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Update app.py
Browse files
app.py
CHANGED
@@ -92,8 +92,6 @@ st.markdown("""
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</div>
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""", unsafe_allow_html=True)
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# Firebase Chat Functions
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def get_or_create_thread_id():
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doc_ref = db.collection("users").document(user_id)
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doc = doc_ref.get()
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@@ -101,10 +99,7 @@ def get_or_create_thread_id():
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return doc.to_dict()["thread_id"]
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else:
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thread = client.beta.threads.create()
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doc_ref.set({
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"thread_id": thread.id,
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"created_at": firestore.SERVER_TIMESTAMP
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})
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return thread.id
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def save_message(role, content):
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@@ -124,10 +119,36 @@ def display_chat_history():
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else:
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st.markdown(f"<div class='stChatMessage' data-testid='stChatMessage-assistant'>{assistant_icon_html} <strong>Carfind Assistant:</strong> {data['content']}</div>", unsafe_allow_html=True)
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tab1, tab2 = st.tabs(["AI Chat", "What car is that?"])
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# AI Chat Tab
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with tab1:
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input_col, clear_col = st.columns([9, 1])
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with input_col:
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@@ -145,7 +166,6 @@ with tab1:
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st.error(f"Failed to clear chat: {e}")
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thread_id = get_or_create_thread_id()
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display_chat_history()
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if user_input:
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client.beta.threads.messages.create(thread_id=thread_id, role="user", content=user_input)
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save_message("user", user_input)
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@@ -163,7 +183,6 @@ with tab1:
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time.sleep(0.5)
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st.rerun()
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# Car Image Tab
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with tab2:
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uploaded_image = st.file_uploader("Upload an image of a car and let Ai identify it for you", type=["jpg", "jpeg", "png"])
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if uploaded_image:
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@@ -180,7 +199,7 @@ with tab2:
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role="user",
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content=[
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{"type": "image_file", "image_file": {"file_id": file_response.id}},
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{"type": "text", "text": "Please identify this car from the image and include a clean
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]
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)
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run = client.beta.threads.runs.create(thread_id=image_thread.id, assistant_id=assistant_id)
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@@ -192,32 +211,8 @@ with tab2:
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time.sleep(1)
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messages = client.beta.threads.messages.list(thread_id=image_thread.id)
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assistant_message = messages.data[0].content[0].text.value
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# Clean base message
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cleaned_message = re.sub(r'\*\*(.*?)\*\*', r'<strong>\1</strong>', assistant_message)
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cleaned_message = cleaned_message.replace("###", "<h4 style='margin-bottom: 10px;'>").replace("\n", "<br>")
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# Table builder (only if valid Markdown table found)
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if '|' in cleaned_message and cleaned_message.count('|') > 2:
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lines = cleaned_message.split('<br>')
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html_table = "<table class='spec-table'>"
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has_table = False
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for line in lines:
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if '|' in line and '---' not in line and 'Year' not in line and 'Mileage' not in line:
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cells = line.strip('|').split('|')
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if len(cells) >= 2:
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has_table = True
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row_html = '<tr>' + ''.join(f'<td>{cell.strip()}</td>' for cell in cells) + '</tr>'
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html_table += row_html
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elif '|' not in line and has_table:
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html_table += "</table><p>" + line + "</p><table class='spec-table'>"
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elif '|' not in line:
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html_table += f"<p>{line}</p>"
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html_table += "</table>"
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cleaned_message = html_table if has_table else cleaned_message
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st.success("✅ Identification Complete")
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st.markdown(f"<div class='car-spec-output'>{
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except Exception as e:
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st.error(f"❌ Error during image analysis: {str(e)}")
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</div>
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""", unsafe_allow_html=True)
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def get_or_create_thread_id():
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doc_ref = db.collection("users").document(user_id)
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doc = doc_ref.get()
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return doc.to_dict()["thread_id"]
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else:
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thread = client.beta.threads.create()
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doc_ref.set({"thread_id": thread.id, "created_at": firestore.SERVER_TIMESTAMP})
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return thread.id
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def save_message(role, content):
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else:
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st.markdown(f"<div class='stChatMessage' data-testid='stChatMessage-assistant'>{assistant_icon_html} <strong>Carfind Assistant:</strong> {data['content']}</div>", unsafe_allow_html=True)
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def format_car_response(raw_text):
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cleaned = re.sub(r'\*\*(.*?)\*\*', r'<strong>\1</strong>', raw_text)
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cleaned = cleaned.replace("###", "<h4>").replace("\n", "<br>")
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lines = raw_text.split("\n")
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table_rows = []
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intro = ""
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for line in lines:
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if "|" in line and not set(line.strip()) <= {"|", "-"}:
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parts = [part.strip() for part in line.split("|") if part.strip()]
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if len(parts) == 2:
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label, value = parts
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if value.lower() not in ["n/a", "null", "[specify mileage]", "[specify year]", "", "-"]:
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table_rows.append((label, value))
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elif not intro and line.strip():
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intro = line.strip()
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html = f"<div style='margin-bottom: 10px; font-size: 12px; color: #003B6F;'>{intro}</div>"
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if len(table_rows) >= 3:
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html += "<table class='spec-table'><tr><th>Specification</th><th>Details</th></tr>"
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for label, value in table_rows:
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html += f"<tr><td>{label}</td><td>{value}</td></tr>"
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html += "</table>"
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else:
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html += "<div style='color: grey;'>No detailed specifications available.</div>"
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return html
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# Tabs
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tab1, tab2 = st.tabs(["AI Chat", "What car is that?"])
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with tab1:
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input_col, clear_col = st.columns([9, 1])
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with input_col:
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st.error(f"Failed to clear chat: {e}")
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thread_id = get_or_create_thread_id()
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display_chat_history()
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if user_input:
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client.beta.threads.messages.create(thread_id=thread_id, role="user", content=user_input)
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save_message("user", user_input)
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time.sleep(0.5)
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st.rerun()
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with tab2:
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uploaded_image = st.file_uploader("Upload an image of a car and let Ai identify it for you", type=["jpg", "jpeg", "png"])
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if uploaded_image:
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role="user",
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content=[
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{"type": "image_file", "image_file": {"file_id": file_response.id}},
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{"type": "text", "text": "Please identify this car from the image and include a clean styled specifications as are available."}
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]
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)
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run = client.beta.threads.runs.create(thread_id=image_thread.id, assistant_id=assistant_id)
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time.sleep(1)
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messages = client.beta.threads.messages.list(thread_id=image_thread.id)
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assistant_message = messages.data[0].content[0].text.value
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formatted_html = format_car_response(assistant_message)
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st.success("✅ Identification Complete")
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st.markdown(f"<div class='car-spec-output'>{formatted_html}</div>", unsafe_allow_html=True)
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except Exception as e:
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st.error(f"❌ Error during image analysis: {str(e)}")
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