Upload 2 files

app.py

@@ -0,0 +1,75 @@
+
+import streamlit as st
+import google.generativeai as genai
+
+import os
+
+
+os.environ["google_API_KEY"] = 'AIzaSyAGB5JvQRItM2CeZjLhJp-KKljxfuPBOzo'
+genai.configure(api_key=os.getenv("google_API_KEY"))
+model = genai.GenerativeModel('gemini-pro')
+chat = model.start_chat(history=[])
+def get_gemini_response(question, gender, age, weight, height, activity_level, goals, dietary_restrictions):
+    text = f'Act as a fitness trainer and give a short but to the point answer according to the given information that I am {age} years old {gender}, my weight is {weight} kg, my height is {height}cm, i am {activity_level}, my goal is to {goals} and i am {dietary_restrictions}. my question is that {question}'
+    response =chat.send_message(text,stream=True)
+    return response
+
+st.set_page_config(page_title="Fitness AI ChatBot", page_icon="🏋️‍♀️")
+
+st.title("🔹🔷Fitee🔷🔹")
+st.write("Made with ❤️ by Mainak")
+with st.sidebar:
+    gender = st.selectbox("Gender", ["male", "female"])
+    age = st.number_input("Age", min_value=0, max_value=150, value=30)
+    weight = st.number_input("Weight (kg)", min_value=0.0, step=1.0, value=70.0)
+    height = st.number_input("Height (cm)", min_value=0.0,step=1.0, value=170.0)
+    activity_level = st.selectbox("Activity Level", ["Sedentary", "Lightly Active", "Moderately Active", "Very Active"])
+    goals = st.radio("Goals", ["Loss Weight", "Maintain Weight", "Gain Weight"])
+    dietary_restrictions = st.multiselect("Dietary Restrictions", ["Vegetarian", "Vegan", "Gluten-Free", "Dairy-Free"])
+
+if 'button_pressed' not in st.session_state:
+        st.session_state.button_pressed = False
+
+# Button to start conversation
+start_conversation = st.button("Start Conversation")
+
+if start_conversation or st.session_state.button_pressed:
+    st.session_state.button_pressed = True
+    if "messages" not in st.session_state:
+        st.session_state.messages = []
+
+    # Display chat messages from history on app rerun
+    for message in st.session_state.messages:
+        with st.chat_message(message["role"]):
+            st.markdown(message["content"])
+    if prompt := st.chat_input("What is up?"):
+        # Display user message in chat message container
+        with st.chat_message("user"):
+            st.markdown(prompt)
+        # Add user message to chat history
+        st.session_state.messages.append({"role": "user", "content": prompt})
+    if prompt is None:
+        response='Ask me anything about Fitness'
+    else:
+        with st.spinner('Typping...'):
+            re = get_gemini_response(str(prompt), gender, age, weight, height, activity_level, goals, dietary_restrictions)
+            response = ''
+            for chunk in re:
+                for ch in chunk.text.split(' '):
+                    response += ch + ' '
+            # res = []
+            # for chunk in re:
+            #     res.append(chunk.text)
+            #     st.write(chunk.text)
+                # print("_"*80)
+            # re = re["output_text"]
+            # re=return_response(str(prompt),document_search,chain)
+    # response = re
+    # Display assistant response in chat message container
+    with st.chat_message("assistant"):
+        if type(response)==str:
+            st.markdown(response)
+            st.session_state.messages.append({"role": "assistant", "content": response})
+        else:
+            st.markdown(response)      
+            st.session_state.messages.append({"role": "assistant", "content": response})

requirements.txt

@@ -0,0 +1,11 @@
+langchain
+openai
+PyPDF2
+faiss-cpu
+tiktoken
+pinecone-client
+streamlit
+pyautogui
+streamlit_autorefresh
+google-generativeai
+langchain_google_genai