Update app.py

app.py

@@ -11,7 +11,6 @@ from simple_salesforce import Salesforce
 import os
 from dotenv import load_dotenv
 import base64
-import io
 import concurrent.futures
 
 # Load environment variables from .env file
@@ -36,34 +35,24 @@ model.eval()
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model.to(device)
 
-# Inference function to generate captions dynamically based on image content
 def generate_captions_from_image(image):
     if image.mode != "RGB":
         image = image.convert("RGB")
-    
-    # Resize image for faster processing (use smaller resolution to speed up inference)
-    image = image.resize((320, 320))  # Reduced size for faster processing
-    
-    # Preprocess the image and generate a caption
+    image = image.resize((320, 320))
     inputs = processor(image, return_tensors="pt").to(device, torch.float16)
     output = model.generate(**inputs, max_new_tokens=50)
     caption = processor.decode(output[0], skip_special_tokens=True)
-    
     return caption
 
-# Function to save DPR text to a PDF file
 def save_dpr_to_pdf(dpr_text, image_paths, captions, filename):
     try:
-        # Create a PDF document
         doc = SimpleDocTemplate(filename, pagesize=letter)
         styles = getSampleStyleSheet()
-        
-        # Define custom styles
         title_style = ParagraphStyle(
             name='Title',
             fontSize=16,
             leading=20,
-            alignment=1,  # Center
+            alignment=1,
             spaceAfter=20,
             textColor=colors.black,
             fontName='Helvetica-Bold'
@@ -76,179 +65,117 @@ def save_dpr_to_pdf(dpr_text, image_paths, captions, filename):
             textColor=colors.black,
             fontName='Helvetica'
         )
-        
-        # Build the PDF content
         flowables = []
-        
-        # Add title
         flowables.append(Paragraph("Daily Progress Report", title_style))
-        
-        # Split DPR text into lines and add as paragraphs (excluding descriptions for images)
         for line in dpr_text.split('\n'):
-            # Replace problematic characters for PDF
             line = line.replace('\u2019', "'").replace('\u2018', "'")
             if line.strip():
                 flowables.append(Paragraph(line, body_style))
             else:
                 flowables.append(Spacer(1, 12))
-        
-        # Add images and captions in the correct order (no need to add description to dpr_text again)
         for img_path, caption in zip(image_paths, captions):
             try:
-                # Add image first
-                img = PDFImage(img_path, width=200, height=150)  # Adjust image size if needed
+                img = PDFImage(img_path, width=200, height=150)
                 flowables.append(img)
-                # Add description below the image
                 description = f"Description: {caption}"
                 flowables.append(Paragraph(description, body_style))
-                flowables.append(Spacer(1, 12))  # Add some space between images
+                flowables.append(Spacer(1, 12))
             except Exception as e:
                 flowables.append(Paragraph(f"Error loading image: {str(e)}", body_style))
-        
-        # Build the PDF
         doc.build(flowables)
         return f"PDF saved successfully as {filename}", filename
     except Exception as e:
         return f"Error saving PDF: {str(e)}", None
 
-# Function to upload a file to Salesforce as ContentVersion
 def upload_file_to_salesforce(file_path, filename, sf_connection, file_type):
     try:
-        # Read file content and encode in base64
         with open(file_path, 'rb') as f:
             file_content = f.read()
         file_content_b64 = base64.b64encode(file_content).decode('utf-8')
-        
-        # Set description based on file type
         description = "Daily Progress Report PDF" if file_type == "pdf" else "Site Image"
-        
-        # Create ContentVersion
         content_version = sf_connection.ContentVersion.create({
             'Title': filename,
             'PathOnClient': filename,
             'VersionData': file_content_b64,
             'Description': description
         })
-        
-        # Get ContentDocumentId
         content_version_id = content_version['id']
         content_document = sf_connection.query(
             f"SELECT ContentDocumentId FROM ContentVersion WHERE Id = '{content_version_id}'"
         )
         content_document_id = content_document['records'][0]['ContentDocumentId']
-        
-        # Generate a valid Salesforce URL for the ContentDocument
         content_document_url = f"https://{sf_connection.sf_instance}/sfc/servlet.shepherd/version/download/{content_version_id}"
-    
-        # Ensure the link is valid
         return content_document_id, content_document_url, f"File {filename} uploaded successfully"
     except Exception as e:
         return None, None, f"Error uploading {filename} to Salesforce: {str(e)}"
 
