changes saved to app.py

app.py

@@ -5,6 +5,7 @@ import torch
 import os
 import gradio_client.utils as client_utils
 import sys
+import tempfile
 
 # ===============================
 # Recursion Handling Fix
@@ -232,9 +233,33 @@ def end_interview(state):
     with open(filename, "w") as f:
         json.dump(summary, f, indent=4)
 
+    # Add detailed evaluations to the conversation
+    for ev in state["evaluations"]:
+        detail = (
+            f"📌 **Question:** {ev['question']}\n"
+            f"💬 **Your Response:** {ev['response']}\n"
+            f"🟢 **Rating:** {ev['rating']}\n"
+            f"💡 **Suggestion:** {ev['suggestion']}"
+        )
+        state["conversation"].append({"role": "System", "content": detail})
+
     state["conversation"].append({"role": "System", "content": f"✅ Interview ended. \nFinal Score: {summary['score']} ({summary['category']})"})
     return convert_for_gradio(state["conversation"]), state
 
+def prepare_downloadable_summary(state):
+    summary = {
+        "name": state["name"],
+        "domain": state["domain"],
+        "level": state["level"],
+        "company": state["company"],
+        "score": f"{sum(rating_scores.get(ev['rating'], 0) for ev in state['evaluations'])}/{len(state['evaluations']) * 3}",
+        "evaluations": state["evaluations"]
+    }
+
+    with tempfile.NamedTemporaryFile(mode="w+", delete=False, suffix=".json") as f:
+        json.dump(summary, f, indent=4)
+        return f.name  # Return the path to the downloadable file
+        
 def clear_state():
     return [], reset_state("", "", "", "Entry-Level")
 
@@ -263,11 +288,18 @@ with gr.Blocks() as demo:
         exit_button = gr.Button("Exit Interview")
         clear_button = gr.Button("Clear Session")
 
+    with gr.Row():
+        download_button = gr.Button("📥 Download Evaluation Report")
+        download_file = gr.File(label="Download", visible=True)
+
+    # Session state holder
     state = gr.State(value=reset_state("", "", "", "Entry-Level"))
 
+    # Hooking up logic to UI
     start_button.click(start_interview, inputs=[name_input, domain_input, company_input, level_input], outputs=[chatbot, state])
     submit_button.click(submit_response, inputs=[response_input, state], outputs=[chatbot, state]).then(lambda: "", None, response_input)
     exit_button.click(end_interview, inputs=state, outputs=[chatbot, state])
     clear_button.click(clear_state, outputs=[chatbot, state])
+    download_button.click(prepare_downloadable_summary, inputs=[state], outputs=[download_file])
 
 demo.launch()