Upload casl_analysis.py

casl_analysis.py

@@ -1012,195 +1012,6 @@ def analyze_transcript(transcript, age, gender):
     
     return results, plot_image, radar_image, response
 
-def generate_report(patient_info, analysis_results, report_type="formal"):
-    """Generate a professional report based on analysis results"""
-    
-    patient_name = patient_info.get("name", "")
-    record_id = patient_info.get("record_id", "")
-    age = patient_info.get("age", "")
-    gender = patient_info.get("gender", "")
-    assessment_date = patient_info.get("assessment_date", datetime.now().strftime('%m/%d/%Y'))
-    clinician = patient_info.get("clinician", "")
-    
-    prompt = f"""
-    You are a professional Speech-Language Pathologist creating a {report_type} report based on an assessment.
-    
-    PATIENT INFORMATION:
-    Name: {patient_name}
-    Record ID: {record_id}
-    Age: {age}
-    Gender: {gender}
-    Assessment Date: {assessment_date}
-    Clinician: {clinician}
-    
-    ASSESSMENT RESULTS:
-    {analysis_results}
-    
-    Please create a professional {report_type} report that includes:
-    1. Patient information and assessment details
-    2. Summary of findings (strengths and areas of concern)
-    3. Detailed analysis of language domains
-    4. Specific recommendations for therapy that directly address the patient's unique speech patterns
-    5. Recommendation for frequency and duration of services
-    6. 2-3 specific questions to ask the patient that target their particular speech difficulties
-    
-    IMPORTANT: For both recommendations and questions, refer to specific examples from the patient's speech sample to make them personalized. Quote exact phrases or patterns from the assessment results when possible.
-    
-    Use clear, professional language appropriate for {'educational professionals' if report_type == 'formal' else 'parents and caregivers'}.
-    Format the report with proper headings and sections.
-    """
-    
-    # Call the API or use demo mode
-    if bedrock_client:
-        report = call_bedrock(prompt, max_tokens=6000)
-    else:
-        # For demo, create a simulated report
-        if report_type == 'formal':
-            report = f"""
-            # FORMAL LANGUAGE ASSESSMENT REPORT
-            
-            **Date of Assessment:** {assessment_date}
-            **Clinician:** {clinician}
-            
-            ## PATIENT INFORMATION
-            **Name:** {patient_name}
-            **Record ID:** {record_id}
-            **Age:** {age}
-            **Gender:** {gender}
-            
-            ## ASSESSMENT SUMMARY
-            
-            The patient was assessed using the Comprehensive Assessment of Spoken Language, Second Edition (CASL-2) to evaluate language skills across multiple domains. The assessment involved language sample analysis and standardized testing.
-            
-            ## KEY FINDINGS
-            
-            **Areas of Strength:**
-            - Ability to maintain conversational topics 
-            - Good vocabulary for everyday topics
-            - Strong nonverbal communication skills
-            
-            **Areas of Challenge:**
-            - Word-finding difficulties during conversation
-            - Grammatical errors in complex sentences
-            - Difficulty with abstract language concepts
-            
-            ## DETAILED ANALYSIS
-            
-            **Lexical/Semantic Skills:** Standard Score 91 (27th percentile) - Low Average Range
-            The student demonstrates adequate vocabulary but struggles with retrieving specific words during conversation. Word-finding pauses were noted throughout the language sample.
-            
-            **Syntactic Skills:** Standard Score 85 (16th percentile) - Low Average Range
-            The student shows difficulty with complex grammatical structures, particularly verb tense consistency and complex sentence formation.
-            
-            **Supralinguistic Skills:** Standard Score 83 (13th percentile) - Below Average Range
-            The student struggles with understanding figurative language, making inferences, and comprehending abstract concepts.
-            
-            ## RECOMMENDATIONS
-            
-            1. Speech-Language Therapy focused on:
-               - Word-finding strategies using semantic feature analysis
-               - Structured grammatical exercises to improve sentence complexity
-               - Explicit instruction in figurative language comprehension
-               - Narrative language development using visual supports
-            
-            2. Frequency of service: Twice weekly sessions of 30 minutes each for 12 weeks, followed by a reassessment to measure progress.
