Optimized HF中国镜像站 deployment (faster startup, clean dependencies)

README.md

@@ -1,8 +1,8 @@
 ---
-title: Solar Ai Assistant1
-emoji: 🐨
-colorFrom: green
-colorTo: purple
+title: Solar AI Assistant
+emoji: ☀️
+colorFrom: blue
+colorTo: green
 sdk: streamlit
 sdk_version: 1.42.1
 app_file: app.py
@@ -10,4 +10,15 @@ pinned: false
 license: apache-2.0
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## Solar AI Assistant ☀️  
+A conversational AI assistant that provides information about **solar energy** using OpenRouter API.  
+
+### 🌟 Features
+✅ **Ask any solar-related question** (e.g., solar panels, energy storage, net metering)  
+✅ **Maintains conversation context** for natural interactions  
+✅ **Fast and lightweight deployment on HF中国镜像站 Spaces**  
+
+### 🚀 Running Locally  
+```sh
+pip install -r requirements.txt
+streamlit run app.py

app.py

@@ -2,7 +2,7 @@ import streamlit as st
 import requests
 import os
 
-# ✅ Get API Key from Environment Variable
+# ✅ Retrieve API Key from HF中国镜像站 Secrets or Environment
 HF_AUTH_TOKEN = os.getenv("HF_AUTH_TOKEN")
 
 # ✅ OpenRouter API Endpoint
@@ -13,11 +13,10 @@ st.set_page_config(page_title="Solar Industry AI Assistant", layout="wide")
 st.title("☀️ Solar Industry AI Assistant")
 st.write("_Ask me anything about solar energy!_")
 
-# ✅ Maintain conversation history in session state
+# ✅ Maintain chat history to preserve context across user interactions
 if "messages" not in st.session_state:
     st.session_state["messages"] = []
 
-# ✅ Display previous chat history with better formatting
 st.markdown("---")
 for role, content in st.session_state["messages"]:
     if role == "You":
@@ -26,7 +25,7 @@ for role, content in st.session_state["messages"]:
         st.markdown(f"🤖 **AI:** {content}")
 st.markdown("---")
 
-# ✅ User input
+# ✅ User input field
 user_input = st.text_input("Type your question below:")
 
 col1, col2 = st.columns([3, 1])
@@ -35,41 +34,40 @@ with col1:
 with col2:
     clear_button = st.button("🗑️ Clear Chat")
 
+# ✅ Handle chat clearing
 if clear_button:
-    st.session_state["messages"] = []  # ✅ Clear chat history
+    st.session_state["messages"] = []  
     st.rerun()
 
+# ✅ Handle user queries
 if ask_button:
-    if user_input.strip():  # Ensure input is not empty
-        st.session_state["messages"].append(("You", user_input))  # Save user message
+    if user_input.strip():  
+        st.session_state["messages"].append(("You", user_input))
 
-        # ✅ Construct structured prompt
+        # ✅ Construct structured conversation history
         chat_history = [
-            {"role": "system", "content": "You are a solar energy expert. Provide clear, structured, and factual responses to user queries."}
+            {"role": "system", "content": "You are a solar energy expert. Provide structured, informative answers while maintaining conversation flow."}
         ]
-        chat_history += [{"role": "user", "content": msg[1]} for msg in st.session_state["messages"]]
+        chat_history += [{"role": "user", "content": msg[1]} if msg[0] == "You" else {"role": "assistant", "content": msg[1]} for msg in st.session_state["messages"]]
 
-        # ✅ Define API request
+        # ✅ API request setup
         headers = {"Authorization": f"Bearer {HF_AUTH_TOKEN}", "Content-Type": "application/json"}
         data = {
             "model": "cognitivecomputations/dolphin3.0-r1-mistral-24b:free",  
             "messages": chat_history,
-            "temperature": 0.3  # ✅ Lowered for factual accuracy
+            "temperature": 0.3  
         }
 
-        with st.spinner("🤖 AI is thinking..."):  # ✅ Show loading spinner
+        with st.spinner("🤖 AI is thinking..."):
             try:
                 response = requests.post(API_URL, headers=headers, json=data)
-                print("DEBUG: OpenRouter Response ->", response.status_code, response.json())
-
                 if response.status_code == 200:
                     bot_reply = response.json().get("choices", [{}])[0].get("message", {}).get("content", "No response received.")
                 else:
                     bot_reply = f"Error: {response.status_code}, {response.json()}"
-
             except Exception as e:
                 bot_reply = f"Error: {str(e)}"
 
-        # ✅ Save AI response and refresh UI
+        # ✅ Store AI response and refresh UI
         st.session_state["messages"].append(("AI", bot_reply))
         st.rerun()