Fix Gradio compatibility issues

🔧 FIXES:
- Upgrade gradio 4.16.0 → 4.44.1 (latest stable)
- Replace gr.Date with gr.Textbox for date inputs
- Fix matplotlib permission error with MPLCONFIGDIR
- Improve image handling for different input types
- Add proper date format placeholders (YYYY-MM-DD)

✅ RESOLVED ERRORS:
- AttributeError: module 'gradio' has no attribute 'Date'
- Permission denied: /.config/matplotlib
- Better image upload compatibility

🎯 IMPROVEMENTS:
- More robust date handling with text input
- Cleaner error messages for unsupported formats
- Better Docker environment setup

Dockerfile

@@ -11,11 +11,14 @@ COPY src/ .
 
 # Create necessary directories with proper permissions
 RUN mkdir -p /app/pdf_reports && \
-    chmod -R 755 /app
+    mkdir -p /tmp/matplotlib && \
+    chmod -R 755 /app && \
+    chmod -R 777 /tmp/matplotlib
 
-# Set environment variables for Gradio
+# Set environment variables for Gradio and Matplotlib
 ENV GRADIO_SERVER_PORT=7860
 ENV GRADIO_SERVER_NAME=0.0.0.0
+ENV MPLCONFIGDIR=/tmp/matplotlib
 
 # Expose both ports (8001 for backend, 7860 for frontend)
 EXPOSE 8001 7860

requirements.txt

@@ -1,6 +1,6 @@
 altair
 pandas
-gradio==4.16.0
+gradio==4.44.1
 fastapi==0.104.1
 uvicorn==0.24.0
 python-multipart==0.0.6

src/gradio_app.py

@@ -189,16 +189,25 @@ def analyze_medical_image(image, patient_name, date_of_birth, gender, medical_re
         return "❌ Please fill in all required patient information", "", "", "", ""
     
     try:
-        # Convert image to bytes
+        # Handle image file
         if isinstance(image, str):  # If it's a file path
             with open(image, 'rb') as f:
                 image_bytes = f.read()
             filename = os.path.basename(image)
-        else:  # If it's a PIL Image
-            buffer = io.BytesIO()
-            image.save(buffer, format='JPEG')
-            image_bytes = buffer.getvalue()
-            filename = "uploaded_image.jpg"
+        else:
+            # If it's already bytes or a file-like object
+            if hasattr(image, 'read'):
+                image_bytes = image.read()
+                filename = getattr(image, 'name', 'uploaded_image.jpg')
+            else:
+                # Try to handle as PIL Image or other format
+                if hasattr(image, 'save'):  # It's likely a PIL Image
+                    buffer = io.BytesIO()
+                    image.save(buffer, format='JPEG')
+                    image_bytes = buffer.getvalue()
+                    filename = "uploaded_image.jpg"
+                else:
+                    return "❌ Unsupported image format", "", "", "", ""
         
         # Send to backend for analysis
         files = {"file": (filename, image_bytes, "image/jpeg")}
@@ -362,7 +371,7 @@ def create_medivision_app():
                         patient_name = gr.Textbox(label="Patient Name *", placeholder="Enter full name")
                         
                         with gr.Row():
-                            date_of_birth = gr.Date(label="Date of Birth *")
+                            date_of_birth = gr.Textbox(label="Date of Birth * (YYYY-MM-DD)", placeholder="1990-01-01")
                             gender = gr.Dropdown(
                                 choices=["Male", "Female", "Other"],
                                 label="Gender *",
@@ -377,7 +386,11 @@ def create_medivision_app():
                             generate_mrn_btn = gr.Button("🎯 Generate MRN", variant="secondary")
                         
                         referring_physician = gr.Textbox(label="Referring Physician *", placeholder="Dr. Name")
-                        study_date = gr.Date(label="Study Date *", value=datetime.now().date())
+                        study_date = gr.Textbox(
+                            label="Study Date * (YYYY-MM-DD)", 
+                            value=datetime.now().strftime("%Y-%m-%d"),
+                            placeholder="2025-01-01"
+                        )
                         
                         # MRN Generation
                         generate_mrn_btn.click(