Update app.py

app.py

@@ -83,7 +83,7 @@ def analyze_resume_with_lossdog(
         response = openai.ChatCompletion.create(
             model="gpt-4o-mini",
             messages=messages,
-            max_tokens=50000,
+            max_tokens=4096,  # Increased token limit to the maximum
         )
         assistant_response = response.choices[0].message.content
         history.append({"role": "assistant", "content": assistant_response})
@@ -119,9 +119,10 @@ def create_demo():
         # 🐕 LOSS Dog: AI-Powered Resume Analyzer
         
         Upload your resume (PDF or TXT), and Loss Dog will:
-        1. Convert it to Markdown for readability.
-        2. Analyze it and start a conversation to improve it.
-        3. Help you build a polished JSON summary.
+        1. Display a preview of the original PDF.
+        2. Convert it to Markdown for readability.
+        3. Proactively analyze it and start a conversation.
+        4. Help you build a polished JSON summary.
         """)
 
         with gr.Row():
@@ -133,6 +134,7 @@ def create_demo():
 
         with gr.Row():
             upload = gr.File(label="Upload Your Resume (PDF or TXT)")
+            pdf_preview = gr.Preview(label="PDF Preview (for PDFs)")
 
         markdown_preview = gr.Markdown(label="Resume Content (Markdown)")
         chatbot = gr.Chatbot(label="Chat with LOSS Dog", type="messages")
@@ -152,21 +154,27 @@ def create_demo():
 
         def handle_upload(file, api_key):
             if not file:
-                return None, "No file uploaded.", [], None
+                return None, None, "No file uploaded.", [], None
 
             file_path = file.name
             file_content = extract_text_from_file(file_path, file.name)
             if "Error" in file_content:
-                return None, file_content, [], None
+                return None, None, file_content, [], None
+
+            if file.name.endswith(".pdf"):
+                pdf_path = file.name
+            else:
+                pdf_path = None
 
             markdown_text = convert_to_markdown(file_content)
             history = [
                 {
                     "role": "assistant",
-                    "content": "I've read your resume. Let's analyze it! What would you like to discuss first?",
+                    "content": "I've read your resume. Let's analyze it! Here are some observations.",
                 }
             ]
-            return file, markdown_text, history, markdown_text
+            history = analyze_resume_with_lossdog(markdown_text, api_key, history)
+            return file, pdf_path, markdown_text, history, markdown_text
 
         def handle_message(message, api_key, history, markdown_text):
             if not message.strip():
@@ -174,14 +182,10 @@ def create_demo():
 
             return analyze_resume_with_lossdog(markdown_text, api_key, history)
 
-        def handle_generate_json(history):
-            filename, json_content = generate_json_output(history)
-            return json_content
-
         upload.change(
             handle_upload,
             inputs=[upload, api_key],
-            outputs=[upload, markdown_preview, chatbot, markdown_state]
+            outputs=[upload, pdf_preview, markdown_preview, chatbot, markdown_state]
         )
 
         send_button.click(