Update app.py

app.py

@@ -73,12 +73,10 @@ class Me:
         self.session_log = []
         Path("chat_logs").mkdir(exist_ok=True)
 
-        # Download LinkedIn PDF
         gdown.download("https://drive.google.com/uc?id=1xz2RowkImpI8odYv8zvKdlRHaKfILn40", "linkedin.pdf", quiet=False)
         reader = PdfReader("linkedin.pdf")
         self.linkedin = "".join(page.extract_text() or "" for page in reader.pages)
 
-        # Download summary.txt
         gdown.download("https://drive.google.com/uc?id=1hjJz082YFSVjFtpO0pwT6Tyy3eLYYj6-", "summary.txt", quiet=False)
         with open("summary.txt", "r", encoding="utf-8") as f:
             self.summary = f.read()
@@ -109,34 +107,33 @@ If you can't answer something, call `record_unknown_question`. If a user seems i
         return results
 
     def chat_stream(self, message, history):
-    messages = [{"role": "system", "content": self.system_prompt()}]
+        messages = [{"role": "system", "content": self.system_prompt()}]
 
-    for msg in history:
-        if msg["role"] in ["user", "assistant"]:
-            messages.append(msg)
+        for msg in history:
+            if isinstance(msg, dict) and msg.get("role") in ["user", "assistant"]:
+                messages.append(msg)
 
-    messages.append({"role": "user", "content": message})
-    self.session_log.append({"role": "user", "content": message})
+        messages.append({"role": "user", "content": message})
+        self.session_log.append({"role": "user", "content": message})
 
-    stream = self.openai.chat.completions.create(
-        model="gpt-4o",
-        messages=messages,
-        tools=tools,
-        stream=True
-    )
-
-    full_response = ""
-    for chunk in stream:
-        delta = chunk.choices[0].delta
-        if hasattr(delta, "content") and delta.content:
-            full_response += delta.content
-            yield full_response
+        stream = self.openai.chat.completions.create(
+            model="gpt-4o",
+            messages=messages,
+            tools=tools,
+            stream=True
+        )
 
-    full_response += "\n\n💬 Let me know if you’d like to follow up or need help connecting with Jacob."
+        full_response = ""
+        for chunk in stream:
+            delta = chunk.choices[0].delta
+            if hasattr(delta, "content") and delta.content:
+                full_response += delta.content
+                yield full_response
 
-    self.session_log.append({"role": "assistant", "content": full_response})
-    self.save_session_log()
+        full_response += "\n\n💬 Let me know if you’d like to follow up or need help connecting with Jacob."
 
+        self.session_log.append({"role": "assistant", "content": full_response})
+        self.save_session_log()
 
     def save_session_log(self):
         timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
@@ -145,16 +142,13 @@ If you can't answer something, call `record_unknown_question`. If a user seems i
             json.dump(self.session_log, f, indent=2)
 
     def archive_logs(self):
-        """Create a zip archive of all previous logs — replaceable for weekly automation"""
         zip_path = "chat_logs/weekly_archive.zip"
         with zipfile.ZipFile(zip_path, "w", zipfile.ZIP_DEFLATED) as archive:
             for log_file in Path("chat_logs").glob("session_*.json"):
                 archive.write(log_file, arcname=log_file.name)
 
-# Instantiate assistant
 me = Me()
 
-# Build UI
 with gr.Blocks(title="Jacob Isaacson Chatbot") as iface:
     with gr.Row():
         gr.Image("jacob.png", width=100, show_label=False)