Create app.py

app.py

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+import os
+import streamlit as st
+from groq import Groq
+
+# Set the Groq API key
+os.environ["GROQ_API_KEY"] = "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"
+
+# Initialize Groq client
+client = Groq(api_key=os.environ.get("GROQ_API_KEY"))
+
+# Carbon footprint reduction data (kg CO2 per kg recycled)
+carbon_reduction_data = {
+    "Plastic Bottles": 3.8,
+    "Glass Bottles": 0.5,
+    "Metal Cans": 9.0,
+    "Old Clothes": 2.0,
+    "Paper and Cardboard": 1.3,
+    "E-Waste": 15.0,
+    "Tires": 8.0,
+}
+
+# Function to call Groq LLM
+def get_recycling_suggestions_from_groq(item, quantity):
+    prompt = (
+        f"You are an expert in recycling and sustainability. "
+        f"Suggest profitable and eco-friendly uses for {quantity} kg of {item}, "
+        f"including household uses, ways to monetize them, and calculate carbon footprint reduction."
+    )
+    chat_completion = client.chat.completions.create(
+        messages=[{"role": "user", "content": prompt}],
+        model="llama-3.3-70b-versatile",
+        stream=False,
+    )
+    return chat_completion.choices[0].message.content
+
+# App title
+st.title("♻️ Recycle with Groq LLM 🌍")
+st.write("Select clutter items, specify quantities, and get tailored, profitable recycling suggestions along with carbon footprint reduction scores!")
+
+# Multi-select input for clutter items
+selected_items = st.multiselect(
+    "Select items to recycle:",
+    list(carbon_reduction_data.keys())
+)
+
+# Quantity input for selected items
+quantities = {}
+for item in selected_items:
+    quantities[item] = st.number_input(
+        f"Enter quantity for {item} (in kg):", min_value=0, step=1
+    )
+
+# Process and display results
+if st.button("Get Recycling Suggestions"):
+    if selected_items:
+        total_carbon_reduction = 0
+        st.write("### ♻️ Recycling Suggestions and Impact:")
+        for item, quantity in quantities.items():
+            if quantity > 0:
+                # Call Groq LLM for dynamic suggestions
+                llm_response = get_recycling_suggestions_from_groq(item, quantity)
+
+                # Fetch carbon footprint reduction
+                carbon_reduction = carbon_reduction_data.get(item, 0) * quantity
+                total_carbon_reduction += carbon_reduction
+
+                # Display results for each item
+                st.write(f"**{item} ({quantity} kg)**")
+                st.write(llm_response)
+                st.write(f"🌍 **Carbon Footprint Reduction**: {carbon_reduction:.2f} kg CO₂")
+                st.write("---")
+
+        # Display total carbon footprint reduction credit score
+        st.write("### 🌟 Your Total Carbon Footprint Reduction 🌟")
+        st.write(f"🌍 **{total_carbon_reduction:.2f} kg CO₂ saved**")
+        st.success("Great job contributing to a greener planet! 🌱💚")
+    else:
+        st.error("Please select at least one item and specify its quantity.")
+
+# Follow-up Q&A with Groq LLM
+st.write("### 🤔 Have more questions about recycling?")
+user_query = st.text_input("Ask the Groq LLM about recycling:")
+if st.button("Ask Groq"):
+    if user_query:
+        follow_up_response = client.chat.completions.create(
+            messages=[{"role": "user", "content": user_query}],
+            model="llama-3.3-70b-versatile",
+            stream=False,
+        ).choices[0].message.content
+        st.write("### 🧠 Groq LLM's Answer:")
+        st.write(follow_up_response)
+    else:
+        st.error("Please enter a question.")