-            
-            3. Classroom accommodations including:
-               - Extended time for verbal responses
-               - Visual supports for complex instructions
-               - Pre-teaching of vocabulary for academic units
-            
-            ## PROGNOSIS
-            
-            The prognosis for improvement is good with consistent therapeutic intervention and support. Regular reassessment is recommended to monitor progress.
-            
-            ## TARGETED QUESTIONS FOR ASSESSMENT FOLLOW-UP
-            
-            1. When you said "we [/] we stayed for &-um three no [//] four days", what strategies could help you remember numbers more confidently?
-            
-            2. I noticed you used phrases like "fishies [: fish] [*]" - can you tell me more about how you decide which word forms to use?
-            
-            3. When you're trying to think of a word like when you said "&-um &-um sprinkles! that's the word", what helps you find the right word?
-            
-            Respectfully submitted,
-            
-            {clinician}
-            Speech-Language Pathologist
-            """
-        else:
-            report = f"""
-            # PARENT-FRIENDLY LANGUAGE ASSESSMENT SUMMARY
-            
-            **Date of Assessment:** {assessment_date}
-            **Clinician:** {clinician}
-            
-            ## PATIENT INFORMATION
-            **Name:** {patient_name}
-            **Record ID:** {record_id}
-            **Age:** {age}
-            **Gender:** {gender}
-            
-            ## ASSESSMENT SUMMARY
-            
-            We completed a language assessment to better understand your child's communication strengths and challenges. This helps us create a plan to support their development.
-            
-            ## KEY FINDINGS
-            
-            **Areas of Strength:**
-            - Ability to maintain conversational topics 
-            - Good vocabulary for everyday topics
-            - Strong nonverbal communication skills
-            
-            **Areas of Challenge:**
-            - Word-finding difficulties during conversation
-            - Grammatical errors in complex sentences
-            - Difficulty with abstract language concepts
-            
-            ## DETAILED ANALYSIS
-            
-            **Lexical/Semantic Skills:** Standard Score 91 (27th percentile) - Low Average Range
-            The student demonstrates adequate vocabulary but struggles with retrieving specific words during conversation. Word-finding pauses were noted throughout the language sample.
-            
-            **Syntactic Skills:** Standard Score 85 (16th percentile) - Low Average Range
-            The student shows difficulty with complex grammatical structures, particularly verb tense consistency and complex sentence formation.
-            
-            **Supralinguistic Skills:** Standard Score 83 (13th percentile) - Below Average Range
-            The student struggles with understanding figurative language, making inferences, and comprehending abstract concepts.
-            
-            ## RECOMMENDATIONS
-            
-            We recommend:
-               - Word-finding strategies using semantic feature analysis
-               - Structured grammatical exercises to improve sentence complexity
-               - Explicit instruction in figurative language comprehension
-               - Narrative language development using visual supports
-            
-            2. We recommend therapy twice a week for 30 minutes. This consistency will help your child make better progress.
-            
-            3. In school, your child may benefit from:
-               - Extended time for verbal responses
-               - Visual supports for complex instructions
-               - Pre-teaching of vocabulary for academic units
-            
-            ## PROGNOSIS
-            
-            With regular therapy and support at home, we expect your child to make good progress in these areas.
-            
-            ## QUESTIONS TO ASK AT HOME
-            
-            1. When your child gets stuck looking for a word (like when they said "&-um &-um sprinkles! that's the word"), what helps them find it most effectively?
-            
-            2. Have you noticed if your child uses "fishies" instead of "fish" or similar patterns in other words?
-            
-            3. What activities seem to reduce the number of pauses (&-um) in your child's speech?
-            
-            Please reach out with any questions!
-            
-            {clinician}
-            Speech-Language Pathologist
-            """
-    
-    return report
 
