:.2f}MB")
+            return output_path
+        else:
+            print(f"⚠️ ffmpeg compression failed: {result.stderr}")
+            return input_path
+            
     except Exception as e:
-        print(f"⚠️ Compression failed, using original: {str(e)}")
+        print(f"⚠️ Compression failed: {str(e)}")
         return input_path
 
+# Initialize the assessment tool
+assessor = CICE_Assessment()
+
 def process_video(video):
     """Process uploaded or recorded video"""
     
@@ -291,66 +388,66 @@ def process_video(video):
         return "Please upload or record a video first.", None, None, None
     
     if not GOOGLE_API_KEY:
-        return "❌ Error: GOOGLE_API_KEY not configured. Please set it in your environment variables.", None, None, None
-    
-    progress_messages = []
+        return "❌ Error: GOOGLE_API_KEY not configured. Please set it in your Hugging Face Space Settings > Repository secrets.", None, None, None
     
     try:
         # Compress video if needed
         file_size_mb = os.path.getsize(video) / (1024 * 1024)
         
         if file_size_mb > 10:  # Compress if larger than 10MB
-            progress_messages.append(f"📦 Compressing video ({file_size_mb:.1f}MB)...")
-            with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as tmp_file:
-                compressed_path = tmp_file.name
-            video = compress_video(video, compressed_path)
+            print(f"📦 Compressing video ({file_size_mb:.1f}MB)...")
+            temp_compressed = tempfile.NamedTemporaryFile(delete=False, suffix='.mp4')
+            video = compress_video_ffmpeg(video, temp_compressed.name)
         
         # Start assessment
-        progress_messages.append("🏥 Starting CICE 2.0 Healthcare Team Assessment...")
-        
-        # Analyze video
-        progress_messages.append("📤 Uploading video to Gemini AI...")
-        progress_messages.append("⏳ Processing video (this may take 1-2 minutes)...")
+        print("🏥 Starting CICE 2.0 Healthcare Team Assessment...")
+        print("📤 Uploading video to Gemini AI...")
+        print("⏳ Processing video (this may take 1-2 minutes)...")
         
         assessment_result = assessor.analyze_video(video)
         
         if "Error" in assessment_result:
             return assessment_result, None, None, None
         
-        progress_messages.append("✅ Analysis complete!")
+        print("✅ Analysis complete!")
         
         # Generate 1-minute audio feedback
-        progress_messages.append("🔊 Generating 1-minute audio summary...")
+        print("🔊 Generating 1-minute audio summary...")
         audio_path = assessor.generate_audio_feedback(assessment_result)
         
+        # Generate PDF report
+        print("📄 Generating PDF report...")
+        pdf_path = assessor.generate_pdf_report(assessment_result)
+        
         # Parse scores for visual summary
         observed, total, percentage, level, color = assessor.parse_assessment_scores(assessment_result)
         
-        # Create enhanced visual summary HTML with behavioral cues
+        # Create enhanced visual summary HTML
         summary_html = f"""
-        <div style="max-width:800px; margin:20px auto; padding:30px; border-radius:15px; box-shadow:0 4px 6px rgba(0,0,0,0.1);">
-            <h2 style="text-align:center; color:#1f2937;">CICE 2.0 Assessment Summary</h2>
+        <div style="max-width:800px; margin:20px auto; padding:30px; border-radius:15px; box-shadow:0 4px 6px rgba(0,0,0,0.1); background:white;">
+            <h2 style="text-align:center; color:#1f2937; margin-bottom:30px;">CICE 2.0 Assessment Summary</h2>
             
             <div style="display:flex; justify-content:space-around; margin:30px 0;">
                 <div style="text-align:center;">
                     <div style="font-size:48px; font-weight:bold; color:{color};">{observed}/{total}</div>
-                    <div style="color:#6b7280;">Competencies Observed</div>
+                    <div style="color:#6b7280; margin-top:10px;">Competencies Observed</div>
                 </div>
                 <div style="text-align:center;">
                     <div style="font-size:48px; font-weight:bold; color:{color};">{percentage:.0f}%</div>
-                    <div style="color:#6b7280;">Overall Score</div>
+                    <div style="color:#6b7280; margin-top:10px;">Overall Score</div>
                 </div>
             </div>
             
