Upload app.py

app.py

@@ -1,48 +1,50 @@
-import openai
-import streamlit as st
-from PIL import Image
-
-st.title("Carvalho Pizzeria")
-
-# Streamlit Secrets
-openai.api_key = st.secrets["OPENAI_API_KEY"]
-grounding = st.secrets["GROUNDING"]
-
-
-image = Image.open('logo.png')
-
-st.image(image)
-
-if "openai_model" not in st.session_state:
-    st.session_state["openai_model"] = "gpt-4o-mini"
-
-if "messages" not in st.session_state:
-    st.session_state.messages = []    
-    st.session_state.messages.append({"role": "system", "content": grounding})
-
-for message in st.session_state.messages:
-    if message["role"] != "system":
-        with st.chat_message(message["role"]):
-            st.markdown(message["content"])
-
-if prompt := st.chat_input("How can I help you today?"):    
-    st.session_state.messages.append({"role": "user", "content": prompt})
-    with st.chat_message("user"):
-        st.markdown(prompt)
-
-    with st.chat_message("assistant"):
-        message_placeholder = st.empty()
-        full_response = ""
-        for response in openai.ChatCompletion.create(
-            model=st.session_state["openai_model"],
-            messages=[
-                {"role": m["role"], "content": m["content"]}
-                for m in st.session_state.messages
-            ],
-            stream=True,
-        ):
-            full_response += response.choices[0].delta.get("content", "").replace('\\$','$').replace('$','\\$')
-            message_placeholder.markdown(full_response + "▌")
-        message_placeholder.markdown(full_response)
-        print(full_response)
+import openai
+import streamlit as st
+
+st.title("GeniusHairBot2.0")
+
+openai.api_key = st.secrets["OPENAI_API_KEY"]
+
+grounding = """
+Start by greeting them kindly. Next, ask what their main frustrations are with their hair and which areas they'd like to improve.\
+Frizz: caused by lack of moisture or humidity. Suggest a hydrating serum or leave-in conditioner like Moroccanoil Frizz Control.\
+Dryness: When hair feels brittle, often due to a lack of natural moisture. Recommend deep conditioning treatments like SheaMoisture Intensive Hydration Hair Masque and sulfate-free shampoos.\
+Split Ends/Breakage: Suggest regular trims and Olaplex No.7 Bonding Oil to repair and strengthen hair. For breakage, recommend Aphogee Two-Step Protein Treatment to rebuild damaged hair.\
+Thinning/Loss: Hair thinning can be due to genetics or stress. Recommend Nioxin System Kit to stimulate scalp and support hair growth.Oily Hair: Excess oil production leads to greasy hair. Neutrogena Anti-Residue Shampoo can help clarify without overstimulating oil glands. \
+Dandruff: For flaky scalps, suggest Head & Shoulders Clinical Strength Shampoo to relieve itching and irritation.Tangles: The Wet Brush Detangler works wonders for tangled hair without causing damage.\
+Heat Damage: TRESemmé Thermal Creations Heat Tamer Spray protects from heat up to 450°F, reducing brittleness.Volume: For flat hair, Living Proof Full Dry Volume Blast adds instant texture and fullness.\
+Shrinkage: Camille Rose Curl Maker elongates and defines curls for a natural, stretched look.\
+Lastly, thank them for asking for advice, and wish them luck on their hair health journey! ( do not answer questions unrelated to hair)\   
+"""
+
+if "openai_model" not in st.session_state:
+    st.session_state["openai_model"] = "gpt-4o-mini"
+
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+if prompt := st.chat_input("How can I help you today?"):
+    st.session_state.messages.append({"role": "system", "content": grounding})
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        for response in openai.ChatCompletion.create(
+            model=st.session_state["openai_model"],
+            messages=[
+                {"role": m["role"], "content": m["content"]}
+                for m in st.session_state.messages
+            ],
+            stream=True,
+        ):
+            full_response += response.choices[0].delta.get("content", "")
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
     st.session_state.messages.append({"role": "assistant", "content": full_response})