Removed debug screens. Made the 1.7B model the new default.

app.py

@@ -6,7 +6,8 @@ import torch
 from duckduckgo_search import DDGS
 
 # Load the SmolLM model and tokenizer
-model_name = "HuggingFaceTB/SmolLM2-360M-Instruct"
+# model_name = "HuggingFaceTB/SmolLM2-360M-Instruct"
+model_name = "HuggingFaceTB/SmolLM2-1.7B-Instruct"
 model = AutoModelForCausalLM.from_pretrained(model_name)
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
@@ -234,7 +235,7 @@ Please follow these best practices to make the resume optimized for the ATS visi
    - Replace generic duties with achievement-focused statements (e.g., "Handled customer service" → "Resolved 50+ customer inquiries daily, improving satisfaction by 30%").  
 
 16. **Keyword Density Balance**  
-   - Ensure keywords are distributed naturally across sections without overuse (e.g., 2-3 mentions of a critical keyword in work experience vs. 10 in a skills list)."
+   - Ensure keywords are distributed naturally across sections without overuse (e.g., 2-3 mentions of a critical keyword in work experience vs. 10 in a skills list).  
    - Instruct the user to paste this into a suitable word processor and use the result to build a resume. Save it in word, then in PDF (JaneDoe_Resume_CompanyName.pdf). Submit the PDF.
 
 
@@ -361,7 +362,7 @@ with demo:
         job_description = gr.TextArea(label="Paste Job Description")
         resume = gr.TextArea(label="Paste Resume")
 
-    job_and_company_info_output = gr.JSON(label="Job and Company Info")
+    job_and_company_info_output = gr.State()
     role_output = gr.State()
     gap_assessment_prompt_output = gr.TextArea(label="Gap Assessment Prompt")
 
@@ -373,13 +374,11 @@ with demo:
 
     gr.Markdown("## Gap Assessment")
     gap_assessment_result = gr.TextArea(label="Paste Gap Assessment Result")
-    gap_assessment_result_output = gr.TextArea(label="Submitted Gap Assessment Result", interactive=False)
     key_accomplishments_and_skills_prompt_output = gr.TextArea(label="Key Accomplishments and Skills Prompt", interactive=False)
 
     gr.Button("Submit Gap Assessment Result").click(
         lambda x: x,
         inputs=[gap_assessment_result],
-        outputs=gap_assessment_result_output
     ).then(
         generate_key_accomplishments_and_skills_prompt,
         inputs=[job_and_company_info_output, resume],
@@ -388,16 +387,14 @@ with demo:
 
     gr.Markdown("## Key Accomplishments and Skills")
     key_accomplishments_and_skills_result = gr.TextArea(label="Paste Key Accomplishments and Skills Result")
-    key_accomplishments_and_skills_result_output = gr.TextArea(label="Submitted Key Accomplishments and Skills Result", interactive=False)
     resume_prompt_output = gr.TextArea(label="Resume Prompt")
 
     gr.Button("Submit Key Accomplishments and Skills Result").click(
         lambda x: x,
         inputs=[key_accomplishments_and_skills_result],
-        outputs=key_accomplishments_and_skills_result_output
     ).then(
         generate_resume_prompt,
-        inputs=[job_and_company_info_output, resume, gap_assessment_result_output, key_accomplishments_and_skills_result_output],
+        inputs=[job_and_company_info_output, resume, gap_assessment_result, key_accomplishments_and_skills_result],
         outputs=resume_prompt_output
     )