-# Function to generate the daily progress report (DPR), save as PDF, and upload to Salesforce
 def generate_dpr(files):
     dpr_text = []
     captions = []
     image_paths = []
     current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
-    
-    # Add header to the DPR
     dpr_text.append(f"Daily Progress Report\nGenerated on: {current_time}\n")
-    
-    # Process images in parallel for faster performance
     with concurrent.futures.ThreadPoolExecutor() as executor:
         results = list(executor.map(lambda file: generate_captions_from_image(Image.open(file.name)), files))
-    
     for i, file in enumerate(files):
         caption = results[i]
         captions.append(caption)
-        
-        # Generate DPR section for this image with dynamic caption
         dpr_section = f"\nImage: {file.name}\nDescription: {caption}\n"
         dpr_text.append(dpr_section)
-        
-        # Save image path for embedding in the report
         image_paths.append(file.name)
-    
-    # Combine DPR text
     dpr_output = "\n".join(dpr_text)
-    
-    # Generate PDF filename with timestamp
     pdf_filename = f"DPR_{datetime.now().strftime('%Y-%m-%d_%H-%M-%S')}.pdf"
-    
-    # Save DPR text to PDF
     pdf_result, pdf_filepath = save_dpr_to_pdf(dpr_output, image_paths, captions, pdf_filename)
-    
     salesforce_result = ""
     pdf_content_document_id = None
     pdf_url = None
-    image_content_document_ids = []
-    
     if sf and pdf_filepath:
         try:
-            # Create Daily_Progress_Reports__c record
-            report_description = "; ".join(captions)[:255]  # Concatenate captions, limit to 255 chars
+            report_description = "; ".join(captions)[:255]
             dpr_record = sf.Daily_Progress_Reports__c.create({
-                'Detected_Activities__c': report_description  # Store in Detected_Activities__c field
+                'Detected_Activities__c': report_description
             })
             dpr_record_id = dpr_record['id']
             salesforce_result += f"Created Daily_Progress_Reports__c record with ID: {dpr_record_id}\n"
-            
-            # Upload PDF to Salesforce
             pdf_content_document_id, pdf_url, pdf_upload_result = upload_file_to_salesforce(
                 pdf_filepath, pdf_filename, sf, "pdf"
             )
             salesforce_result += pdf_upload_result + "\n"
-            
-            # Link PDF to DPR record
             if pdf_content_document_id:
                 sf.ContentDocumentLink.create({
                     'ContentDocumentId': pdf_content_document_id,
                     'LinkedEntityId': dpr_record_id,
                     'ShareType': 'V'
                 })
-            
-            # Update the DPR record with the PDF URL
             if pdf_url:
                 sf.Daily_Progress_Reports__c.update(dpr_record_id, {
-                    'PDF_URL__c': pdf_url  # Storing the PDF URL correctly
+                    'PDF_URL__c': pdf_url
                 })
                 salesforce_result += f"Updated PDF URL for record ID {dpr_record_id}\n"
-            
-            # Upload images to Salesforce and link them to DPR record
             for file in files:
                 image_filename = os.path.basename(file.name)
                 image_content_document_id, image_url, image_upload_result = upload_file_to_salesforce(
                     file.name, image_filename, sf, "image"
                 )
-                
                 if image_content_document_id:
-                    # Link image to the Daily Progress Report record (DPR) using ContentDocumentLink
                     sf.ContentDocumentLink.create({
                         'ContentDocumentId': image_content_document_id,
-                        'LinkedEntityId': dpr_record_id,  # Link image to DPR record
-                        'ShareType': 'V'  # 'V' means Viewer access
+                        'LinkedEntityId': dpr_record_id,
+                        'ShareType': 'V'
                     })
-                    
-                    # Now, update the DPR record with the ContentDocumentId in the Site_Images field (if it's a text or URL field)
                     sf.Daily_Progress_Reports__c.update(dpr_record_id, {
-                        'Site_Images__c': image_content_document_id  # Storing the ContentDocumentId directly
+                        'Site_Images__c': image_content_document_id
                     })
-                    
                     salesforce_result += image_upload_result + "\n"
-                        
         except Exception as e:
             salesforce_result += f"Error interacting with Salesforce: {str(e)}\n"
     else:
         salesforce_result = "Salesforce connection not available or PDF generation failed.\n"
-    
-    # Return DPR text, PDF file, and Salesforce upload status
     return (
         dpr_output + f"\n\n{pdf_result}\n\nSalesforce Upload Status:\n{salesforce_result}",
         pdf_filepath
     )
 
-# Gradio interface for uploading multiple files, displaying DPR, and downloading PDF
 iface = gr.Interface(
     fn=generate_dpr,
     inputs=gr.Files(type="filepath", label="Upload Site Photos"),
@@ -258,9 +185,7 @@ iface = gr.Interface(
     ],
     title="Daily Progress Report Generator",
     description="Upload up to 10 site photos. The AI model will generate a text-based Daily Progress Report (DPR), save it as a PDF, and upload the PDF and images to Salesforce under Daily_Progress_Reports__c in the Files related list. Download the PDF locally if needed.",
-    allow_flagging="never",
-    show_api=False,
-    show_tips=False
+    allow_flagging="never"
 )
 
 if __name__ == "__main__":