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.gitignore

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+.venv

README.md

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----
-title: Physio Flex
-emoji: 🚀
-colorFrom: purple
-colorTo: red
-sdk: streamlit
-sdk_version: 1.42.2
-app_file: app.py
-pinned: false
-license: apache-2.0
-short_description: Physio-flex is an AI agent that deals in physiotherapy
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+---
+title: Physio-Flex
+emoji: 🏃
+colorFrom: gray
+colorTo: indigo
+sdk: streamlit
+sdk_version: 1.42.2
+app_file: src/app.py
+pinned: false
+thumbnail: >-
+  https://cdn-uploads.huggingface.co/production/uploads/67416a9706f2e52e3556570c/24C2U-iZbfg311-ncaSez.jpeg
+short_description: 'An helpful ai agent that deals in physiotherapy '
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

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+streamlit
+pandas
+groq
+scikit-learn

src/app.py

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+import streamlit as st
+from streamlit_app import model,home_page
+import numpy as np
+from sklearn.metrics.pairwise import cosine_similarity
+import time
+
+
+def main():
+   
+    home_page.page_config()
+
+    home_page.page_title()
+
+    username = home_page.get_or_greet_user_name()
+    
+    if username:
+
+        home_page.display_chat()
+
+        home_page.handle_user_input()
+
+if __name__ == "__main__":
+    main()

src/streamlit_app/home_page.py

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+import streamlit as st
+from streamlit_app import model
+from utils import logger
+
+
+def page_config():
+     st.set_page_config(page_title="Physio Assist", layout="wide")
+     logger.log("info","Configuring the page layout and title")
+
+def page_title():
+    st.title("🌿🤸‍♂️ Physio-Flex: Your Path to a Healthier, Stronger You")
+    logger.log("info", "Setting the title to '🌿🤸‍♂️ Physio-Flex: Your Path to a Healthier, Stronger You'")
+
+def get_or_greet_user_name():
+    if 'user_name' not in st.session_state:
+        st.session_state.user_name = None
+        logger.log("info","user_name not found in session_state, setting to None.")
+
+    if st.session_state.user_name is None:
+        logger.log("info","user_name is None, requesting user input.")
+        user_name = st.text_input("Please let me know your name:",
+                              placeholder="Enter your name buddy")
+        if user_name:
+            st.session_state.user_name = user_name
+            logger.log("info", f"User entered name: {user_name}. Setting session_state.user_name.")
+            st.rerun()
+    else:
+        logger.log("info", f"User already entered a name: {st.session_state.user_name}. Displaying greeting.")
+        return st._bottom.subheader(f"Hello {st.session_state.user_name}! How can I assist you today?")
+
+def display_chat():
+    logger.log("info","Displaying the chat history.")
+    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"])
+        logger.log("info", f"Displayed {len(st.session_state.messages)} messages from the chat history.")
+
+def handle_user_input():
+    logger.log("info", "Waiting for user input...")
+    prompt = st.chat_input("Ask me anything related to physiotherapy. E.g., 'How can I recover from a sprained ankle?'")
+
+    if prompt :
+        with st.chat_message("user"):
+            st.markdown(prompt)
+    if prompt:
+        st.session_state.messages.append({"role": "user", "content": prompt})
+
+        with st.spinner("Processing your query..."):
+            try:
+                response = model.get_physiotherapy_assistant_response(prompt)
+                with st.chat_message("assistant"):
+                    st.markdown(response)
+                st.session_state.messages.append({"role": "assistant", "content": response})
+                logger.log("info",f"Assistant response: {response}")
+            except Exception as e:
+                st.error(f"An error occurred while processing your query: {str(e)}")
+                logger.log("error", f"Error processing user query: {str(e)}")

src/streamlit_app/model.py

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+import os
+from groq import Groq
+
+# Fetch API key from environment variables
+api_key = os.getenv("GROQ_API_KEY")
+
+if not api_key:
+    raise ValueError("API key not found. Please set it in the Hugging Face Secrets.")
+
+client = Groq(api_key=api_key)
+
+def get_physiotherapy_assistant_response(prompt: str):
+    try:
+        system_message = """You are a helpful physiotherapy assistant, trained to provide useful information about exercises, recovery, and treatments. 
+        You can help users with various physical therapy-related queries."""
+
+        if not prompt or len(prompt.strip()) < 5:
+            return "Please provide more details about your physiotherapy question. I need more context to assist you effectively."
+
+        chat_completion = client.chat.completions.create(
+            messages=[
+                {"role": "system", "content": system_message},
+                {"role": "user", "content": prompt},
+            ],
+            model="llama-3.3-70b-versatile",
+        )
+        assistant_response = chat_completion.choices[0].message.content
+        return assistant_response
+    except Exception as e:
+        return f"An error occurred while processing your request: {str(e)}"

src/utils/logger.py

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+import logging
+
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    datefmt='%Y-%m-%d %H:%M')
+
+def log(log_type,message):
+    try:
+        log_type = log_type.lower()
+        if log_type == "info":
+            return logging.info(message)
+        elif log_type == "debug":
+            return logging.debug(message)
+        elif log_type == "warning":
+            return logging.error(message)
+        elif log_type == "critical":
+            return logging.critical(message)
+        elif log_type == "error":
+            return logging.error(message)
+    except Exception as e:
+            return f"Invalid log type.Error : {e}"