fist upload

.idea/.gitignore

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+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml

.idea/EmoChatBot.iml

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+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/venv" />
+    </content>
+    <orderEntry type="jdk" jdkName="emo_chatbot" jdkType="Python SDK" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/profiles_settings.xml

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+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectRootManager" version="2" project-jdk-name="emo_chatbot" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/EmoChatBot.iml" filepath="$PROJECT_DIR$/.idea/EmoChatBot.iml" />
+    </modules>
+  </component>
+</project>

.idea/vcs.xml

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+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="" vcs="Git" />
+  </component>
+</project>

app.py

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+import streamlit as st
+import openai
+from transformers import pipeline
+
+## web api key = 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
+DEFAULT_SYSTEM_PROMPT = "You are a helpful assistant, you should answer the question correctly."
+emotion_classify = pipeline("sentiment-analysis")
+
+with st.sidebar:
+    openai_api_key = st.text_input("Open AI Key", key="chat_key", type="password")
+    "[Generate An OpenAI API key](https://platform.openai.com/account/api-keys)"
+
+st.title("Emotion Chatbot")
+if "messages" not in st.session_state:
+    st.session_state["messages"] = [{"role": "assistant", "content": "How can I help you today?"}]
+
+for msg in st.session_state.messages:
+    st.chat_message(msg["role"]).write(msg["content"])
+
+if user_prompt := st.chat_input():
+    if not openai_api_key:
+        st.info("Please enter a valid api key to continue")
+        st.stop()
+
+    emo_label = emotion_classify(user_prompt)[0]["label"]
+
+    if emo_label == 'NEGATIVE':
+        print("negative emotion detacted")
+        adjusted_system_prompt = (
+            f'You are a helpful assistant, you should answer the question correctly,'
+            f' also provide some advice for {emo_label} emotion start with "I think you are feeling {emo_label},'
+            f'here are some suggestions for you"'
+        )
+    else:
+        adjusted_system_prompt = DEFAULT_SYSTEM_PROMPT
+
+    openai.api_key = openai_api_key
+    st.session_state.messages.append({"role": "user", "content": user_prompt})
+    st.chat_message("user").write(user_prompt)
+
+    # Construct history messages including the adjusted system prompt
+    history = [
+        {"role": msg["role"], "content": msg["content"]} for msg in st.session_state.messages
+    ]
+
+    response = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        messages=history
+    )
+
+    response_msg = response.choices[0].message
+    st.session_state.messages.append({"role": "assistant", "content": response_msg["content"]})
+    st.chat_message("assistant").write(response_msg["content"])

requirements.txt

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+streamlit~=1.26.0
+openai~=0.27.10
+transformers~=4.32.1