-            <div style="text-align:center; padding:20px; background:#f9fafb; border-radius:10px;">
+            <div style="text-align:center; padding:20px; background:#f9fafb; border-radius:10px; margin:20px 0;">
                 <div style="font-size:24px; font-weight:bold; color:{color};">Performance Level: {level}</div>
             </div>
             
             <div style="margin-top:30px;">
-                <h3>🎯 Key Behavioral Indicators Assessed:</h3>
+                <h3 style="color:#1f2937; margin-bottom:20px;">🎯 Key Behavioral Indicators Assessed:</h3>
+                
                 <div style="background:#f3f4f6; padding:15px; border-radius:10px; margin:15px 0;">
                     <h4 style="color:#059669; margin-top:0;">✅ Critical Actions</h4>
-                    <ul style="line-height:1.6; color:#374151;">
+                    <ul style="line-height:1.8; color:#374151; margin:10px 0;">
                         <li>CPR/AED prioritization</li>
                         <li>Epinephrine administration timing</li>
                         <li>Clear role assignments ("I'll do compressions")</li>
@@ -360,7 +457,7 @@ def process_video(video):
                 
                 <div style="background:#f3f4f6; padding:15px; border-radius:10px; margin:15px 0;">
                     <h4 style="color:#0891b2; margin-top:0;">🗣️ Communication Markers</h4>
-                    <ul style="line-height:1.6; color:#374151;">
+                    <ul style="line-height:1.8; color:#374151; margin:10px 0;">
                         <li>Plain language use (avoiding medical jargon)</li>
                         <li>Active listening (repeating back instructions)</li>
                         <li>Soliciting input ("Anything else we need?")</li>
@@ -370,7 +467,7 @@ def process_video(video):
                 
                 <div style="background:#f3f4f6; padding:15px; border-radius:10px; margin:15px 0;">
                     <h4 style="color:#7c3aed; margin-top:0;">🔄 Team Dynamics</h4>
-                    <ul style="line-height:1.6; color:#374151;">
+                    <ul style="line-height:1.8; color:#374151; margin:10px 0;">
                         <li>Pre-brief safety review</li>
                         <li>Peer-to-peer verification</li>
                         <li>Respectful conflict resolution</li>
@@ -379,28 +476,21 @@ def process_video(video):
                 </div>
             </div>
             
-            <div style="margin-top:20px; padding:15px; background:#fef3c7; border-radius:10px;">
-                <p style="text-align:center; color:#92400e; margin:0;">
-                    <strong>🔊 Listen to the 1-minute audio summary for key findings and recommendations</strong>
+            <div style="margin-top:30px; padding:20px; background:#fef3c7; border-radius:10px; border-left:4px solid #f59e0b;">
+                <p style="text-align:center; color:#92400e; margin:0; font-weight:bold;">
+                    🔊 Listen to the 1-minute audio summary for key findings<br>
+                    📄 Download the PDF report for complete documentation
                 </p>
             </div>
         </div>
         """
         
-        # Save assessment to file
-        timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-        report_filename = f"cice_assessment_{timestamp}.txt"
-        with open(report_filename, "w") as f:
-            f.write("CICE 2.0 Healthcare Team Interaction Assessment\n")
-            f.write("="*60 + "\n")
-            f.write(f"Date: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
-            f.write("="*60 + "\n\n")
-            f.write(assessment_result)
-        
-        return assessment_result, summary_html, audio_path, report_filename
+        return assessment_result, summary_html, audio_path, pdf_path
     
     except Exception as e:
-        return f"❌ Error: {str(e)}", None, None, None
+        error_msg = f"❌ Error during processing: {str(e)}"
+        print(error_msg)
+        return error_msg, None, None, None
 