 def transcribe_audio(audio_path, patient_age):
     """Transcribe an audio recording using CHAT format"""
@@ -1496,7 +1307,6 @@ def create_interface():
                         
                         with gr.Row():
                             load_record_btn = gr.Button("Load for Analysis", variant="primary")
-                            load_to_report_btn = gr.Button("Load to Report Generator", variant="secondary")
                     
                     with gr.Column(scale=1):
                         # Record details
@@ -1582,11 +1392,11 @@ def create_interface():
                 # Load record into analysis tab
                 def load_patient_record_to_analysis(record_id):
                     if not record_id:
-                        return gr.update(selected=1), {}, "", "", "", "", "", ""
+                        return gr.update(selected=1), "", "", "", "male", "", "", "", ""
                     
                     record_data = load_patient_record(record_id)
                     if not record_data:
-                        return gr.update(selected=1), "", "", "", "male", "", "", ""
+                        return gr.update(selected=1), "", "", "", "male", "", "", "", ""
                     
                     # Extract data
                     patient_info = record_data.get("patient_info", {})
@@ -1622,53 +1432,11 @@ def create_interface():
                     ]
                 )
             
-            # ===============================
-            # Report Generator Tab
-            # ===============================
-            with gr.TabItem("Report Generator", id=2):
-                with gr.Row():
-                    with gr.Column(scale=1):
-                        gr.Markdown("### Generate Professional Reports")
-                        
-                        # Patient info
-                        with gr.Group(elem_classes="container patient-info"):
-                            gr.Markdown("#### Patient Information")
-                            report_patient_name = gr.Textbox(label="Patient Name", placeholder="Enter patient name")
-                            report_record_id = gr.Textbox(label="Record ID", placeholder="Enter record ID")
-                            report_age = gr.Number(label="Age", value=8, minimum=1, maximum=120)
-                            report_gender = gr.Radio(["male", "female", "other"], label="Gender", value="male")
-                            report_date = gr.Textbox(
-                                label="Assessment Date", 
-                                placeholder="MM/DD/YYYY", 
-                                value=datetime.now().strftime('%m/%d/%Y')
-                            )
-                            report_clinician = gr.Textbox(label="Clinician", placeholder="Enter clinician name")
-                        
-                        with gr.Group():
-                            gr.Markdown("#### Assessment Results")
-                            report_results = gr.Textbox(
-                                label="Paste assessment results or notes here", 
-                                placeholder="Include key findings, test scores, and observations...",
-                                lines=10
-                            )
-                            
-                            report_type = gr.Radio(
-                                ["Formal (for professionals)", "Parent-friendly"], 
-                                label="Report Type",
-                                value="Formal (for professionals)"
-                            )
-                            
-                            generate_report_btn = gr.Button("Generate Report", variant="primary")
-                    
-                    with gr.Column(scale=1):
-                        report_output = gr.Markdown()
-                        report_download_btn = gr.Button("Download Report as PDF", variant="secondary")
-                        report_download_status = gr.Markdown("")
             
             # ===============================
             # Transcription Tool Tab
             # ===============================
-            with gr.TabItem("Transcription Tool", id=3):
+            with gr.TabItem("Transcription Tool", id=2):
                 with gr.Row():
                     with gr.Column(scale=1):
                         gr.Markdown("### Audio Transcription Tool")
@@ -1694,7 +1462,7 @@ def create_interface():
             # ===============================
             # SLP Assistant Tab
             # ===============================
-            with gr.TabItem("SLP Assistant", id=4):
+            with gr.TabItem("SLP Assistant", id=3):
                 with gr.Row():
                     with gr.Column(scale=1):
                         gr.Markdown("### SLP Knowledge Assistant")
@@ -2205,49 +1973,6 @@ def create_interface():
             outputs=[export_status]
         )
         
-        report_download_btn.click(
-            export_pdf,
-            inputs=[
-                report_output, 
-                report_patient_name, 
-                report_record_id, 
-                report_age, 
-                report_gender, 
-                report_date, 
-                report_clinician
-            ],
-            outputs=[report_download_status]
-        )
-        
-        # Report generator button
-        def on_generate_report(name, record_id, age, gender, date, clinician, results, report_type):
-            patient_info = {
-                "name": name,
-                "record_id": record_id,
-                "age": age,
-                "gender": gender,
-                "assessment_date": date,
-                "clinician": clinician
-            }
-            
-            report_type_val = "formal" if "Formal" in report_type else "parent-friendly"
-            
-            try:
-                report = generate_report(patient_info, results, report_type_val)
-                return report
-            except Exception as e:
-                logger.exception("Error generating report")
-                return f"Error generating report: {str(e)}"
-        
-        generate_report_btn.click(
-            on_generate_report,
-            inputs=[
-                report_patient_name, report_record_id, report_age,
-                report_gender, report_date, report_clinician,
-                report_results, report_type
-            ],
-            outputs=[report_output]
-        )
         
         # Transcription button
         def on_transcribe_audio(audio_path, age):
@@ -2298,48 +2023,6 @@ def create_interface():
         q3_btn.click(lambda: "What activities help with word finding difficulties?", outputs=[question_input])
         q4_btn.click(lambda: "When should I reassess a patient?", outputs=[question_input])
         
-        # Function to load patient record into the report generator tab
-        def load_patient_record_to_report(record_id):
-            if not record_id:
-                return gr.update(selected=1), "", "", "", "male", "", "", ""
-            
-            record_data = load_patient_record(record_id)
-            if not record_data:
-                return gr.update(selected=1), "", "", "", "male", "", "", ""
-            
-            # Extract data
-            patient_info = record_data.get("patient_info", {})
-            analysis_results = record_data.get("analysis_results", {})
-            
-            # Get the raw analysis results as a string
-            raw_response = analysis_results.get("raw_response", "")
-            
-            # Create status message for the record loading
-            status_msg = f"✅ Record loaded successfully: {patient_info.get('name', 'Unknown')} ({record_id})"
-            
-            return (
-                gr.update(selected=2),  # Switch to Report Generator tab
-                patient_info.get("name", ""),
-                patient_info.get("record_id", ""),
-                patient_info.get("age", ""),
-                patient_info.get("gender", "male"),
-                patient_info.get("assessment_date", ""),
-                patient_info.get("clinician", ""),
-                raw_response,
-                status_msg
-            )
-        
-        # Connect the load_to_report_btn to its handler
-        load_to_report_btn.click(
-            load_patient_record_to_report,
-            inputs=[selected_record_id],
-            outputs=[
-                main_tabs,
-                report_patient_name, report_record_id, report_age, report_gender, 
-                report_date, report_clinician, report_results,
-                records_status
-            ]
-        )
         
     return app