 def create_interface():
     """Create the Gradio interface"""
@@ -429,15 +519,7 @@ def create_interface():
                     sources=["upload", "webcam"],
                     format="mp4",
                     include_audio=True,
-                    interactive=True,
-                    webcam_constraints={
-                        "video": {
-                            "width": {"ideal": 640, "max": 640},
-                            "height": {"ideal": 360, "max": 360},
-                            "frameRate": {"ideal": 15, "max": 24}
-                        },
-                        "audio": True
-                    }
+                    interactive=True
                 )
                 
                 analyze_btn = gr.Button("🔍 Analyze Video", variant="primary", size="lg")
@@ -447,8 +529,8 @@ def create_interface():
                 1. **Upload** a pre-recorded video or **Record** using your webcam
                 2. Click **Analyze Video** to start the assessment
                 3. Wait for the AI to process (1-2 minutes)
-                4. Listen to the **1-minute audio summary** for quick insights
-                5. Review the detailed written assessment for complete evaluation
+                4. Listen to the **1-minute audio summary**
+                5. Download the **PDF report** for documentation
                 
                 **Key Behaviors Assessed:**
                 - Allergy/medical history identification
@@ -457,54 +539,69 @@ def create_interface():
                 - Plain language communication
                 - Active listening behaviors
                 - Team respect and conflict resolution
+                
+                **Note:** Ensure your GOOGLE_API_KEY is configured in the Space settings.
                 """)
             
             with gr.Column(scale=2):
                 gr.Markdown("### 📊 Assessment Results")
                 
                 # Visual summary
-                summary_output = gr.HTML(label="Visual Summary")
+                summary_output = gr.HTML(
+                    label="Visual Summary",
+                    value="<p style='text-align:center; color:#6b7280; padding:40px;'>Results will appear here after analysis...</p>"
+                )
                 
-                # Audio feedback - now prominently featured
+                # Audio feedback - downloadable
                 audio_output = gr.Audio(
-                    label="🔊 1-Minute Audio Summary (Listen First!)",
+                    label="🔊 1-Minute Audio Summary (Downloadable)",
                     type="filepath",
                     interactive=False
                 )
                 
-                # Detailed assessment
+                # PDF report - downloadable
+                pdf_output = gr.File(
+                    label="📄 Download Full PDF Report",
+                    interactive=False,
+                    file_types=[".pdf", ".txt"]
+                )
+                
+                # Detailed assessment text
                 assessment_output = gr.Textbox(
-                    label="Detailed CICE 2.0 Assessment (Full Report)",
+                    label="Detailed CICE 2.0 Assessment (Text View)",
                     lines=20,
                     max_lines=30,
-                    interactive=False
-                )
-                
-                # Download report
-                report_file = gr.File(
-                    label="📥 Download Full Report",
-                    interactive=False
+                    interactive=False,
+                    placeholder="Detailed assessment will appear here..."
                 )
         
         # Footer
         gr.Markdown("""
         ---
         ### About This Assessment
-        This tool uses AI to identify specific behavioral markers that indicate effective interprofessional collaboration 
+        This tool uses Google's Gemini AI to identify specific behavioral markers that indicate effective interprofessional collaboration 
         in healthcare settings. The assessment focuses on observable actions such as:
         - Verbal role assignments ("I'll do compressions")
         - Recognition phrases ("Good catch on the allergy bracelet")
         - Plain language use instead of medical jargon
         - Pre-brief and post-brief team discussions
         
-        **Note:** Ensure clear audio capture of team communications for accurate assessment.
+        **Requirements:**
+        - Clear audio capture of team communications
+        - Video showing team interactions
+        - Google API key configured in Space settings
+        
+        **Output Files:**
+        - 📊 1-minute audio summary (MP3 format)
+        - 📄 Complete PDF assessment report
         """)
         
         # Connect the analyze button
         analyze_btn.click(
             fn=process_video,
             inputs=[video_input],
-            outputs=[assessment_output, summary_output, audio_output, report_file]
+            outputs=[assessment_output, summary_output, audio_output, pdf_output],
+            api_name="analyze"
         )
     
     return demo